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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #1
The Multi-fidelity Multi-armed Bandit
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #2
Probabilistic Inference with Generating Functions for Poisson Latent Variable Models
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #3
Adaptive Maximization of Pointwise Submodular Functions With Budget Constraint
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #4
Dual Learning for Machine Translation
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #5
Iterative Refinement of the Approximate Posterior for Directed Belief Networks
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #6
Unsupervised Risk Estimation Using Only Conditional Independence Structure
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #7
Hierarchical Question-Image Co-Attention for Visual Question Answering
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #8
Bayesian Optimization with a Finite Budget: An Approximate Dynamic Programming Approach
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #9
Learning to learn by gradient descent by gradient descent
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #10
Computational and Statistical Tradeoffs in Learning to Rank
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #11
Pairwise Choice Markov Chains
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #12
Incremental Variational Sparse Gaussian Process Regression
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #13
Combinatorial Multi-Armed Bandit with General Reward Functions
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #14
Observational-Interventional Priors for Dose-Response Learning
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #15
On Graph Reconstruction via Empirical Risk Minimization: Fast Learning Rates and Scalability
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #16
DeepMath - Deep Sequence Models for Premise Selection
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #17
Efficient Second Order Online Learning by Sketching
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #18
Gaussian Processes for Survival Analysis
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #19
The Power of Optimization from Samples
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #20
Global Optimality of Local Search for Low Rank Matrix Recovery
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #21
A state-space model of cross-region dynamic connectivity in MEG/EEG
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #22
Hypothesis Testing in Unsupervised Domain Adaptation with Applications in Alzheimer's Disease
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #23
Bi-Objective Online Matching and Submodular Allocations
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #24
A Constant-Factor Bi-Criteria Approximation Guarantee for k-means++
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #25
Causal Bandits: Learning Good Interventions via Causal Inference
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #26
Unsupervised Domain Adaptation with Residual Transfer Networks
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #27
Data driven estimation of Laplace-Beltrami operator
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #28
Fast Algorithms for Robust PCA via Gradient Descent
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #29
NESTT: A Nonconvex Primal-Dual Splitting Method for Distributed and Stochastic Optimization
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #30
Fundamental Limits of Budget-Fidelity Trade-off in Label Crowdsourcing
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #31
Supervised Learning with Tensor Networks
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #32
Understanding Probabilistic Sparse Gaussian Process Approximations
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #33
A Locally Adaptive Normal Distribution
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #34
Anchor-Free Correlated Topic Modeling: Identifiability and Algorithm
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #35
Optimal Learning for Multi-pass Stochastic Gradient Methods
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #36
Contextual semibandits via supervised learning oracles
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #37
One-vs-Each Approximation to Softmax for Scalable Estimation of Probabilities
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #38
Satisfying Real-world Goals with Dataset Constraints
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #39
Blind Regression: Nonparametric Regression for Latent Variable Models via Collaborative Filtering
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #40
Generative Adversarial Imitation Learning
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #41
Fast Active Set Methods for Online Spike Inference from Calcium Imaging
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #42
Path-Normalized Optimization of Recurrent Neural Networks with ReLU Activations
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #43
Improved Regret Bounds for Oracle-Based Adversarial Contextual Bandits
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #44
Diffusion-Convolutional Neural Networks
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #45
Faster Projection-free Convex Optimization over the Spectrahedron
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #46
Structured Matrix Recovery via the Generalized Dantzig Selector
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #47
Convex Two-Layer Modeling with Latent Structure
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #48
Finite-Sample Analysis of Fixed-k Nearest Neighbor Density Functional Estimators
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #50
“Congruent” and “Opposite” Neurons: Sisters for Multisensory Integration and Segregation
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #51
Statistical Inference for Cluster Trees
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #52
Minimizing Regret on Reflexive Banach Spaces and Nash Equilibria in Continuous Zero-Sum Games
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #53
An Online Sequence-to-Sequence Model Using Partial Conditioning
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #54
Feature selection in functional data classification with recursive maxima hunting
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #55
Homotopy Smoothing for Non-Smooth Problems with Lower Complexity than $O(1/\epsilon)$
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #57
Density Estimation via Discrepancy Based Adaptive Sequential Partition
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #58
Budgeted stream-based active learning via adaptive submodular maximization
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #59
Lifelong Learning with Weighted Majority Votes
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #60
How Deep is the Feature Analysis underlying Rapid Visual Categorization?
