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Break
Mon Dec 04 07:00 AM -- 08:00 AM (PST)
coffee, no breakfast served
Tutorial
Mon Dec 04 08:00 AM -- 10:15 AM (PST) @ Grand Ballroom
A Primer on Optimal Transport
Break
Mon Dec 04 10:15 AM -- 10:45 AM (PST)
Coffee Break
Tutorial
Mon Dec 04 10:45 AM -- 01:00 PM (PST) @ Grand Ballroom
Fairness in Machine Learning
Tutorial
Mon Dec 04 10:45 AM -- 01:00 PM (PST) @ Hall A
Deep Probabilistic Modelling with Gaussian Processes
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Video]
Tutorial
Mon Dec 04 10:45 AM -- 01:00 PM (PST) @ Hall C
Statistical Relational Artificial Intelligence: Logic, Probability and Computation
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Video]
Tutorial
Mon Dec 04 02:30 PM -- 04:45 PM (PST) @ Hall A
Geometric Deep Learning on Graphs and Manifolds
Tutorial
Mon Dec 04 02:30 PM -- 04:45 PM (PST) @ Grand Ballroom
Differentially Private Machine Learning: Theory, Algorithms and Applications
Tutorial
Mon Dec 04 02:30 PM -- 04:45 PM (PST) @ Hall C
Engineering and Reverse-Engineering Intelligence Using Probabilistic Programs, Program Induction, and Deep Learning
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Video]
Invited Talk (Posner Lecture)
Mon Dec 04 05:30 PM -- 06:20 PM (PST) @ Hall A
Powering the next 100 years
[
Video]
Break
Mon Dec 04 06:30 PM -- 08:30 PM (PST)
Opening Reception
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #1
Learning Active Learning from Data
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #2
Scalable Variational Inference for Dynamical Systems
In
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Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #3
Active Learning from Peers
In
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Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #4
Gradient Episodic Memory for Continual Learning
In
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #5
Consistent Multitask Learning with Nonlinear Output Relations
In
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Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #6
Joint distribution optimal transportation for domain adaptation
In
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #7
Learning Multiple Tasks with Multilinear Relationship Networks
In
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #8
Label Efficient Learning of Transferable Representations acrosss Domains and Tasks
In
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #9
Matching neural paths: transfer from recognition to correspondence search
In
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #10
Do Deep Neural Networks Suffer from Crowding?
In
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #11
SVCCA: Singular Vector Canonical Correlation Analysis for Deep Learning Dynamics and Interpretability
In
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Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #12
Neural Expectation Maximization
In
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #13
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
In
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #14
PRUNE: Preserving Proximity and Global Ranking for Network Embedding
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #15
Unsupervised Transformation Learning via Convex Relaxations
In
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #16
Hunt For The Unique, Stable, Sparse And Fast Feature Learning On Graphs
In
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #17
Deep Subspace Clustering Networks
In
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #18
Learning Graph Representations with Embedding Propagation
In
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #19
Unsupervised Sequence Classification using Sequential Output Statistics
In
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Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #20
Context Selection for Embedding Models
In
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #21
Probabilistic Rule Realization and Selection
In
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Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #22
Trimmed Density Ratio Estimation
In
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #23
A Minimax Optimal Algorithm for Crowdsourcing
In
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Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #24
Introspective Classification with Convolutional Nets
In
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Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #25
Adaptive Classification for Prediction Under a Budget
In
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #26
Learning with Feature Evolvable Streams
In
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Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #27
Aggressive Sampling for Multi-class to Binary Reduction with Applications to Text Classification
In
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #28
Adversarial Surrogate Losses for Ordinal Regression
In
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #29
Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation
In
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #30
Cost efficient gradient boosting
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #31
LightGBM: A Highly Efficient Gradient Boosting Decision Tree
In
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #32
Estimating Accuracy from Unlabeled Data: A Probabilistic Logic Approach
In
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #33
Inferring Generative Model Structure with Static Analysis
In
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #34
Scalable Model Selection for Belief Networks
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Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #35
Time-dependent spatially varying graphical models, with application to brain fMRI data analysis
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Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #36
A Bayesian Data Augmentation Approach for Learning Deep Models
In
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #37
Union of Intersections (UoI) for Interpretable Data Driven Discovery and Prediction
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Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #38
Deep Learning with Topological Signatures
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #39
Practical Hash Functions for Similarity Estimation and Dimensionality Reduction
In
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #40
Maxing and Ranking with Few Assumptions
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Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #41
Kernel functions based on triplet comparisons
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Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #42
Learning A Structured Optimal Bipartite Graph for Co-Clustering
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Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #43
Multi-way Interacting Regression via Factorization Machines
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #44
Maximum Margin Interval Trees
In
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #45
Kernel Feature Selection via Conditional Covariance Minimization
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #46
Improved Graph Laplacian via Geometric Self-Consistency
In
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Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #47
Mixture-Rank Matrix Approximation for Collaborative Filtering
In
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Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #48
Predictive State Recurrent Neural Networks
In
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #49
Hierarchical Methods of Moments
In
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Paper]
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Video Presentation]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #50
Multitask Spectral Learning of Weighted Automata
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Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #51
Generative Local Metric Learning for Kernel Regression
In
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #52
Principles of Riemannian Geometry in Neural Networks
In
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Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #53
Subset Selection and Summarization in Sequential Data
In
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Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #54
On Quadratic Convergence of DC Proximal Newton Algorithm in Nonconvex Sparse Learning
In
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Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #55
Fast, Sample-Efficient Algorithms for Structured Phase Retrieval
In
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #56
k-Support and Ordered Weighted Sparsity for Overlapping Groups: Hardness and Algorithms
In
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Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #57
Parametric Simplex Method for Sparse Learning
In
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Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #58
Learned D-AMP: Principled Neural Network based Compressive Image Recovery
In
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #59
FALKON: An Optimal Large Scale Kernel Method
In
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #60
Recursive Sampling for the Nystrom Method
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #61
Efficient Approximation Algorithms for Strings Kernel Based Sequence Classification
In
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #62
Robust Hypothesis Test for Nonlinear Effect with Gaussian Processes
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Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #63
Invariance and Stability of Deep Convolutional Representations
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Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #64
Testing and Learning on Distributions with Symmetric Noise Invariance
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #65
An Empirical Study on The Properties of Random Bases for Kernel Methods
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Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #66
Max-Margin Invariant Features from Transformed Unlabelled Data
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Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #67
SafetyNets: Verifiable Execution of Deep Neural Networks on an Untrusted Cloud
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Paper]
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Video Presentation]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #69
The Neural Hawkes Process: A Neurally Self-Modulating Multivariate Point Process
In
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #70
The Importance of Communities for Learning to Influence
In
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Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #71
Inductive Representation Learning on Large Graphs
In
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #72
A Meta-Learning Perspective on Cold-Start Recommendations for Items
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Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #73
DropoutNet: Addressing Cold Start in Recommender Systems
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #74
Federated Multi-Task Learning
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #75
Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks
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Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #76
Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes
In
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Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #77
Tomography of the London Underground: a Scalable Model for Origin-Destination Data
In
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Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #78
Matching on Balanced Nonlinear Representations for Treatment Effects Estimation
In
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Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #79
SchNet: A continuous-filter convolutional neural network for modeling quantum interactions
In
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #80
Hiding Images in Plain Sight: Deep Steganography
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Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #81
Universal Style Transfer via Feature Transforms
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #82
Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin
In
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #83
Unbounded cache model for online language modeling with open vocabulary
In
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Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #84
Deconvolutional Paragraph Representation Learning
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Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #85
Analyzing Hidden Representations in End-to-End Automatic Speech Recognition Systems
In
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #86
Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog Model
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #87
Teaching Machines to Describe Images with Natural Language Feedback
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #88
High-Order Attention Models for Visual Question Answering
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Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #89
Visual Reference Resolution using Attention Memory for Visual Dialog
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Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #90
Semi-Supervised Learning for Optical Flow with Generative Adversarial Networks
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Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #91
Associative Embedding: End-to-End Learning for Joint Detection and Grouping
In
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #92
Learning Deep Structured Multi-Scale Features using Attention-Gated CRFs for Contour Prediction
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #93
Incorporating Side Information by Adaptive Convolution
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Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #94
Learning a Multi-View Stereo Machine
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #95
