718
Toggle Poster Visibility
Tutorial
Mon Dec 5th 08:30 -- 10:30 AM @ Area 3
Crowdsourcing: Beyond Label Generation
Tutorial
Mon Dec 5th 08:30 -- 10:30 AM @ Rooms 211 + 212
Deep Reinforcement Learning Through Policy Optimization
Tutorial
Mon Dec 5th 08:30 -- 10:30 AM @ Area 1 + 2
Variational Inference: Foundations and Modern Methods
Tutorial
Mon Dec 5th 11:00 AM -- 01:00 PM @ Area 3
Natural Language Processing for Computational Social Science
Tutorial
Mon Dec 5th 11:00 AM -- 01:00 PM @ Area 1 + 2
Nuts and Bolts of Building Applications using Deep Learning
Tutorial
Mon Dec 5th 11:00 AM -- 01:00 PM @ Rooms 211 + 212
Theory and Algorithms for Forecasting Non-Stationary Time Series
Tutorial
Mon Dec 5th 02:30 -- 04:30 PM @ Rooms 211 + 212
Large-Scale Optimization: Beyond Stochastic Gradient Descent and Convexity
Tutorial
Mon Dec 5th 02:30 -- 04:30 PM @ Area 3
ML Foundations and Methods for Precision Medicine and Healthcare
Tutorial
Mon Dec 5th 02:30 -- 04:30 PM @ Area 1 + 2
Generative Adversarial Networks
Invited Talk (Posner Lecture)
Mon Dec 5th 05:30 -- 06:20 PM @ area 1 + 2
Predictive Learning
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #1
Improved Dropout for Shallow and Deep Learning
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #2
Communication-Optimal Distributed Clustering
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #3
On Robustness of Kernel Clustering
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #4
Combinatorial semi-bandit with known covariance
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #5
A posteriori error bounds for joint matrix decomposition problems
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #6
Object based Scene Representations using Fisher Scores of Local Subspace Projections
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #7
MoCap-guided Data Augmentation for 3D Pose Estimation in the Wild
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #8
Regret of Queueing Bandits
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #9
Efficient Nonparametric Smoothness Estimation
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #10
Completely random measures for modelling block-structured sparse networks
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #11
DISCO Nets : DISsimilarity COefficients Networks
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #12
An Architecture for Deep, Hierarchical Generative Models
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #13
A Multi-Batch L-BFGS Method for Machine Learning
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #14
Higher-Order Factorization Machines
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #15
A Bio-inspired Redundant Sensing Architecture
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #16
Learning Supervised PageRank with Gradient-Based and Gradient-Free Optimization Methods
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #17
Linear Relaxations for Finding Diverse Elements in Metric Spaces
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #18
Stochastic Optimization for Large-scale Optimal Transport
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #19
Threshold Bandits, With and Without Censored Feedback
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #20
Mistake Bounds for Binary Matrix Completion
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #21
SoundNet: Learning Sound Representations from Unlabeled Video
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #22
Doubly Convolutional Neural Networks
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #23
Maximizing Influence in an Ising Network: A Mean-Field Optimal Solution
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #24
Learning from Rational Behavior: Predicting Solutions to Unknown Linear Programs
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #25
Fairness in Learning: Classic and Contextual Bandits
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #26
A Powerful Generative Model Using Random Weights for the Deep Image Representation
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #27
Improved Error Bounds for Tree Representations of Metric Spaces
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #28
Adaptive optimal training of animal behavior
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #29
PAC-Bayesian Theory Meets Bayesian Inference
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #30
Nearly Isometric Embedding by Relaxation
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #31
Graph Clustering: Block-models and model free results
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #32
Learning Transferrable Representations for Unsupervised Domain Adaptation
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #33
Measuring Neural Net Robustness with Constraints
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #34
A forward model at Purkinje cell synapses facilitates cerebellar anticipatory control
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #35
Estimating Nonlinear Neural Response Functions using GP Priors and Kronecker Methods
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #36
A Bayesian method for reducing bias in neural representational similarity analysis
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #37
Learning to Communicate with Deep Multi-Agent Reinforcement Learning
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #38
Total Variation Classes Beyond 1d: Minimax Rates, and the Limitations of Linear Smoothers
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #39
Exponential Family Embeddings
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #40
k*-Nearest Neighbors: From Global to Local
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #41
Reward Augmented Maximum Likelihood for Neural Structured Prediction
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #42
A Probabilistic Model of Social Decision Making based on Reward Maximization
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #43
Active Learning with Oracle Epiphany
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #44
On Regularizing Rademacher Observation Losses
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #45
A Non-generative Framework and Convex Relaxations for Unsupervised Learning
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #46
Learning Tree Structured Potential Games
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #47
Equality of Opportunity in Supervised Learning
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #48
Interaction Networks for Learning about Objects, Relations and Physics