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #61
Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #62
Multivariate tests of association based on univariate tests
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #63
SURGE: Surface Regularized Geometry Estimation from a Single Image
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #64
Memory-Efficient Backpropagation Through Time
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #65
Scan Order in Gibbs Sampling: Models in Which it Matters and Bounds on How Much
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #66
LightRNN: Memory and Computation-Efficient Recurrent Neural Networks
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #67
Direct Feedback Alignment Provides Learning in Deep Neural Networks
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #68
Variational Bayes on Monte Carlo Steroids
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #69
Agnostic Estimation for Misspecified Phase Retrieval Models
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #70
Following the Leader and Fast Rates in Linear Prediction: Curved Constraint Sets and Other Regularities
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #71
Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #73
Stochastic Gradient Methods for Distributionally Robust Optimization with f-divergences
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #74
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #75
Optimal spectral transportation with application to music transcription
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #76
Combining Adversarial Guarantees and Stochastic Fast Rates in Online Learning
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #77
Towards Conceptual Compression
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #78
Can Peripheral Representations Improve Clutter Metrics on Complex Scenes?
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #79
GAP Safe Screening Rules for Sparse-Group Lasso
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #80
Learning Treewidth-Bounded Bayesian Networks with Thousands of Variables
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #82
Visual Question Answering with Question Representation Update (QRU)
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #83
Identification and Overidentification of Linear Structural Equation Models
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #84
On Valid Optimal Assignment Kernels and Applications to Graph Classification
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #85
Constraints Based Convex Belief Propagation
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #86
Combinatorial Energy Learning for Image Segmentation
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #87
A scalable end-to-end Gaussian process adapter for irregularly sampled time series classification
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #88
Stochastic Variance Reduction Methods for Saddle-Point Problems
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #89
Dimensionality Reduction of Massive Sparse Datasets Using Coresets
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #90
Efficient state-space modularization for planning: theory, behavioral and neural signatures
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #91
Adaptive Newton Method for Empirical Risk Minimization to Statistical Accuracy
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #92
RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #93
Joint quantile regression in vector-valued RKHSs
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #94
Learnable Visual Markers
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #95
Exponential expressivity in deep neural networks through transient chaos
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #96
On Multiplicative Integration with Recurrent Neural Networks
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #97
Interpretable Nonlinear Dynamic Modeling of Neural Trajectories
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #98
Globally Optimal Training of Generalized Polynomial Neural Networks with Nonlinear Spectral Methods
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #99
Linear Feature Encoding for Reinforcement Learning
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #100
Graphical Time Warping for Joint Alignment of Multiple Curves
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #101
Mixed Linear Regression with Multiple Components
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #102
Statistical Inference for Pairwise Graphical Models Using Score Matching
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #103
Hardness of Online Sleeping Combinatorial Optimization Problems
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #104
An algorithm for L1 nearest neighbor search via monotonic embedding
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #105
Local Maxima in the Likelihood of Gaussian Mixture Models: Structural Results and Algorithmic Consequences
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #106
Learning User Perceived Clusters with Feature-Level Supervision
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #107
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #108
Neural Universal Discrete Denoiser
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #109
A primal-dual method for conic constrained distributed optimization problems
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #110
Simple and Efficient Weighted Minwise Hashing
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #111
Eliciting Categorical Data for Optimal Aggregation
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #112
Depth from a Single Image by Harmonizing Overcomplete Local Network Predictions
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #113
SEBOOST - Boosting Stochastic Learning Using Subspace Optimization Techniques
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #114
Reshaped Wirtinger Flow for Solving Quadratic System of Equations
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #115
Training and Evaluating Multimodal Word Embeddings with Large-scale Web Annotated Images
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #116
Online ICA: Understanding Global Dynamics of Nonconvex Optimization via Diffusion Processes
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #117
VIME: Variational Information Maximizing Exploration
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #118
Deconvolving Feedback Loops in Recommender Systems
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #119
A Non-parametric Learning Method for Confidently Estimating Patient's Clinical State and Dynamics
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #120
Semiparametric Differential Graph Models
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #121
A Non-convex One-Pass Framework for Generalized Factorization Machine and Rank-One Matrix Sensing
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #122
Sublinear Time Orthogonal Tensor Decomposition
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #123
Achieving budget-optimality with adaptive schemes in crowdsourcing
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #124
Joint Line Segmentation and Transcription for End-to-End Handwritten Paragraph Recognition
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #125
Human Decision-Making under Limited Time
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #126
Joint M-Best-Diverse Labelings as a Parametric Submodular Minimization