Pose Guided Person Image Generation
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #96
Working hard to know your neighbor's margins: Local descriptor learning loss
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #97
Toward Multimodal Image-to-Image Translation
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #98
Deep Supervised Discrete Hashing
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #99
SVD-Softmax: Fast Softmax Approximation on Large Vocabulary Neural Networks
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Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #100
Hash Embeddings for Efficient Word Representations
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #101
A Regularized Framework for Sparse and Structured Neural Attention
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Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #102
Attentional Pooling for Action Recognition
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #103
Plan, Attend, Generate: Planning for Sequence-to-Sequence Models
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #104
Dilated Recurrent Neural Networks
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #105
Learning Hierarchical Information Flow with Recurrent Neural Modules
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #106
Wasserstein Learning of Deep Generative Point Process Models
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Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #107
Stabilizing Training of Generative Adversarial Networks through Regularization
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #108
Neural Variational Inference and Learning in Undirected Graphical Models
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Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #109
Adversarial Symmetric Variational Autoencoder
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #110
Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space
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Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #111
Z-Forcing: Training Stochastic Recurrent Networks
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #112
One-Shot Imitation Learning
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #113
Reconstruct & Crush Network
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #114
Fader Networks:Manipulating Images by Sliding Attributes
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #115
PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #116
VAIN: Attentional Multi-agent Predictive Modeling
In
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Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #117
Real Time Image Saliency for Black Box Classifiers
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #118
Prototypical Networks for Few-shot Learning
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Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #119
Few-Shot Learning Through an Information Retrieval Lens
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Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #120
The Reversible Residual Network: Backpropagation Without Storing Activations
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Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #121
Gated Recurrent Convolution Neural Network for OCR
In
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #122
Learning Efficient Object Detection Models with Knowledge Distillation
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Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #124
Decoupling "when to update" from "how to update"
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Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #125
Langevin Dynamics with Continuous Tempering for Training Deep Neural Networks
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #126
Differentiable Learning of Logical Rules for Knowledge Base Reasoning
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Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #127
Deliberation Networks: Sequence Generation Beyond One-Pass Decoding
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #128
Neural Program Meta-Induction
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #129
Saliency-based Sequential Image Attention with Multiset Prediction
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Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #130
Protein Interface Prediction using Graph Convolutional Networks
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #131
Dual-Agent GANs for Photorealistic and Identity Preserving Profile Face Synthesis
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #132
Toward Robustness against Label Noise in Training Deep Discriminative Neural Networks
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #133
Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #134
Selective Classification for Deep Neural Networks
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Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #135
Deep Lattice Networks and Partial Monotonic Functions
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Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #136
Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon
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Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #137
Bayesian Compression for Deep Learning
In
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #138
Lower bounds on the robustness to adversarial perturbations
In
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Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #139
Sobolev Training for Neural Networks
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Paper]
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Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #140
Structured Bayesian Pruning via Log-Normal Multiplicative Noise
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #141
Population Matching Discrepancy and Applications in Deep Learning
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Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #142
Resurrecting the sigmoid in deep learning through dynamical isometry: theory and practice
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Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #143
Robust Imitation of Diverse Behaviors
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Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #144
Question Asking as Program Generation
In
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #145
Variational Laws of Visual Attention for Dynamic Scenes
In
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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #146
Flexible statistical inference for mechanistic models of neural dynamics
In
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Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #147
Training recurrent networks to generate hypotheses about how the brain solves hard navigation problems
In
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Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #148
YASS: Yet Another Spike Sorter
In
Posters Mon
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #149
Neural system identification for large populations separating “what” and “where”
In
Posters Mon
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #150
A simple model of recognition and recall memory
In
Posters Mon
[
Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #151
Gaussian process based nonlinear latent structure discovery in multivariate spike train data
In
Posters Mon
[
Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #152
Reconstructing perceived faces from brain activations with deep adversarial neural decoding
In
Posters Mon
[
Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #153
Cross-Spectral Factor Analysis
In
Posters Mon
[
Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #154
Regularized Modal Regression with Applications in Cognitive Impairment Prediction
In
Posters Mon
[
Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #155
Stochastic Submodular Maximization: The Case of Coverage Functions
In
Posters Mon
[
Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #156
Gradient Methods for Submodular Maximization
In
Posters Mon
[
Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #157
Non-convex Finite-Sum Optimization Via SCSG Methods
In
Posters Mon
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #158
Influence Maximization with $\varepsilon$-Almost Submodular Threshold Functions
In
Posters Mon
[
Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #159
Subset Selection under Noise
In
Posters Mon
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #160
Polynomial time algorithms for dual volume sampling
In
Posters Mon
[
Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #161
Lookahead Bayesian Optimization with Inequality Constraints
In
Posters Mon
[
Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #162
Non-monotone Continuous DR-submodular Maximization: Structure and Algorithms
In
Posters Mon
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #163
Solving Most Systems of Random Quadratic Equations
In
Posters Mon
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #164
Learning ReLUs via Gradient Descent
In
Posters Mon
[
Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #165
Stochastic Mirror Descent in Variationally Coherent Optimization Problems
In
Posters Mon
[
Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #166
Accelerated First-order Methods for Geodesically Convex Optimization on Riemannian Manifolds
In
Posters Mon
[
Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #167
On the Fine-Grained Complexity of Empirical Risk Minimization: Kernel Methods and Neural Networks
In
Posters Mon
[
Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #168
Large-Scale Quadratically Constrained Quadratic Program via Low-Discrepancy Sequences
In
Posters Mon
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #169
A New Alternating Direction Method for Linear Programming
In
Posters Mon
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #170
Dykstra's Algorithm, ADMM, and Coordinate Descent: Connections, Insights, and Extensions
In
Posters Mon
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #171
Smooth Primal-Dual Coordinate Descent Algorithms for Nonsmooth Convex Optimization
In
Posters Mon
[
Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #172
First-Order Adaptive Sample Size Methods to Reduce Complexity of Empirical Risk Minimization
In
Posters Mon
[
Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #173
Accelerated consensus via Min-Sum Splitting
In
Posters Mon
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #174
Integration Methods and Optimization Algorithms
In
Posters Mon
[
Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #175
Efficient Use of Limited-Memory Accelerators for Linear Learning on Heterogeneous Systems
In
Posters Mon
[
Paper]
[
Video Presentation]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #176
A Screening Rule for l1-Regularized Ising Model Estimation
In
Posters Mon
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #177
Uprooting and Rerooting Higher-Order Graphical Models
In
Posters Mon
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #178
Concentration of Multilinear Functions of the Ising Model with Applications to Network Data
In
Posters Mon
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #179
Inference in Graphical Models via Semidefinite Programming Hierarchies
In
Posters Mon
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #180
Beyond normality: Learning sparse probabilistic graphical models in the non-Gaussian setting
In
Posters Mon
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #181
Dynamic Importance Sampling for Anytime Bounds of the Partition Function
In
Posters Mon
[
Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #182
Nonbacktracking Bounds on the Influence in Independent Cascade Models
In
Posters Mon
[
Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #183
Rigorous Dynamics and Consistent Estimation in Arbitrarily Conditioned Linear Systems
In
Posters Mon
[
Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #184
Learning Disentangled Representations with Semi-Supervised Deep Generative Models
In
Posters Mon
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #185
Gauging Variational Inference
In
Posters Mon
[
Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #186
Variational Inference via $\chi$ Upper Bound Minimization
In
Posters Mon
[
Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #187
Collapsed variational Bayes for Markov jump processes
In
Posters Mon
[
Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #188
Bayesian Dyadic Trees and Histograms for Regression
In
Posters Mon
[
Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #189
Differentially private Bayesian learning on distributed data
In
Posters Mon
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #190
Model-Powered Conditional Independence Test
In
Posters Mon
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #191
When Worlds Collide: Integrating Different Counterfactual Assumptions in Fairness
In
Posters Mon
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #192
Q-LDA: Uncovering Latent Patterns in Text-based Sequential Decision Processes
In
Posters Mon
[
Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #193
Probabilistic Models for Integration Error in the Assessment of Functional Cardiac Models
In
Posters Mon
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #194
Expectation Propagation for t-Exponential Family Using q-Algebra
In
Posters Mon
[
Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #195
A Probabilistic Framework for Nonlinearities in Stochastic Neural Networks
In
Posters Mon
[
Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #196
Clone MCMC: Parallel High-Dimensional Gaussian Gibbs Sampling
In
Posters Mon
[
Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #197
Learning spatiotemporal piecewise-geodesic trajectories from longitudinal manifold-valued data
In
Posters Mon
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #198
Scalable Levy Process Priors for Spectral Kernel Learning
In
Posters Mon
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #199
InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations
In
Posters Mon
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #200
Hybrid Reward Architecture for Reinforcement Learning
In
Posters Mon
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #201
Shallow Updates for Deep Reinforcement Learning
In
Posters Mon