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #49
beta-risk: a New Surrogate Risk for Learning from Weakly Labeled Data
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #50
Binarized Neural Networks
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #51
Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #52
Generating Images with Perceptual Similarity Metrics based on Deep Networks
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #53
Exploiting Tradeoffs for Exact Recovery in Heterogeneous Stochastic Block Models
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #54
Tensor Switching Networks
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #55
Finite-Dimensional BFRY Priors and Variational Bayesian Inference for Power Law Models
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #56
Temporal Regularized Matrix Factorization for High-dimensional Time Series Prediction
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #57
Composing graphical models with neural networks for structured representations and fast inference
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #58
PAC Reinforcement Learning with Rich Observations
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #59
Algorithms and matching lower bounds for approximately-convex optimization
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #60
Proximal Stochastic Methods for Nonsmooth Nonconvex Finite-Sum Optimization
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #61
A Simple Practical Accelerated Method for Finite Sums
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #62
Unsupervised Learning for Physical Interaction through Video Prediction
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #63
Threshold Learning for Optimal Decision Making
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #64
Collaborative Recurrent Autoencoder: Recommend while Learning to Fill in the Blanks
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #65
Finding significant combinations of features in the presence of categorical covariates
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #66
Synthesizing the preferred inputs for neurons in neural networks via deep generator networks
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #67
Learning Infinite RBMs with Frank-Wolfe
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #68
Sorting out typicality with the inverse moment matrix SOS polynomial
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #69
Improving PAC Exploration Using the Median Of Means
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #70
Reconstructing Parameters of Spreading Models from Partial Observations
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #71
Dynamic Filter Networks
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #72
Generating Long-term Trajectories Using Deep Hierarchical Networks
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #73
Cooperative Inverse Reinforcement Learning
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #74
Review Networks for Caption Generation
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #75
Gradient-based Sampling: An Adaptive Importance Sampling for Least-squares
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #76
Robust k-means: a Theoretical Revisit
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #77
Boosting with Abstention
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #78
Estimating the class prior and posterior from noisy positives and unlabeled data
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #79
Bootstrap Model Aggregation for Distributed Statistical Learning
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #80
Noise-Tolerant Life-Long Matrix Completion via Adaptive Sampling
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #81
FPNN: Field Probing Neural Networks for 3D Data
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #82
Causal meets Submodular: Subset Selection with Directed Information
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #83
Improving Variational Autoencoders with Inverse Autoregressive Flow
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #84
Adaptive Smoothed Online Multi-Task Learning
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #85
The Limits of Learning with Missing Data
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #86
Safe Exploration in Finite Markov Decision Processes with Gaussian Processes
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #87
Sparse Support Recovery with Non-smooth Loss Functions
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #88
Crowdsourced Clustering: Querying Edges vs Triangles
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #89
Dual Decomposed Learning with Factorwise Oracle for Structural SVM of Large Output Domain
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #90
Sampling for Bayesian Program Learning
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #91
Multiple-Play Bandits in the Position-Based Model
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #92
Image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #93
Optimistic Bandit Convex Optimization
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #94
Computing and maximizing influence in linear threshold and triggering models
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #95
Clustering with Bregman Divergences: an Asymptotic Analysis
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #96
Community Detection on Evolving Graphs
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #97
Dueling Bandits: Beyond Condorcet Winners to General Tournament Solutions
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #98
Learning a Metric Embedding for Face Recognition using the Multibatch Method
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #99
Convergence guarantees for kernel-based quadrature rules in misspecified settings
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #100
Stochastic Variational Deep Kernel Learning
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #101
Deep Submodular Functions: Definitions and Learning
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #102
Scaled Least Squares Estimator for GLMs in Large-Scale Problems
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #103
High-Rank Matrix Completion and Clustering under Self-Expressive Models
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #104
Stochastic Three-Composite Convex Minimization
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #105
Tree-Structured Reinforcement Learning for Sequential Object Localization