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #127
Even Faster SVD Decomposition Yet Without Agonizing Pain
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #128
Fast and accurate spike sorting of high-channel count probes with KiloSort
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #129
Batched Gaussian Process Bandit Optimization via Determinantal Point Processes
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #130
Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #131
Optimal Sparse Linear Encoders and Sparse PCA
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #132
Using Social Dynamics to Make Individual Predictions: Variational Inference with a Stochastic Kinetic Model
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #133
Learning Additive Exponential Family Graphical Models via $\ell_{2,1}$-norm Regularized M-Estimation
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #134
Residual Networks Behave Like Ensembles of Relatively Shallow Networks
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #135
Full-Capacity Unitary Recurrent Neural Networks
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #136
Quantum Perceptron Models
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #137
Mapping Estimation for Discrete Optimal Transport
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #138
Stochastic Gradient Geodesic MCMC Methods
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #139
Variational Information Maximization for Feature Selection
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #140
A Minimax Approach to Supervised Learning
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #141
Fast Distributed Submodular Cover: Public-Private Data Summarization
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #143
Multimodal Residual Learning for Visual QA
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #144
Optimizing affinity-based binary hashing using auxiliary coordinates
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #145
Coresets for Scalable Bayesian Logistic Regression
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #146
The Parallel Knowledge Gradient Method for Batch Bayesian Optimization
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #147
Learning Multiagent Communication with Backpropagation
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #148
Optimal Binary Classifier Aggregation for General Losses
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #149
The Generalized Reparameterization Gradient
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #150
Conditional Generative Moment-Matching Networks
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #151
A Credit Assignment Compiler for Joint Prediction
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #152
Short-Dot: Computing Large Linear Transforms Distributedly Using Coded Short Dot Products
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #153
Spatio-Temporal Hilbert Maps for Continuous Occupancy Representation in Dynamic Environments
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #154
Learning HMMs with Nonparametric Emissions via Spectral Decompositions of Continuous Matrices
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #155
Integrated perception with recurrent multi-task neural networks
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #156
Blind Attacks on Machine Learners
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #158
Sub-sampled Newton Methods with Non-uniform Sampling
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #159
Learned Region Sparsity and Diversity Also Predicts Visual Attention
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #160
Adaptive Concentration Inequalities for Sequential Decision Problems
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #161
Cooperative Graphical Models
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #162
Correlated-PCA: Principal Components' Analysis when Data and Noise are Correlated
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #163
Hierarchical Object Representation for Open-Ended Object Category Learning and Recognition
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #164
Optimal Tagging with Markov Chain Optimization
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #165
Bayesian optimization for automated model selection
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #166
Multi-view Anomaly Detection via Robust Probabilistic Latent Variable Models
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #167
Inference by Reparameterization in Neural Population Codes
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #168
Efficient Neural Codes under Metabolic Constraints
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #169
Learning Deep Parsimonious Representations
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #170
An equivalence between high dimensional Bayes optimal inference and M-estimation
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #171
Minimizing Quadratic Functions in Constant Time
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #172
Learning Structured Sparsity in Deep Neural Networks
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #173
Adversarial Multiclass Classification: A Risk Minimization Perspective
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #174
Unified Methods for Exploiting Piecewise Linear Structure in Convex Optimization
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #175
Fast and Provably Good Seedings for k-Means
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #176
Testing for Differences in Gaussian Graphical Models: Applications to Brain Connectivity
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #177
Synthesis of MCMC and Belief Propagation
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #179
Sequential Neural Models with Stochastic Layers
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #180
Graphons, mergeons, and so on!
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #181
Hierarchical Clustering via Spreading Metrics
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #182
Deep Learning for Predicting Human Strategic Behavior
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #183
Global Analysis of Expectation Maximization for Mixtures of Two Gaussians
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #184
Supervised learning through the lens of compression
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #185
Matrix Completion has No Spurious Local Minimum
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #186
Clustering with Same-Cluster Queries
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #187
MetaGrad: Multiple Learning Rates in Online Learning
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #188
Unsupervised Feature Extraction by Time-Contrastive Learning and Nonlinear ICA
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #189
Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #190
Tractable Operations for Arithmetic Circuits of Probabilistic Models
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #191
Using Fast Weights to Attend to the Recent Past
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #192
Bayesian Intermittent Demand Forecasting for Large Inventories
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #193
Blazing the trails before beating the path: Sample-efficient Monte-Carlo planning
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Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #194
SDP Relaxation with Randomized Rounding for Energy Disaggregation
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