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #202
Towards Generalization and Simplicity in Continuous Control
In
Posters Mon
[
Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #203
Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning
In
Posters Mon
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #204
Scalable Planning with Tensorflow for Hybrid Nonlinear Domains
In
Posters Mon
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #205
Task-based End-to-end Model Learning in Stochastic Optimization
In
Posters Mon
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #206
Value Prediction Network
In
Posters Mon
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #207
Variable Importance Using Decision Trees
In
Posters Mon
[
Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #208
The Expressive Power of Neural Networks: A View from the Width
In
Posters Mon
[
Paper]
[
Video Presentation]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #209
SGD Learns the Conjugate Kernel Class of the Network
In
Posters Mon
[
Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #210
Effective Parallelisation for Machine Learning
In
Posters Mon
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #211
Noise-Tolerant Interactive Learning Using Pairwise Comparisons
In
Posters Mon
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #212
A PAC-Bayesian Analysis of Randomized Learning with Application to Stochastic Gradient Descent
In
Posters Mon
[
Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #213
Revisiting Perceptron: Efficient and Label-Optimal Learning of Halfspaces
In
Posters Mon
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #214
Sample and Computationally Efficient Learning Algorithms under S-Concave Distributions
In
Posters Mon
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #215
Nearest-Neighbor Sample Compression: Efficiency, Consistency, Infinite Dimensions
In
Posters Mon
[
Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #216
Learning Identifiable Gaussian Bayesian Networks in Polynomial Time and Sample Complexity
In
Posters Mon
[
Paper]
[
Video Presentation]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #217
From which world is your graph
In
Posters Mon
[
Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #218
Mean Field Residual Networks: On the Edge of Chaos
In
Posters Mon
[
Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #219
Learning from uncertain curves: The 2-Wasserstein metric for Gaussian processes
In
Posters Mon
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #220
On clustering network-valued data
In
Posters Mon
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #221
On the Power of Truncated SVD for General High-rank Matrix Estimation Problems
In
Posters Mon
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #222
AdaGAN: Boosting Generative Models
In
Posters Mon
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #223
Discovering Potential Correlations via Hypercontractivity
In
Posters Mon
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #224
Phase Transitions in the Pooled Data Problem
In
Posters Mon
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #225
Coded Distributed Computing for Inverse Problems
In
Posters Mon
[
Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #226
Query Complexity of Clustering with Side Information
In
Posters Mon
[
Paper]
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #227
Revisit Fuzzy Neural Network: Demystifying Batch Normalization and ReLU with Generalized Hamming Network
In
Posters Mon
[
Paper]
Break
Tue Dec 05 07:30 AM -- 09:00 AM (PST)
coffee, no breakfast served
Invited Talk
Tue Dec 05 09:00 AM -- 09:50 AM (PST) @ Hall A
Why AI Will Make it Possible to Reprogram the Human Genome
[
Video]
Break
Tue Dec 05 10:10 AM -- 10:40 AM (PST)
Coffee Break
Oral
Tue Dec 05 10:40 AM -- 10:55 AM (PST) @ Hall A
Diffusion Approximations for Online Principal Component Estimation and Global Convergence
In
Algorithms
Oral
Tue Dec 05 10:40 AM -- 10:55 AM (PST) @ Hall C
On the Optimization Landscape of Tensor Decompositions
In
Optimization
Oral
Tue Dec 05 10:55 AM -- 11:10 AM (PST) @ Hall A
Positive-Unlabeled Learning with Non-Negative Risk Estimator
In
Algorithms
Oral
Tue Dec 05 10:55 AM -- 11:10 AM (PST) @ Hall C
Robust Optimization for Non-Convex Objectives
In
Optimization
Oral
Tue Dec 05 11:10 AM -- 11:25 AM (PST) @ Hall A
Approximation Bounds for Hierarchical Clustering: Average Linkage, Bisecting K-means, and Local Search
In
Algorithms
Oral
Tue Dec 05 11:10 AM -- 11:25 AM (PST) @ Hall C
Bayesian Optimization with Gradients
In
Optimization
Spotlight
Tue Dec 05 11:25 AM -- 11:30 AM (PST) @ Hall A
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
In
Algorithms
Spotlight
Tue Dec 05 11:25 AM -- 11:30 AM (PST) @ Hall C
Gradient Descent Can Take Exponential Time to Escape Saddle Points
In
Optimization
Spotlight
Tue Dec 05 11:30 AM -- 11:35 AM (PST) @ Hall A
Communication-Efficient Stochastic Gradient Descent, with Applications to Neural Networks
In
Algorithms
Spotlight
Tue Dec 05 11:30 AM -- 11:35 AM (PST) @ Hall C
Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration
In
Optimization
Spotlight
Tue Dec 05 11:35 AM -- 11:40 AM (PST) @ Hall A
Inhomogoenous Hypergraph Clustering with Applications
In
Algorithms
Spotlight
Tue Dec 05 11:35 AM -- 11:40 AM (PST) @ Hall C
Limitations on Variance-Reduction and Acceleration Schemes for Finite Sums Optimization
In
Optimization
Spotlight
Tue Dec 05 11:40 AM -- 11:45 AM (PST) @ Hall A
K-Medoids For K-Means Seeding
In
Algorithms
Spotlight
Tue Dec 05 11:40 AM -- 11:45 AM (PST) @ Hall C
Implicit Regularization in Matrix Factorization
In
Optimization
Spotlight
Tue Dec 05 11:45 AM -- 11:50 AM (PST) @ Hall A
Online Learning with Transductive Regret
In
Algorithms
Spotlight
Tue Dec 05 11:45 AM -- 11:50 AM (PST) @ Hall C
Linear Convergence of a Frank-Wolfe Type Algorithm over Trace-Norm Balls
In
Optimization
Spotlight
Tue Dec 05 11:50 AM -- 11:55 AM (PST) @ Hall A
Matrix Norm Estimation from a Few Entries
In
Algorithms
Spotlight
Tue Dec 05 11:50 AM -- 11:55 AM (PST) @ Hall C
Acceleration and Averaging in Stochastic Descent Dynamics
In
Optimization
Spotlight
Tue Dec 05 11:55 AM -- 12:00 PM (PST) @ Hall A
Semisupervised Clustering, AND-Queries and Locally Encodable Source Coding
In
Algorithms
Spotlight
Tue Dec 05 11:55 AM -- 12:00 PM (PST) @ Hall C
When Cyclic Coordinate Descent Outperforms Randomized Coordinate Descent
In
Optimization
Oral
Tue Dec 05 02:50 PM -- 03:05 PM (PST) @ Hall A
Streaming Weak Submodularity: Interpreting Neural Networks on the Fly
Oral
Tue Dec 05 02:50 PM -- 03:05 PM (PST) @ Hall C
Safe and Nested Subgame Solving for Imperfect-Information Games
In
Theory
Oral
Tue Dec 05 03:05 PM -- 03:20 PM (PST) @ Hall A
A unified approach to interpreting model predictions
Oral
Tue Dec 05 03:05 PM -- 03:20 PM (PST) @ Hall C
A graph-theoretic approach to multitasking
In
Theory
Spotlight
Tue Dec 05 03:20 PM -- 03:25 PM (PST) @ Hall A
Differentiable Learning of Submodular Functions
Spotlight
Tue Dec 05 03:20 PM -- 03:25 PM (PST) @ Hall C
Information-theoretic analysis of generalization capability of learning algorithms
In
Theory
Spotlight
Tue Dec 05 03:25 PM -- 03:30 PM (PST) @ Hall A
Generalized Linear Model Regression under Distance-to-set Penalties
Spotlight
Tue Dec 05 03:25 PM -- 03:30 PM (PST) @ Hall C
Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee
In
Theory
Spotlight
Tue Dec 05 03:30 PM -- 03:35 PM (PST) @ Hall A
Decomposable Submodular Function Minimization: Discrete and Continuous
Spotlight
Tue Dec 05 03:30 PM -- 03:35 PM (PST) @ Hall C
Clustering Billions of Reads for DNA Data Storage
In
Theory
Spotlight
Tue Dec 05 03:35 PM -- 03:40 PM (PST) @ Hall A
Unbiased estimates for linear regression via volume sampling
Spotlight
Tue Dec 05 03:35 PM -- 03:40 PM (PST) @ Hall C
On the Complexity of Learning Neural Networks
In
Theory
Spotlight
Tue Dec 05 03:40 PM -- 03:45 PM (PST) @ Hall A
On Frank-Wolfe and Equilibrium Computation
Spotlight
Tue Dec 05 03:40 PM -- 03:45 PM (PST) @ Hall C
Multiplicative Weights Update with Constant Step-Size in Congestion Games: Convergence, Limit Cycles and Chaos
In
Theory
Spotlight
Tue Dec 05 03:45 PM -- 03:50 PM (PST) @ Hall A
On Separability of Loss Functions, and Revisiting Discriminative Vs Generative Models
Spotlight
Tue Dec 05 03:45 PM -- 03:50 PM (PST) @ Hall C
Estimating Mutual Information for Discrete-Continuous Mixtures
In
Theory
Break
Tue Dec 05 03:50 PM -- 04:20 PM (PST)
Coffee Break
Oral
Tue Dec 05 04:20 PM -- 04:35 PM (PST) @ Hall A
Unsupervised learning of object frames by dense equivariant image labelling
Oral
Tue Dec 05 04:20 PM -- 04:35 PM (PST) @ Hall C
A Linear-Time Kernel Goodness-of-Fit Test
In
Algorithms
Oral
Tue Dec 05 04:35 PM -- 04:50 PM (PST) @ Hall A
Interpretable and Globally Optimal Prediction for Textual Grounding using Image Concepts
Oral
Tue Dec 05 04:35 PM -- 04:50 PM (PST) @ Hall C
Generalization Properties of Learning with Random Features
In
Algorithms
Oral
Tue Dec 05 04:50 PM -- 05:05 PM (PST) @ Hall A
Eigen-Distortions of Hierarchical Representations
Oral
Tue Dec 05 04:50 PM -- 05:05 PM (PST) @ Hall C
Communication-Efficient Distributed Learning of Discrete Distributions
In
Algorithms
Spotlight
Tue Dec 05 05:05 PM -- 05:10 PM (PST) @ Hall A
Towards Accurate Binary Convolutional Neural Network
Spotlight
Tue Dec 05 05:05 PM -- 05:10 PM (PST) @ Hall C
Posterior sampling for reinforcement learning: worst-case regret bounds
In
Algorithms
Spotlight
Tue Dec 05 05:10 PM -- 05:15 PM (PST) @ Hall A
Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model
Spotlight
Tue Dec 05 05:10 PM -- 05:15 PM (PST) @ Hall C
Regret Analysis for Continuous Dueling Bandit
In
Algorithms
Spotlight
Tue Dec 05 05:15 PM -- 05:20 PM (PST) @ Hall A
Poincaré Embeddings for Learning Hierarchical Representations
Spotlight
Tue Dec 05 05:15 PM -- 05:20 PM (PST) @ Hall C
Minimal Exploration in Structured Stochastic Bandits
In
Algorithms
Spotlight
Tue Dec 05 05:20 PM -- 05:25 PM (PST) @ Hall A
Deep Hyperspherical Learning
Spotlight
Tue Dec 05 05:20 PM -- 05:25 PM (PST) @ Hall C
Fast Rates for Bandit Optimization with Upper-Confidence Frank-Wolfe
In
Algorithms
Spotlight
Tue Dec 05 05:25 PM -- 05:30 PM (PST) @ Hall A
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
Spotlight
Tue Dec 05 05:25 PM -- 05:30 PM (PST) @ Hall C
Diving into the shallows: a computational perspective on large-scale shallow learning
In
Algorithms
Spotlight
Tue Dec 05 05:30 PM -- 05:35 PM (PST) @ Hall A
One-Sided Unsupervised Domain Mapping
Spotlight
Tue Dec 05 05:30 PM -- 05:35 PM (PST) @ Hall C
Monte-Carlo Tree Search by Best Arm Identification
In
Algorithms
Spotlight
Tue Dec 05 05:35 PM -- 05:40 PM (PST) @ Hall A
Deep Mean-Shift Priors for Image Restoration
Spotlight
Tue Dec 05 05:35 PM -- 05:40 PM (PST) @ Hall C
A framework for Multi-A(rmed)/B(andit) Testing with Online FDR Control
In
Algorithms
Spotlight
Tue Dec 05 05:40 PM -- 05:45 PM (PST) @ Hall A
Deep Voice 2: Multi-Speaker Neural Text-to-Speech
Spotlight
Tue Dec 05 05:40 PM -- 05:45 PM (PST) @ Hall C
Parameter-Free Online Learning via Model Selection
In
Algorithms
Spotlight
Tue Dec 05 05:45 PM -- 05:50 PM (PST) @ Hall A
Graph Matching via Multiplicative Update Algorithm
Spotlight
Tue Dec 05 05:45 PM -- 05:50 PM (PST) @ Hall C
Bregman Divergence for Stochastic Variance Reduction: Saddle-Point and Adversarial Prediction
In
Algorithms
Spotlight
Tue Dec 05 05:50 PM -- 05:55 PM (PST) @ Hall A
Dynamic Routing Between Capsules
Spotlight
Tue Dec 05 05:50 PM -- 05:55 PM (PST) @ Hall C
Gaussian Quadrature for Kernel Features
In
Algorithms
Spotlight
Tue Dec 05 05:55 PM -- 06:00 PM (PST) @ Hall A
Modulating early visual processing by language
Spotlight
Tue Dec 05 05:55 PM -- 06:00 PM (PST) @ Hall C
Online Learning of Linear Dynamical Systems
In
Algorithms
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #1
Optimistic posterior sampling for reinforcement learning: worst-case regret bounds
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #2
A framework for Multi-A(rmed)/B(andit) Testing with Online FDR Control
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #3
Monte-Carlo Tree Search by Best Arm Identification
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #4
Minimal Exploration in Structured Stochastic Bandits
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #5
Regret Analysis for Continuous Dueling Bandit
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #6
Elementary Symmetric Polynomials for Optimal Experimental Design
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #7
Learning Linear Dynamical Systems via Spectral Filtering
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #8
Efficient and Flexible Inference for Stochastic Systems
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #9
Group Sparse Additive Machine
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #10
Bregman Divergence for Stochastic Variance Reduction: Saddle-Point and Adversarial Prediction
In
Posters Tue
[
Paper]
[
Video Presentation]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #11
Online multiclass boosting
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #12
Universal consistency and minimax rates for online Mondrian Forests
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #13
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #14
Learning from Complementary Labels
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #15
Positive-Unlabeled Learning with Non-Negative Risk Estimator
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #16
Semisupervised Clustering, AND-Queries and Locally Encodable Source Coding
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #17
A Learning Error Analysis for Structured Prediction with Approximate Inference
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #18
On Optimal Generalizability in Parametric Learning
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #19
Multi-Objective Non-parametric Sequential Prediction
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #20
Fixed-Rank Approximation of a Positive-Semidefinite Matrix from Streaming Data
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #21
QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #22
Machine Learning with Adversaries: Byzantine Tolerant Gradient Descent
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #23
Ranking Data with Continuous Labels through Oriented Recursive Partitions
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #24
Practical Data-Dependent Metric Compression with Provable Guarantees
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #25
Simple strategies for recovering inner products from coarsely quantized random projections
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #26
Clustering Stable Instances of Euclidean k-means.
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #27
Affinity Clustering: Hierarchical Clustering at Scale
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #28
Sparse Embedded $k$-Means Clustering
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #29
K-Medoids For K-Means Seeding
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #30
Approximation Bounds for Hierarchical Clustering: Average Linkage, Bisecting K-means, and Local Search
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #31
Inhomogeneous Hypergraph Clustering with Applications
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #32
Subspace Clustering via Tangent Cones
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #33
Tensor Biclustering
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #34
A Unified Approach to Interpreting Model Predictions
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #35
Efficient Sublinear-Regret Algorithms for Online Sparse Linear Regression with Limited Observation
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #36
Unbiased estimates for linear regression via volume sampling
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #37
On Separability of Loss Functions, and Revisiting Discriminative Vs Generative Models
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #38
Generalized Linear Model Regression under Distance-to-set Penalties
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #39
Group Additive Structure Identification for Kernel Nonparametric Regression
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #40
Learning Overcomplete HMMs
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #41
Matrix Norm Estimation from a Few Entries
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #42
Optimal Shrinkage of Singular Values Under Random Data Contamination
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #43
A New Theory for Matrix Completion
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #44
Learning Low-Dimensional Metrics
In
Posters Tue
[
Paper]
[
Video Presentation]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #45
Alternating minimization for dictionary learning with random initialization
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #46
Consistent Robust Regression
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #47
Partial Hard Thresholding: Towards A Principled Analysis of Support Recovery
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #48
Minimax Estimation of Bandable Precision Matrices
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #49
Diffusion Approximations for Online Principal Component Estimation and Global Convergence
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #50
Estimation of the covariance structure of heavy-tailed distributions
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #51
Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #52
Stochastic Approximation for Canonical Correlation Analysis
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #53
Diving into the shallows: a computational perspective on large-scale shallow learning
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #54
The Unreasonable Effectiveness of Structured Random Orthogonal Embeddings
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #55
Generalization Properties of Learning with Random Features
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #56
Gaussian Quadrature for Kernel Features
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #57
A Linear-Time Kernel Goodness-of-Fit Test
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #58
Convergence rates of a partition based Bayesian multivariate density estimation method
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #59
The power of absolute discounting: all-dimensional distribution estimation
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #60
Learning Populations of Parameters
In
Posters Tue
[
Paper]
[
Video Presentation]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #61
Communication-Efficient Distributed Learning of Discrete Distributions
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #62
Improved Dynamic Regret for Non-degenerate Functions
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #63
Parameter-Free Online Learning via Model Selection
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #64
Fast Rates for Bandit Optimization with Upper-Confidence Frank-Wolfe
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #65
Online Learning with Transductive Regret
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #66
Multi-Armed Bandits with Metric Movement Costs
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #67
Differentially Private Empirical Risk Minimization Revisited: Faster and More General
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #68
Certified Defenses for Data Poisoning Attacks
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #69
Sparse Approximate Conic Hulls
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #70
On Tensor Train Rank Minimization : Statistical Efficiency and Scalable Algorithm
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #71
Sparse convolutional coding for neuronal assembly detection
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #72
Estimating High-dimensional Non-Gaussian Multiple Index Models via Stein’s Lemma
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #73
Solid Harmonic Wavelet Scattering: Predicting Quantum Molecular Energy from Invariant Descriptors of 3D Electronic Densities
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #74
Clustering Billions of Reads for DNA Data Storage
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #75
Deep Recurrent Neural Network-Based Identification of Precursor microRNAs
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #76
Decoding with Value Networks for Neural Machine Translation
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #77
Learned in Translation: Contextualized Word Vectors
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #78
Deep Voice 2: Multi-Speaker Neural Text-to-Speech
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #79
Modulating early visual processing by language
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #80
Multimodal Learning and Reasoning for Visual Question Answering
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #81
Learning to Model the Tail
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #82
Interpretable and Globally Optimal Prediction for Textual Grounding using Image Concepts
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #83
Multiscale Quantization for Fast Similarity Search
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #84
MaskRNN: Instance Level Video Object Segmentation
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #85
Learning Spherical Convolution for Fast Features from 360° Imagery
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #86
Deep Mean-Shift Priors for Image Restoration
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #87
Pixels to Graphs by Associative Embedding
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #88
MarrNet: 3D Shape Reconstruction via 2.5D Sketches
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #89
Temporal Coherency based Criteria for Predicting Video Frames using Deep Multi-stage Generative Adversarial Networks
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #90
Self-Supervised Intrinsic Image Decomposition
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #91
Unsupervised learning of object frames by dense equivariant image labelling
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #92
One-Sided Unsupervised Domain Mapping
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #93
Contrastive Learning for Image Captioning
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #94
Dynamic Routing Between Capsules
In
Posters Tue
[
Paper]
[
Video Presentation]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #95
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #96
Efficient Optimization for Linear Dynamical Systems with Applications to Clustering and Sparse Coding
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #97
Label Distribution Learning Forests
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #98
Graph Matching via Multiplicative Update Algorithm
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #99
Training Quantized Nets: A Deeper Understanding
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #100
An inner-loop free solution to inverse problems using deep neural networks
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #101
Towards Accurate Binary Convolutional Neural Network
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #102
Runtime Neural Pruning
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #103
Structured Embedding Models for Grouped Data
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #104
Poincaré Embeddings for Learning Hierarchical Representations
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #105
Language Modeling with Recurrent Highway Hypernetworks
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #106
Preventing Gradient Explosions in Gated Recurrent Units
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #107
Wider and Deeper, Cheaper and Faster: Tensorized LSTMs for Sequence Learning
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #108
Fast-Slow Recurrent Neural Networks
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #109
Cold-Start Reinforcement Learning with Softmax Policy Gradient
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #110
Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #111
Recurrent Ladder Networks
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #112
Predictive-State Decoders: Encoding the Future into Recurrent Networks
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #113
QMDP-Net: Deep Learning for Planning under Partial Observability
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #114
Filtering Variational Objectives
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #115
Unsupervised Learning of Disentangled and Interpretable Representations from Sequential Data
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #116
Neural Discrete Representation Learning
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #117
Variational Memory Addressing in Generative Models
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #118
Cortical microcircuits as gated-recurrent neural networks
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #119
Continual Learning with Deep Generative Replay
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #120
Hierarchical Attentive Recurrent Tracking
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #121
VAE Learning via Stein Variational Gradient Descent
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #122
Learning to Inpaint for Image Compression
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #123
Visual Interaction Networks: Learning a Physics Simulator from Video
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #124
NeuralFDR: Learning Discovery Thresholds from Hypothesis Features
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #125
Eigen-Distortions of Hierarchical Representations
In
Posters Tue
[
Paper]
[
Video Presentation]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #126
On-the-fly Operation Batching in Dynamic Computation Graphs
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #127
Learning Affinity via Spatial Propagation Networks
In
Posters Tue
[
Paper]
[
Video Presentation]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #128
Few-Shot Adversarial Domain Adaptation
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #129
Deep Hyperspherical Learning
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #130
Riemannian approach to batch normalization
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #131
Training Deep Networks without Learning Rates Through Coin Betting
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #132
Convergent Block Coordinate Descent for Training Tikhonov Regularized Deep Neural Networks
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #133
Collaborative Deep Learning in Fixed Topology Networks
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #134
How regularization affects the critical points in linear networks
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #135
Predicting Organic Reaction Outcomes with Weisfeiler-Lehman Network
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #136
Predicting Scene Parsing and Motion Dynamics in the Future
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #137
Houdini: Fooling Deep Structured Visual and Speech Recognition Models with Adversarial Examples
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #138
Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #139
Compression-aware Training of Deep Networks
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #140
Non-parametric Structured Output Networks
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #141
GibbsNet: Iterative Adversarial Inference for Deep Graphical Models
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #142
Exploring Generalization in Deep Learning
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #143
Regularizing Deep Neural Networks by Noise: Its Interpretation and Optimization
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #144
Extracting low-dimensional dynamics from multiple large-scale neural population recordings by learning to predict correlations
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #145
Adaptive stimulus selection for optimizing neural population responses
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #146
OnACID: Online Analysis of Calcium Imaging Data in Real Time
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #147
Detrended Partial Cross Correlation for Brain Connectivity Analysis
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #148
Practical Bayesian Optimization for Model Fitting with Bayesian Adaptive Direct Search
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #149
An Error Detection and Correction Framework for Connectomics
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #150
GP CaKe: Effective brain connectivity with causal kernels
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #151
Learning Neural Representations of Human Cognition across Many fMRI Studies
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #152
Mapping distinct timescales of functional interactions among brain networks
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #153
Robust Estimation of Neural Signals in Calcium Imaging
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #154
Learning the Morphology of Brain Signals Using Alpha-Stable Convolutional Sparse Coding
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #155
Streaming Weak Submodularity: Interpreting Neural Networks on the Fly
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #156
Decomposable Submodular Function Minimization: Discrete and Continuous
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #157
Differentiable Learning of Submodular Functions
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #158
Robust Optimization for Non-Convex Objectives
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #159
On the Optimization Landscape of Tensor Decompositions
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #160
Gradient Descent Can Take Exponential Time to Escape Saddle Points
In
Posters Tue
[
Paper]
[
Video Presentation]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #161
Convolutional Phase Retrieval
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #162
Implicit Regularization in Matrix Factorization
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #163
Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #164
On Frank-Wolfe and Equilibrium Computation
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #165
Greedy Algorithms for Cone Constrained Optimization with Convergence Guarantees
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #166
When Cyclic Coordinate Descent Outperforms Randomized Coordinate Descent
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #167
Linear Convergence of a Frank-Wolfe Type Algorithm over Trace-Norm Balls
In
Posters Tue
[
Paper]
[
Video Presentation]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #168
Adaptive Accelerated Gradient Converging Method under H\"{o}lderian Error Bound Condition
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #169
Adaptive SVRG Methods under Error Bound Conditions with Unknown Growth Parameter
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #170
Geometric Descent Method for Convex Composite Minimization
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #171
Faster and Non-ergodic O(1/K) Stochastic Alternating Direction Method of Multipliers
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #172
Doubly Accelerated Stochastic Variance Reduced Dual Averaging Method for Regularized Empirical Risk Minimization
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #173
Limitations on Variance-Reduction and Acceleration Schemes for Finite Sums Optimization
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #174
Nonlinear Acceleration of Stochastic Algorithms
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #175
Acceleration and Averaging in Stochastic Descent Dynamics
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #176
Multiscale Semi-Markov Dynamics for Intracortical Brain-Computer Interfaces
In
Posters Tue
[
Paper]
[
Video Presentation]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #177
EEG-GRAPH: A Factor-Graph-Based Model for Capturing Spatial, Temporal, and Observational Relationships in Electroencephalograms
In
Posters Tue
[
Paper]
[
Video Presentation]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #178
Asynchronous Parallel Coordinate Minimization for MAP Inference
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #179
Speeding Up Latent Variable Gaussian Graphical Model Estimation via Nonconvex Optimization
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #180
The Expxorcist: Nonparametric Graphical Models Via Conditional Exponential Densities
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #181
Reducing Reparameterization Gradient Variance
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #182
Robust Conditional Probabilities
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #183
Stein Variational Gradient Descent as Gradient Flow
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #184
Parallel Streaming Wasserstein Barycenters
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #185
AIDE: An algorithm for measuring the accuracy of probabilistic inference algorithms
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #186
Deep Dynamic Poisson Factorization Model
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #187
On the Model Shrinkage Effect of Gamma Process Edge Partition Models
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #188
Model evidence from nonequilibrium simulations
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #189
A-NICE-MC: Adversarial Training for MCMC
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #190
Identification of Gaussian Process State Space Models
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #191
Streaming Sparse Gaussian Process Approximations
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #192
Bayesian Optimization with Gradients
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #193
Variational Inference for Gaussian Process Models with Linear Complexity
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #194
Efficient Modeling of Latent Information in Supervised Learning using Gaussian Processes
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #195
Non-Stationary Spectral Kernels
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #196
Scalable Log Determinants for Gaussian Process Kernel Learning
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #197
Spectral Mixture Kernels for Multi-Output Gaussian Processes
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #198
Linearly constrained Gaussian processes
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #199
Hindsight Experience Replay
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #200
Log-normality and Skewness of Estimated State/Action Values in Reinforcement Learning
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #201
Finite sample analysis of the GTD Policy Evaluation Algorithms in Markov Setting
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #202
Inverse Filtering for Hidden Markov Models
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #203
Safe Model-based Reinforcement Learning with Stability Guarantees
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #204
Data-Efficient Reinforcement Learning in Continuous State-Action Gaussian-POMDPs
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #205
Linear regression without correspondence
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #206
On the Complexity of Learning Neural Networks
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #207
Near Optimal Sketching of Low-Rank Tensor Regression
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #208
Is Input Sparsity Time Possible for Kernel Low-Rank Approximation?
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #209
Higher-Order Total Variation Classes on Grids: Minimax Theory and Trend Filtering Methods
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #210
Alternating Estimation for Structured High-Dimensional Multi-Response Models
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #211
Adaptive Clustering through Semidefinite Programming
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #212
Eigenvalue Decay Implies Polynomial-Time Learnability for Neural Networks
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #213
Learning with Average Top-k Loss
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #214
Hierarchical Clustering Beyond the Worst-Case
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #215
Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #216
A graph-theoretic approach to multitasking
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #217
Information-theoretic analysis of generalization capability of learning algorithms
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #218
Independence clustering (without a matrix)
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #219
Polynomial Codes: an Optimal Design for High-Dimensional Coded Matrix Multiplication
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #220
Estimating Mutual Information for Discrete-Continuous Mixtures
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #221
Best Response Regression
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #222
Statistical Cost Sharing
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #223
A Sample Complexity Measure with Applications to Learning Optimal Auctions
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #224
Multiplicative Weights Update with Constant Step-Size in Congestion Games: Convergence, Limit Cycles and Chaos
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #225
Welfare Guarantees from Data
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #226
Safe and Nested Subgame Solving for Imperfect-Information Games
In
Posters Tue
[
Paper]
[
Video Presentation]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #227
Multi-output Polynomial Networks and Factorization Machines
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #228
Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples
In
Posters Tue
Demonstration
Tue Dec 05 07:00 PM -- 10:30 PM (PST) @ Pacific Ballroom Concourse # D1
A Deep Reinforcement Learning Chatbot
In
Demos Tues
Demonstration
Tue Dec 05 07:00 PM -- 10:30 PM (PST) @ Pacific Ballroom Concourse #D2
CTRL-Labs: Non-invasive Neural Interface
In
Demos Tues
Demonstration
Tue Dec 05 07:00 PM -- 10:30 PM (PST) @ Pacific Ballroom Concourse #D3
TincyYolo: Smaller still, faster, and more efficient
In
Demos Tues
Demonstration
Tue Dec 05 07:00 PM -- 10:30 PM (PST) @ Pacific Ballroom Concourse, #D4
A cortical neural network simulator for kids
In
Demos Tues
Demonstration
Tue Dec 05 07:00 PM -- 10:30 PM (PST) @ Pacific Ballroom Concourse #D5
Libratus: Beating Top Humans in No-Limit Poker
In
Demos Tues
Demonstration
Tue Dec 05 07:00 PM -- 10:30 PM (PST) @ Pacific Ballroom Concourse #D6
Deep Robotic Learning using Visual Imagination and Meta-Learning
In
Demos Tues
Demonstration
Tue Dec 05 07:00 PM -- 10:30 PM (PST) @ Pacific Ballroom Concourse #D7
Conversational Speech Search on Massive Audio Datasets
In
Demos Tues
Demonstration
Tue Dec 05 07:00 PM -- 10:30 PM (PST) @ Pacific Ballroom Concourse #D8
Symbol Grounding and Program Induction using Multi-modal instructions, Visual Cues and Eye Tracking.
In
Demos Tues
Demonstration
Tue Dec 05 07:00 PM -- 10:30 PM (PST) @ Pacific Ballroom Concourse #D9
Sensomind: Democratizing deep learning for the food industry
In
Demos Tues
Demonstration
Tue Dec 05 07:00 PM -- 10:30 PM (PST) @ Pacific Ballroom Concourse #D10
Deep Neural Net implementations with FPGAs
In
Demos Tues
Break
Wed Dec 06 07:30 AM -- 09:00 AM (PST)
coffee, no breakfast served
Invited Talk
Wed Dec 06 09:00 AM -- 09:50 AM (PST) @ Hall A
The Unreasonable Effectiveness of Structure
[
Video]
Break
Wed Dec 06 09:50 AM -- 10:20 AM (PST)
Coffee Break
Oral
Wed Dec 06 10:20 AM -- 10:35 AM (PST) @ Hall A
On Structured Prediction Theory with Calibrated Convex Surrogate Losses
[
Session Video]
[
Spotlight Video]
Oral
Wed Dec 06 10:20 AM -- 10:35 AM (PST) @ Hall C
TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning
Oral
Wed Dec 06 10:35 AM -- 10:50 AM (PST) @ Hall A
REBAR: Low-variance, unbiased gradient estimates for discrete latent variable models
Oral
Wed Dec 06 10:35 AM -- 10:50 AM (PST) @ Hall C
Train longer, generalize better: closing the generalization gap in large batch training of neural networks
Oral
Wed Dec 06 10:50 AM -- 11:05 AM (PST) @ Hall A
Variance-based Regularization with Convex Objectives
Oral
Wed Dec 06 10:50 AM -- 11:05 AM (PST) @ Hall C
End-to-end Differentiable Proving
Oral
Wed Dec 06 11:05 AM -- 11:20 AM (PST) @ Hall A
Online control of the false discovery rate with decaying memory
Oral
Wed Dec 06 11:05 AM -- 11:20 AM (PST) @ Hall C
Gradient descent GAN optimization is locally stable
Spotlight
Wed Dec 06 11:20 AM -- 11:25 AM (PST) @ Hall A
Submultiplicative Glivenko-Cantelli and Uniform Convergence of Revenues
Spotlight
Wed Dec 06 11:20 AM -- 11:25 AM (PST) @ Hall C
f-GANs in an Information Geometric Nutshell
Spotlight
Wed Dec 06 11:25 AM -- 11:30 AM (PST) @ Hall A
Fast Black-box Variational Inference through Stochastic Trust-Region Optimization
Spotlight
Wed Dec 06 11:25 AM -- 11:30 AM (PST) @ Hall C
Unsupervised Image-to-Image Translation Networks
Spotlight
Wed Dec 06 11:30 AM -- 11:35 AM (PST) @ Hall A
A Universal Analysis of Large-Scale Regularized Least Squares Solutions
Spotlight
Wed Dec 06 11:30 AM -- 11:35 AM (PST) @ Hall C
The Numerics of GANs
Spotlight
Wed Dec 06 11:35 AM -- 11:40 AM (PST) @ Hall A
A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning
Spotlight
Wed Dec 06 11:35 AM -- 11:40 AM (PST) @ Hall C
Dual Discriminator Generative Adversarial Nets
Spotlight
Wed Dec 06 11:40 AM -- 11:45 AM (PST) @ Hall A
Accelerated Stochastic Greedy Coordinate Descent by Soft Thresholding Projection onto Simplex
Spotlight
Wed Dec 06 11:40 AM -- 11:45 AM (PST) @ Hall C
Bayesian GANs
Spotlight
Wed Dec 06 11:45 AM -- 11:50 AM (PST) @ Hall A
Early stopping for kernel boosting algorithms: A general analysis with localized complexities
Spotlight
Wed Dec 06 11:45 AM -- 11:50 AM (PST) @ Hall C
Approximation and Convergence Properties of Generative Adversarial Learning
Spotlight
Wed Dec 06 11:50 AM -- 11:55 AM (PST) @ Hall A
Spectrally-normalized margin bounds for neural networks
Spotlight
Wed Dec 06 11:50 AM -- 11:55 AM (PST) @ Hall C
Dualing GANs
Spotlight
Wed Dec 06 11:55 AM -- 12:00 PM (PST) @ Hall A
The Scaling Limit of High-Dimensional Online Independent Component Analysis
Spotlight
Wed Dec 06 11:55 AM -- 12:00 PM (PST) @ Hall C
Generalizing GANs: A Turing Perspective
Oral
Wed Dec 06 02:50 PM -- 03:05 PM (PST) @ Hall A
ELF: An Extensive, Lightweight and Flexible Research Platform for Real-time Strategy Games
Oral
Wed Dec 06 02:50 PM -- 03:05 PM (PST) @ Hall C
The Marginal Value of Adaptive Gradient Methods in Machine Learning
In
Optimization
Oral
Wed Dec 06 03:05 PM -- 03:20 PM (PST) @ Hall A
Imagination-Augmented Agents for Deep Reinforcement Learning
Oral
Wed Dec 06 03:05 PM -- 03:20 PM (PST) @ Hall C
Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent
In
Optimization
Spotlight
Wed Dec 06 03:20 PM -- 03:25 PM (PST) @ Hall A
Dual Path Networks
Spotlight
Wed Dec 06 03:20 PM -- 03:25 PM (PST) @ Hall C
Breaking the Nonsmooth Barrier: A Scalable Parallel Method for Composite Optimization
In
Optimization
Spotlight
Wed Dec 06 03:25 PM -- 03:30 PM (PST) @ Hall A
A simple neural network module for relational reasoning
Spotlight
Wed Dec 06 03:25 PM -- 03:30 PM (PST) @ Hall C
Stochastic Optimization with Variance Reduction for Infinite Datasets with Finite Sum Structure
In
Optimization
Spotlight
Wed Dec 06 03:30 PM -- 03:35 PM (PST) @ Hall A
Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation
Spotlight
Wed Dec 06 03:30 PM -- 03:35 PM (PST) @ Hall C
Process-constrained batch Bayesian optimisation
In
Optimization
Spotlight
Wed Dec 06 03:35 PM -- 03:40 PM (PST) @ Hall A
Attention is All you Need
Spotlight
Wed Dec 06 03:35 PM -- 03:40 PM (PST) @ Hall C
Safe Adaptive Importance Sampling
In
Optimization
Spotlight
Wed Dec 06 03:40 PM -- 03:45 PM (PST) @ Hall A
Learning Combinatorial Optimization Algorithms over Graphs
Spotlight
Wed Dec 06 03:40 PM -- 03:45 PM (PST) @ Hall C
Beyond Worst-case: A Probabilistic Analysis of Affine Policies in Dynamic Optimization
In
Optimization
Spotlight
Wed Dec 06 03:45 PM -- 03:50 PM (PST) @ Hall A
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Spotlight
Wed Dec 06 03:45 PM -- 03:50 PM (PST) @ Hall C
Straggler Mitigation in Distributed Optimization Through Data Encoding
In
Optimization
Break
Wed Dec 06 03:50 PM -- 04:20 PM (PST)
Coffee Break
Oral
Wed Dec 06 04:20 PM -- 04:35 PM (PST) @ Hall A
Off-policy evaluation for slate recommendation
Oral
Wed Dec 06 04:20 PM -- 04:35 PM (PST) @ Hall C
Reliable Decision Support using Counterfactual Models
Oral
Wed Dec 06 04:35 PM -- 04:50 PM (PST) @ Hall A
Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes
Oral
Wed Dec 06 04:35 PM -- 04:50 PM (PST) @ Hall C
Convolutional Gaussian Processes
Oral
Wed Dec 06 04:50 PM -- 05:05 PM (PST) @ Hall A
Inverse Reward Design
Oral
Wed Dec 06 04:50 PM -- 05:05 PM (PST) @ Hall C
Counterfactual Fairness
Spotlight
Wed Dec 06 05:05 PM -- 05:10 PM (PST) @ Hall A
Dynamic Safe Interruptibility for Decentralized Multi-Agent Reinforcement Learning
Spotlight
Wed Dec 06 05:05 PM -- 05:10 PM (PST) @ Hall C
An Empirical Bayes Approach to Optimizing Machine Learning Algorithms
Spotlight
Wed Dec 06 05:10 PM -- 05:15 PM (PST) @ Hall A
Unifying PAC and Regret: Uniform PAC Bounds for Episodic Reinforcement Learning
Spotlight
Wed Dec 06 05:10 PM -- 05:15 PM (PST) @ Hall C
PASS-GLM: polynomial approximate sufficient statistics for scalable Bayesian GLM inference
Spotlight
Wed Dec 06 05:15 PM -- 05:20 PM (PST) @ Hall A
Repeated Inverse Reinforcement Learning
Spotlight
Wed Dec 06 05:15 PM -- 05:20 PM (PST) @ Hall C
Multiresolution Kernel Approximation for Gaussian Process Regression
Spotlight
Wed Dec 06 05:20 PM -- 05:25 PM (PST) @ Hall A
Learning multiple visual domains with residual adapters
Spotlight
Wed Dec 06 05:20 PM -- 05:25 PM (PST) @ Hall C
Multi-Information Source Optimization
Spotlight
Wed Dec 06 05:25 PM -- 05:30 PM (PST) @ Hall A
Natural Value Approximators: Learning when to Trust Past Estimates
Spotlight
Wed Dec 06 05:25 PM -- 05:30 PM (PST) @ Hall C
Doubly Stochastic Variational Inference for Deep Gaussian Processes
Spotlight
Wed Dec 06 05:30 PM -- 05:35 PM (PST) @ Hall A
EX2: Exploration with Exemplar Models for Deep Reinforcement Learning
Spotlight
Wed Dec 06 05:30 PM -- 05:35 PM (PST) @ Hall C
Permutation-based Causal Inference Algorithms with Interventions
Spotlight
Wed Dec 06 05:35 PM -- 05:40 PM (PST) @ Hall A
Regret Minimization in MDPs with Options without Prior Knowledge
Spotlight
Wed Dec 06 05:35 PM -- 05:40 PM (PST) @ Hall C
Gradients of Generative Models for Improved Discriminative Analysis of Tandem Mass Spectra
Spotlight
Wed Dec 06 05:40 PM -- 05:45 PM (PST) @ Hall A
Successor Features for Transfer in Reinforcement Learning
Spotlight
Wed Dec 06 05:40 PM -- 05:45 PM (PST) @ Hall C
Style Transfer from Non-parallel Text by Cross-Alignment
Spotlight
Wed Dec 06 05:45 PM -- 05:50 PM (PST) @ Hall A
Overcoming Catastrophic Forgetting by Incremental Moment Matching
Spotlight
Wed Dec 06 05:45 PM -- 05:50 PM (PST) @ Hall C
Premise Selection for Theorem Proving by Deep Graph Embedding
Spotlight
Wed Dec 06 05:50 PM -- 05:55 PM (PST) @ Hall A
Fair Clustering Through Fairlets
Spotlight
Wed Dec 06 05:50 PM -- 05:55 PM (PST) @ Hall C
Deep Multi-task Gaussian Processes for Survival Analysis with Competing Risks
Spotlight
Wed Dec 06 05:55 PM -- 06:00 PM (PST) @ Hall A
Fitting Low-Rank Tensors in Constant Time
Spotlight
Wed Dec 06 05:55 PM -- 06:00 PM (PST) @ Hall C
Unsupervised Learning of Disentangled Representations from Video
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #1
Deep Reinforcement Learning from Human Preferences
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #2
Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #3
EX2: Exploration with Exemplar Models for Deep Reinforcement Learning
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #4
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #5
Thinking Fast and Slow with Deep Learning and Tree Search
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #6
Natural Value Approximators: Learning when to Trust Past Estimates
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #7
Active Exploration for Learning Symbolic Representations
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #8
State Aware Imitation Learning
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #9
Successor Features for Transfer in Reinforcement Learning
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #10
Bridging the Gap Between Value and Policy Based Reinforcement Learning
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #11
Using Options and Covariance Testing for Long Horizon Off-Policy Policy Evaluation
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #12
Compatible Reward Inverse Reinforcement Learning
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #13
Adaptive Batch Size for Safe Policy Gradients
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #14
Regret Minimization in MDPs with Options without Prior Knowledge
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #15
Is the Bellman residual a bad proxy?
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #16
Learning Unknown Markov Decision Processes: A Thompson Sampling Approach
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #17
Online Reinforcement Learning in Stochastic Games
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #18
Reinforcement Learning under Model Mismatch
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #19
Zap Q-Learning
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #20
Ensemble Sampling
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #21
Action Centered Contextual Bandits
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #22
Conservative Contextual Linear Bandits
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #24
Identifying Outlier Arms in Multi-Armed Bandit
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #25
Multi-Task Learning for Contextual Bandits
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #26
Boltzmann Exploration Done Right
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #27
Improving the Expected Improvement Algorithm
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #28
A KL-LUCB algorithm for Large-Scale Crowdsourcing
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #29
Scalable Generalized Linear Bandits: Online Computation and Hashing
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #30
Bandits Dueling on Partially Ordered Sets
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #31
Position-based Multiple-play Bandit Problem with Unknown Position Bias
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #32
Online Influence Maximization under Independent Cascade Model with Semi-Bandit Feedback
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #33
A Scale Free Algorithm for Stochastic Bandits with Bounded Kurtosis
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #34
Adaptive Active Hypothesis Testing under Limited Information
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #35
Near-Optimal Edge Evaluation in Explicit Generalized Binomial Graphs
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #36
Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #37
Overcoming Catastrophic Forgetting by Incremental Moment Matching
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #38
Hypothesis Transfer Learning via Transformation Functions
In
Posters Wed
[
Paper]
[
Video Presentation]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #39
Learning multiple visual domains with residual adapters
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #40
Self-supervised Learning of Motion Capture
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #41
Information Theoretic Properties of Markov Random Fields, and their Algorithmic Applications
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #42
Maximizing Subset Accuracy with Recurrent Neural Networks in Multi-label Classification
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #43
Local Aggregative Games
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #44
An Empirical Bayes Approach to Optimizing Machine Learning Algorithms
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #45
Learning Chordal Markov Networks via Branch and Bound
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #46
Optimal Sample Complexity of M-wise Data for Top-K Ranking
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #47
Translation Synchronization via Truncated Least Squares
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #48
From Bayesian Sparsity to Gated Recurrent Nets
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #49
Online Learning for Multivariate Hawkes Processes
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #50
Efficient Second-Order Online Kernel Learning with Adaptive Embedding
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #51
Online to Offline Conversions, Universality and Adaptive Minibatch Sizes
In
Posters Wed
[
Paper]
[
Video Presentation]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #52
Nonparametric Online Regression while Learning the Metric
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #53
Stochastic and Adversarial Online Learning without Hyperparameters
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #54
Affine-Invariant Online Optimization and the Low-rank Experts Problem
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #55
Online Convex Optimization with Stochastic Constraints
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #56
Online Learning with a Hint
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #57
Efficient Online Linear Optimization with Approximation Algorithms
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #58
Random Permutation Online Isotonic Regression
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #59
Near Minimax Optimal Players for the Finite-Time 3-Expert Prediction Problem
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #60
Online Learning of Optimal Bidding Strategy in Repeated Multi-Commodity Auctions
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #61
Online Prediction with Selfish Experts
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #62
Real-Time Bidding with Side Information
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #63
Improving Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms and Its Applications
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #64
A General Framework for Robust Interactive Learning
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #65
Practical Locally Private Heavy Hitters
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #66
Deanonymization in the Bitcoin P2P Network
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #67
Accuracy First: Selecting a Differential Privacy Level for Accuracy Constrained ERM
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #68
Renyi Differential Privacy Mechanisms for Posterior Sampling
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #69
Collecting Telemetry Data Privately
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #70
Generating steganographic images via adversarial training
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #71
Fitting Low-Rank Tensors in Constant Time
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #72
Thy Friend is My Friend: Iterative Collaborative Filtering for Sparse Matrix Estimation
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #73
Fair Clustering Through Fairlets
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #74
On Fairness and Calibration
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #75
Avoiding Discrimination through Causal Reasoning
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #76
Optimized Pre-Processing for Discrimination Prevention
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #77
Recycling Privileged Learning and Distribution Matching for Fairness
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #78
From Parity to Preference-based Notions of Fairness in Classification
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #79
Beyond Parity: Fairness Objectives for Collaborative Filtering
In
Posters Wed
[
Paper]
[
Video Presentation]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #80
Multi-view Matrix Factorization for Linear Dynamical System Estimation
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #81
Random Projection Filter Bank for Time Series Data
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #82
A Dirichlet Mixture Model of Hawkes Processes for Event Sequence Clustering
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #83
Predicting User Activity Level In Point Processes With Mass Transport Equation
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #84
Off-policy evaluation for slate recommendation
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #85
Expectation Propagation with Stochastic Kinetic Model in Complex Interaction Systems
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #86
A multi-agent reinforcement learning model of common-pool resource appropriation
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #87
Balancing information exposure in social networks
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #88
Scalable Demand-Aware Recommendation
In
Posters Wed
[
Paper]
[
Video Presentation]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #89
A Greedy Approach for Budgeted Maximum Inner Product Search
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #90
DPSCREEN: Dynamic Personalized Screening
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #91
Deep Multi-task Gaussian Processes for Survival Analysis with Competing Risks
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #92
Premise Selection for Theorem Proving by Deep Graph Embedding
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #93
Gradients of Generative Models for Improved Discriminative Analysis of Tandem Mass Spectra
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #94
Style Transfer from Non-Parallel Text by Cross-Alignment
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #95
Emergence of Language with Multi-agent Games: Learning to Communicate with Sequences of Symbols
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #96
ELF: An Extensive, Lightweight and Flexible Research Platform for Real-time Strategy Games
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #97
ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #98
Approximation and Convergence Properties of Generative Adversarial Learning
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #99
Gradient descent GAN optimization is locally stable
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #100
f-GANs in an Information Geometric Nutshell
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #101
The Numerics of GANs
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #102
Generalizing GANs: A Turing Perspective
In
Posters Wed
[
Paper]
[
Video Presentation]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #103
Dualing GANs
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #105
Learning to Pivot with Adversarial Networks
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #106
Improved Training of Wasserstein GANs
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #107
MMD GAN: Towards Deeper Understanding of Moment Matching Network
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #108
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #109
VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #110
Semi-supervised Learning with GANs: Manifold Invariance with Improved Inference
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #111
Good Semi-supervised Learning That Requires a Bad GAN
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #113
Dual Discriminator Generative Adversarial Nets
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #114
ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #115
Triple Generative Adversarial Nets
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #116
Triangle Generative Adversarial Networks
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #117
Structured Generative Adversarial Networks
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #118
PixelGAN Autoencoders
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #119
Learning to Compose Domain-Specific Transformations for Data Augmentation
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #120
Unsupervised Image-to-Image Translation Networks
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #121
Controllable Invariance through Adversarial Feature Learning
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #122
Adversarial Ranking for Language Generation
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #123
Linear Time Computation of Moments in Sum-Product Networks
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #124
Attention is All you Need
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #125
Masked Autoregressive Flow for Density Estimation
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #126
Variational Walkback: Learning a Transition Operator as a Stochastic Recurrent Net
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #127
TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #128
End-to-End Differentiable Proving
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #129
A simple neural network module for relational reasoning
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #130
Dual Path Networks
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #131
Spherical convolutions and their application in molecular modelling
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #132
Deep Sets
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #133
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #134
Self-Normalizing Neural Networks
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #135
Batch Renormalization: Towards Reducing Minibatch Dependence in Batch-Normalized Models
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #136
Train longer, generalize better: closing the generalization gap in large batch training of neural networks
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #137
Nonlinear random matrix theory for deep learning
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #138
Distral: Robust multitask reinforcement learning
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #139
Imagination-Augmented Agents for Deep Reinforcement Learning
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #140
Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #141
Learning Combinatorial Optimization Algorithms over Graphs
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #142
Targeting EEG/LFP Synchrony with Neural Nets
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #143
Toward Goal-Driven Neural Network Models for the Rodent Whisker-Trigeminal System
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #144
Fast amortized inference of neural activity from calcium imaging data with variational autoencoders
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #145
Learning to See Physics via Visual De-animation
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #146
Shape and Material from Sound
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #147
Neural Networks for Efficient Bayesian Decoding of Natural Images from Retinal Neurons
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #148
Quantifying how much sensory information in a neural code is relevant for behavior
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #149
Model-based Bayesian inference of neural activity and connectivity from all-optical interrogation of a neural circuit
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #150
Deep Hyperalignment
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #151
Unified representation of tractography and diffusion-weighted MRI data using sparse multidimensional arrays
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #152
Online Dynamic Programming
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #153
Unsupervised Learning of Disentangled Representations from Video
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #154
Interactive Submodular Bandit
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #155
Streaming Robust Submodular Maximization: A Partitioned Thresholding Approach
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #156
Minimizing a Submodular Function from Samples
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #157
Process-constrained batch Bayesian optimisation
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #158
The Marginal Value of Adaptive Gradient Methods in Machine Learning
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #159
Breaking the Nonsmooth Barrier: A Scalable Parallel Method for Composite Optimization
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #160
Beyond Worst-case: A Probabilistic Analysis of Affine Policies in Dynamic Optimization
In
Posters Wed
[
Paper]
[
Video Presentation]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #161
Approximate Supermodularity Bounds for Experimental Design
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #162
On Blackbox Backpropagation and Jacobian Sensing
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #163
Asynchronous Coordinate Descent under More Realistic Assumptions
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #164
Clustering with Noisy Queries
In
Posters Wed
[
Paper]
[
Video Presentation]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #165
Approximation Algorithms for $\ell_0$-Low Rank Approximation
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #166
Convergence Analysis of Two-layer Neural Networks with ReLU Activation
In
Posters Wed
[
Paper]
[
Video Presentation]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #167
Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #168
Decomposition-Invariant Conditional Gradient for General Polytopes with Line Search
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #169
Straggler Mitigation in Distributed Optimization Through Data Encoding
In
Posters Wed
[
Paper]
[
Video Presentation]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #170
ADMM without a Fixed Penalty Parameter: Faster Convergence with New Adaptive Penalization
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #171
Accelerated Stochastic Greedy Coordinate Descent by Soft Thresholding Projection onto Simplex
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #172
Safe Adaptive Importance Sampling
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #173
Sharpness, Restart and Acceleration
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #174
Stochastic Optimization with Variance Reduction for Infinite Datasets with Finite Sum Structure
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #175
Min-Max Propagation
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #176
A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #177
Concrete Dropout
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #178
REBAR: Low-variance, unbiased gradient estimates for discrete latent variable models
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #179
Hierarchical Implicit Models and Likelihood-Free Variational Inference
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #180
Sticking the Landing: Simple, Lower-Variance Gradient Estimators for Variational Inference
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #181
Perturbative Black Box Variational Inference
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #182
Fast Black-box Variational Inference through Stochastic Trust-Region Optimization
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #183
Excess Risk Bounds for the Bayes Risk using Variational Inference in Latent Gaussian Models
In
Posters Wed
[
Paper]
[
Video Presentation]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #184
Experimental Design for Learning Causal Graphs with Latent Variables
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #185
Permutation-based Causal Inference Algorithms with Interventions
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #186
Learning Causal Structures Using Regression Invariance
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #187
Counterfactual Fairness
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #188
Causal Effect Inference with Deep Latent-Variable Models
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #189
Conic Scan-and-Cover algorithms for nonparametric topic modeling
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #190
Tractability in Structured Probability Spaces
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #191
PASS-GLM: polynomial approximate sufficient statistics for scalable Bayesian GLM inference
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #192
Adaptive Bayesian Sampling with Monte Carlo EM
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #193
Reliable Decision Support using Counterfactual Models
In
Posters Wed
[
Paper]
[
Video Presentation]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #194
Multi-Information Source Optimization
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #195
Doubly Stochastic Variational Inference for Deep Gaussian Processes
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #196
Convolutional Gaussian Processes
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #197
Multiresolution Kernel Approximation for Gaussian Process Regression
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #198
Unifying PAC and Regret: Uniform PAC Bounds for Episodic Reinforcement Learning
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #199
Repeated Inverse Reinforcement Learning
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #200
Inverse Reward Design
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #201
Dynamic-Depth Context Tree Weighting
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #202
Policy Gradient With Value Function Approximation For Collective Multiagent Planning
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #203
A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #204
Dynamic Safe Interruptibility for Decentralized Multi-Agent Reinforcement Learning
In
Posters Wed
[
Paper]
[
Video Presentation]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #205
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #206
Spectrally-normalized margin bounds for neural networks
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #207
On Structured Prediction Theory with Calibrated Convex Surrogate Losses
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #208
Collaborative PAC Learning
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #209
Submultiplicative Glivenko-Cantelli and Uniform Convergence of Revenues
In
Posters Wed
[
Paper]
[
Video Presentation]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #210
Discriminative State Space Models
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #211
Countering Feedback Delays in Multi-Agent Learning
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #212
Variance-based Regularization with Convex Objectives
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #213
Learning Mixture of Gaussians with Streaming Data
In
Posters Wed
[
Paper]
[
Video Presentation]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #214
On the Consistency of Quick Shift
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #215
Early stopping for kernel boosting algorithms: A general analysis with localized complexities
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #216
A Sharp Error Analysis for the Fused Lasso, with Application to Approximate Changepoint Screening
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #217
The Scaling Limit of High-Dimensional Online Independent Component Analysis
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #218
A Universal Analysis of Large-Scale Regularized Least Squares Solutions
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #219
Convergence of Gradient EM on Multi-component Mixture of Gaussians
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #220
Online control of the false discovery rate with decaying memory
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #221
Learning with Bandit Feedback in Potential Games
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #222
Fully Decentralized Policies for Multi-Agent Systems: An Information Theoretic Approach
In
Posters Wed
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #223
Revenue Optimization with Approximate Bid Predictions
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #224
A Decomposition of Forecast Error in Prediction Markets
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #225
Dynamic Revenue Sharing
In
Posters Wed
[
Paper]
Poster
Wed Dec 06 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #226
Multi-View Decision Processes: The Helper-AI Problem
In
Posters Wed
Demonstration
Wed Dec 06 07:00 PM -- 10:30 PM (PST) @ Pacific Ballroom Concourse #D1
Humans attributes extraction and search with a deep learning based real-time video analysis system
In
Demos Wed
Demonstration
Wed Dec 06 07:00 PM -- 10:30 PM (PST) @ Pacific Ballroom Concourse #D2
MAgent: A Many-Agent Reinforcement Learning Research Platform for Artificial Collective Intelligence
In
Demos Wed
Demonstration
Wed Dec 06 07:00 PM -- 10:30 PM (PST) @ Pacific Ballroom Concourse #D3
Electronic Screen Protector with Efficient and Robust Mobile Vision
In
Demos Wed
Demonstration
Wed Dec 06 07:00 PM -- 10:30 PM (PST) @ Pacific Ballroom Concourse #D4
3D Surface-to-Structure Translation with Deep Convolutional Networks
In
Demos Wed
Demonstration
Wed Dec 06 07:00 PM -- 10:30 PM (PST) @ Area 5+6+7+8
Sharkzor: Interactive Deep Learning for Image Triage, Sort and Summary
In
Demos Wed
Demonstration
Wed Dec 06 07:00 PM -- 10:30 PM (PST) @ Pacific Ballroom Concourse #D6
Magenta and deeplearn.js: Real-time Control of DeepGenerative Music Models in the Browser
In
Demos Wed
Demonstration
Wed Dec 06 07:00 PM -- 10:30 PM (PST) @ Pacific Ballroom Concourse #D7
Matrix Calculus -- The Power of Symbolic Differentiation
In
Demos Wed
Demonstration
Wed Dec 06 07:00 PM -- 10:30 PM (PST) @ Pacific Ballroom Concourse #D8
Babble Labble: Learning from Natural Language Explanations
In
Demos Wed
Demonstration
Wed Dec 06 07:00 PM -- 10:30 PM (PST) @ Pacific Ballroom Concourse #D9
Interactive-Length Multi-Task Video Captioning with Cooperative Feedback
In
Demos Wed
Demonstration
Wed Dec 06 07:00 PM -- 10:30 PM (PST) @ Pacific Ballroom Concourse #D10
Fast-speed Intelligent Video Analytics using Deep Learning Algorithms on Low-power FPGA
In
Demos Wed
Break
Thu Dec 07 07:30 AM -- 09:00 AM (PST)
coffee, no breakfast served
Invited Talk (Breiman Lecture)
Thu Dec 07 09:50 AM -- 10:40 AM (PST) @ Hall A
On Bayesian Deep Learning and Deep Bayesian Learning
[
Video]
Break
Thu Dec 07 10:40 AM -- 11:10 AM (PST)
Coffee Break
Oral
Thu Dec 07 11:10 AM -- 11:25 AM (PST) @ Hall A
Toward Goal-Driven Neural Network Models for the Rodent Whisker-Trigeminal System
In
Neuroscience
Oral
Thu Dec 07 11:10 AM -- 11:25 AM (PST) @ Hall C
Masked Autoregressive Flow for Density Estimation
Oral
Thu Dec 07 11:25 AM -- 11:40 AM (PST) @ Hall A
Model-based Bayesian inference of neural activity and connectivity from all-optical interrogation of a neural circuit
In
Neuroscience
Oral
Thu Dec 07 11:25 AM -- 11:40 AM (PST) @ Hall C
Deep Sets
Oral
Thu Dec 07 11:40 AM -- 11:55 AM (PST) @ Hall A
Quantifying how much sensory information in a neural code is relevant for behavior
In
Neuroscience
Oral
Thu Dec 07 11:40 AM -- 11:55 AM (PST) @ Hall C
From Bayesian Sparsity to Gated Recurrent Nets
Spotlight
Thu Dec 07 11:55 AM -- 12:00 PM (PST) @ Hall A
Scene Physics Acquisition via Visual De-animation
In
Neuroscience
Spotlight
Thu Dec 07 11:55 AM -- 12:00 PM (PST) @ Hall C
Self-Normalizing Neural Networks
Spotlight
Thu Dec 07 12:00 PM -- 12:05 PM (PST) @ Hall A
Shape and Material from Sound
In
Neuroscience
Spotlight
Thu Dec 07 12:00 PM -- 12:05 PM (PST) @ Hall C
Batch Renormalization: Towards Reducing Minibatch Dependence in Batch-Normalized Models
Spotlight
Thu Dec 07 12:05 PM -- 12:10 PM (PST) @ Hall C
Nonlinear random matrix theory for deep learning
Spotlight
Thu Dec 07 12:10 PM -- 12:15 PM (PST) @ Hall A
Fast amortized inference of neural activity from calcium imaging data with variational autoencoders
In
Neuroscience
Spotlight
Thu Dec 07 12:10 PM -- 12:15 PM (PST) @ Hall C
Spherical convolutions and their application in molecular modelling
Spotlight
Thu Dec 07 12:15 PM -- 12:20 PM (PST) @ Hall A
Tensor encoding and decomposition of brain connectomes with application to tractography evaluation
In
Neuroscience
Spotlight
Thu Dec 07 12:15 PM -- 12:20 PM (PST) @ Hall C
Translation Synchronization via Truncated Least Squares
Spotlight
Thu Dec 07 12:20 PM -- 12:25 PM (PST) @ Hall A
Targeting EEG/LFP Synchrony with Neural Nets
In
Neuroscience
Spotlight
Thu Dec 07 12:20 PM -- 12:25 PM (PST) @ Hall C
Self-supervised Learning of Motion Capture
Spotlight
Thu Dec 07 12:25 PM -- 12:30 PM (PST) @ Hall A
Deep Networks for Decoding Natural Images from Retinal Signals
In
Neuroscience
Spotlight
Thu Dec 07 12:25 PM -- 12:30 PM (PST) @ Hall C
Maximizing Subset Accuracy with Recurrent Neural Networks in Multi-label Classification
Symposium
Thu Dec 07 02:00 PM -- 09:30 PM (PST) @ Hall A
Deep Reinforcement Learning
[
Mastering Games]
[
Soft Actor-Critic]
[
Active Neural Localization]
[
NLP Search]
[
Reproducibility]
[
Backprop thru Void]
[
Parameter Space Noise]
[
Time-Contrastive]
[
Neural Map]
[
Variance Reduction]
[
Sample-efficient Policy Optimization]
[
One-Shot Visual Imitation]
[
Deep Exploration]
[
StarCraft II]
[
Neural Network Dynamics]
[
Overcoming Exploration in RL]
Symposium
Thu Dec 07 02:00 PM -- 09:30 PM (PST) @ Grand Ballroom
Metalearning
[
Opening]
[
Evolving Multitask]
[
Evolving to Learning]
[
PathNet]
[
Bayesian Opt]
[
AutoML]
[
Contrasting Model]
[
Population-based Training]
[
Learning to Learn]
[
Learning Strategies]
[
Intrinsically Motivated RL]
[
Self-Play]
[
Neural Architecture Search]
[
Multiple scales]
[
Panel]
Symposium
Thu Dec 07 02:00 PM -- 09:30 PM (PST) @ Hall C
Interpretable Machine Learning
[
Opening Remarks]
[
Masked Autoregressive]
[
Deep Sets]
[
David Bayesian Sparsity]
[
Causality for Interpretability]
[
Interpretable Discovery]
[
Spotlight talks]
[
Explainablity challenge]
[
Cost of Calibration]
[
Panel 1]
[
Interpretability for AI safety]
[
Manipulating and Measuring Model Interpretability.]
[
Debugging the ML Pipeline.]
[
Panel 2]
Symposium
Thu Dec 07 02:00 PM -- 09:30 PM (PST) @ Beverly Theater
Kinds of intelligence: types, tests and meeting the needs of society
Break
Thu Dec 07 04:00 PM -- 04:30 PM (PST)
Coffee Break
Break
Thu Dec 07 06:30 PM -- 07:30 PM (PST)
Light Dinner
Break
Fri Dec 08 07:00 AM -- 08:30 AM (PST)
Coffee Break
Workshop
Fri Dec 08 08:00 AM -- 08:45 PM (PST) @ 103 A+B
Competition track
Workshop
Fri Dec 08 08:00 AM -- 06:30 PM (PST) @ 104 B
Acting and Interacting in the Real World: Challenges in Robot Learning
Workshop
Fri Dec 08 08:00 AM -- 06:30 PM (PST) @ S7
Machine Learning for the Developing World
Workshop
Fri Dec 08 08:00 AM -- 06:30 PM (PST) @ Hyatt Hotel, Regency Ballroom A+B+C
Extreme Classification: Multi-class & Multi-label Learning in Extremely Large Label Spaces
Workshop
Fri Dec 08 08:00 AM -- 06:30 PM (PST) @ 202
Machine Deception
Workshop
Fri Dec 08 08:00 AM -- 06:30 PM (PST) @ 101 B
Visually grounded interaction and language
Workshop
Fri Dec 08 08:00 AM -- 06:30 PM (PST) @ Grand Ballroom B
Conversational AI - today's practice and tomorrow's potential
Workshop
Fri Dec 08 08:00 AM -- 06:30 PM (PST) @ 201 B
Nearest Neighbors for Modern Applications with Massive Data: An Age-old Solution with New Challenges
Workshop
Fri Dec 08 08:00 AM -- 06:30 PM (PST) @ Grand Ballroom A
NIPS 2017 Time Series Workshop
Workshop
Fri Dec 08 08:00 AM -- 06:30 PM (PST) @ Hyatt Hotel, Regency Ballroom D+E+F+H
Learning on Distributions, Functions, Graphs and Groups
Workshop
Fri Dec 08 08:00 AM -- 06:30 PM (PST) @ S1
ML Systems Workshop @ NIPS 2017
Workshop
Fri Dec 08 08:00 AM -- 06:30 PM (PST) @ Hyatt Hotel, Shoreline
Machine Learning and Computer Security
Workshop
Fri Dec 08 08:00 AM -- 06:30 PM (PST) @ Hyatt Hotel, Seaview Ballroom
Machine Learning for Creativity and Design
Workshop
Fri Dec 08 08:00 AM -- 06:30 PM (PST) @ 101 A
Learning in the Presence of Strategic Behavior
Workshop
Fri Dec 08 08:00 AM -- 06:30 PM (PST) @ Hall A
OPT 2017: Optimization for Machine Learning
Workshop
Fri Dec 08 08:00 AM -- 06:30 PM (PST) @ 104 C
Deep Learning for Physical Sciences
Workshop
Fri Dec 08 08:00 AM -- 06:30 PM (PST) @ 102 C
Synergies in Geometric Data Analysis (TWO DAYS)
Workshop
Fri Dec 08 08:00 AM -- 06:30 PM (PST) @ Seaside Ballroom
Advances in Approximate Bayesian Inference
Workshop
Fri Dec 08 08:00 AM -- 06:30 PM (PST) @ S5
Workshop on Worm's Neural Information Processing (WNIP)
Workshop
Fri Dec 08 08:00 AM -- 06:30 PM (PST) @ 204
Transparent and interpretable Machine Learning in Safety Critical Environments
Workshop
Fri Dec 08 08:00 AM -- 06:30 PM (PST) @ 203
Discrete Structures in Machine Learning
Workshop
Fri Dec 08 08:00 AM -- 06:30 PM (PST) @ 102 A+B
Advances in Modeling and Learning Interactions from Complex Data
Workshop
Fri Dec 08 08:00 AM -- 06:30 PM (PST) @ 102 C
6th Workshop on Automated Knowledge Base Construction (AKBC)
Workshop
Fri Dec 08 08:00 AM -- 06:30 PM (PST) @ S4
Machine Learning for Molecules and Materials
Workshop
Fri Dec 08 08:00 AM -- 06:30 PM (PST) @ 201 A
Machine Learning for Audio Signal Processing (ML4Audio)
Workshop
Fri Dec 08 08:00 AM -- 06:30 PM (PST) @ 104 A
Machine Learning for Health (ML4H) - What Parts of Healthcare are Ripe for Disruption by Machine Learning Right Now?
Workshop
Fri Dec 08 08:30 AM -- 06:30 PM (PST) @ Hall C
From 'What If?' To 'What Next?' : Causal Inference and Machine Learning for Intelligent Decision Making
Workshop
Sat Dec 09 08:00 AM -- 06:30 PM (PST) @ S1
Machine Learning Challenges as a Research Tool
Workshop
Sat Dec 09 08:00 AM -- 06:30 PM (PST) @ Hyatt Hotel, Seaview Ballroom
Optimal Transport and Machine Learning
Workshop
Sat Dec 09 08:00 AM -- 06:30 PM (PST) @ Hall A
Deep Learning: Bridging Theory and Practice
Workshop
Sat Dec 09 08:00 AM -- 06:30 PM (PST) @ 103 C
Workshop on Prioritising Online Content
Workshop
Sat Dec 09 08:00 AM -- 06:30 PM (PST) @ 202
NIPS Highlights (MLTrain), Learn How to code a paper with state of the art frameworks
Workshop
Sat Dec 09 08:00 AM -- 06:30 PM (PST) @ Seaside Ballroom
Teaching Machines, Robots, and Humans
Workshop
Sat Dec 09 08:00 AM -- 06:30 PM (PST) @ 102 A+B
Machine Learning on the Phone and other Consumer Devices
Workshop
Sat Dec 09 08:00 AM -- 06:30 PM (PST) @ Grand Ballroom B
Learning with Limited Labeled Data: Weak Supervision and Beyond
Workshop
Sat Dec 09 08:00 AM -- 06:30 PM (PST) @ Hall C
Bayesian Deep Learning
Workshop
Sat Dec 09 08:00 AM -- 06:30 PM (PST) @ Hyatt Beacon Ballroom D+E+F+H
Workshop on Meta-Learning
Workshop
Sat Dec 09 08:00 AM -- 06:30 PM (PST) @ 201 B
Aligned Artificial Intelligence
Workshop
Sat Dec 09 08:00 AM -- 06:30 PM (PST) @ Hyatt Hotel, Shoreline
Collaborate & Communicate: An exploration and practical skills workshop that builds on the experience of AIML experts who are both successful collaborators and great communicators.
Workshop
Sat Dec 09 08:00 AM -- 06:30 PM (PST) @ 101 A
(Almost) 50 shades of Bayesian Learning: PAC-Bayesian trends and insights
Workshop
Sat Dec 09 08:00 AM -- 06:30 PM (PST) @ 103 A+B
Medical Imaging meets NIPS
Workshop
Sat Dec 09 08:00 AM -- 06:30 PM (PST) @ Grand Ballroom A
Hierarchical Reinforcement Learning
Workshop
Sat Dec 09 08:00 AM -- 06:30 PM (PST) @ 104 C
The future of gradient-based machine learning software & techniques
Workshop
Sat Dec 09 08:00 AM -- 06:30 PM (PST) @ S7
Bayesian optimization for science and engineering
Workshop
Sat Dec 09 08:00 AM -- 06:30 PM (PST) @ Hyatt Hotel, Regency Ballroom A+B+C
Interpreting, Explaining and Visualizing Deep Learning - Now what ?
Workshop
Sat Dec 09 08:00 AM -- 06:30 PM (PST) @ 201 A
2017 NIPS Workshop on Machine Learning for Intelligent Transportation Systems
Workshop
Sat Dec 09 08:00 AM -- 06:30 PM (PST) @ S4
Emergent Communication Workshop
Workshop
Sat Dec 09 08:00 AM -- 06:30 PM (PST) @ 203
Learning Disentangled Features: from Perception to Control
Workshop
Sat Dec 09 08:00 AM -- 06:30 PM (PST) @ 104 A
Cognitively Informed Artificial Intelligence: Insights From Natural Intelligence
Workshop
Sat Dec 09 08:00 AM -- 06:30 PM (PST) @ 204
BigNeuro 2017: Analyzing brain data from nano to macroscale
Workshop
Sat Dec 09 08:00 AM -- 06:30 PM (PST) @ 104 B
Machine Learning in Computational Biology
Workshop
Sat Dec 09 08:00 AM -- 06:30 PM (PST) @ 102 C
Synergies in Geometric Data Analysis (2nd day)
Workshop
Sat Dec 09 08:00 AM -- 06:30 PM (PST) @ 101 B
Deep Learning at Supercomputer Scale
Break
Sat Dec 09 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom
Reception, Food, Beer & Wine, Live Music by imPosteriors