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #106
The non-convex Burer-Monteiro approach works on smooth semidefinite programs
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #107
Neurons Equipped with Intrinsic Plasticity Learn Stimulus Intensity Statistics
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #108
Greedy Feature Construction
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #109
Dynamic Mode Decomposition with Reproducing Kernels for Koopman Spectral Analysis
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #110
Learning the Number of Neurons in Deep Networks
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #111
Strategic Attentive Writer for Learning Macro-Actions
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #112
Active Learning from Imperfect Labelers
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #113
Probabilistic Linear Multistep Methods
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #114
More Supervision, Less Computation: Statistical-Computational Tradeoffs in Weakly Supervised Learning
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #115
Mutual information for symmetric rank-one matrix estimation: A proof of the replica formula
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #116
Coin Betting and Parameter-Free Online Learning
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #117
Normalized Spectral Map Synchronization
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #118
On Explore-Then-Commit strategies
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #119
Learning Kernels with Random Features
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #120
Robustness of classifiers: from adversarial to random noise
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #121
Adaptive Skills Adaptive Partitions (ASAP)
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #122
Gaussian Process Bandit Optimisation with Multi-fidelity Evaluations
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #123
Flexible Models for Microclustering with Application to Entity Resolution
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #124
Stochastic Gradient Richardson-Romberg Markov Chain Monte Carlo
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #125
Online and Differentially-Private Tensor Decomposition
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #126
Maximal Sparsity with Deep Networks?
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #127
Efficient High-Order Interaction-Aware Feature Selection Based on Conditional Mutual Information
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #128
Geometric Dirichlet Means Algorithm for topic inference
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #129
Interaction Screening: Efficient and Sample-Optimal Learning of Ising Models
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #130
Multi-armed Bandits: Competing with Optimal Sequences
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #131
Catching heuristics are optimal control policies
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #132
Riemannian SVRG: Fast Stochastic Optimization on Riemannian Manifolds
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #133
A Comprehensive Linear Speedup Analysis for Asynchronous Stochastic Parallel Optimization from Zeroth-Order to First-Order
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #134
Stochastic Gradient MCMC with Stale Gradients
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #135
Disentangling factors of variation in deep representation using adversarial training
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #136
Consistent Kernel Mean Estimation for Functions of Random Variables
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #137
DECOrrelated feature space partitioning for distributed sparse regression
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #138
Coupled Generative Adversarial Networks
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #139
Matching Networks for One Shot Learning
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #140
Distributed Flexible Nonlinear Tensor Factorization
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #141
Tracking the Best Expert in Non-stationary Stochastic Environments
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #142
Deep Alternative Neural Network: Exploring Contexts as Early as Possible for Action Recognition
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #143
Learning Parametric Sparse Models for Image Super-Resolution
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #144
Kernel Observers: Systems-Theoretic Modeling and Inference of Spatiotemporally Evolving Processes
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #145
Learning brain regions via large-scale online structured sparse dictionary learning
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #146
Scaling Factorial Hidden Markov Models: Stochastic Variational Inference without Messages
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #147
A Bandit Framework for Strategic Regression
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #148
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #149
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #150
Deep Learning Models of the Retinal Response to Natural Scenes
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #151
Safe and Efficient Off-Policy Reinforcement Learning
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #152
Yggdrasil: An Optimized System for Training Deep Decision Trees at Scale
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #153
Sample Complexity of Automated Mechanism Design
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #154
Deep Exploration via Bootstrapped DQN
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #155
Search Improves Label for Active Learning
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #156
Efficient and Robust Spiking Neural Circuit for Navigation Inspired by Echolocating Bats
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #157
Theoretical Comparisons of Positive-Unlabeled Learning against Positive-Negative Learning
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #158
Quantized Random Projections and Non-Linear Estimation of Cosine Similarity
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #159
CNNpack: Packing Convolutional Neural Networks in the Frequency Domain
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #160
Verification Based Solution for Structured MAB Problems
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #161
Neurally-Guided Procedural Models: Amortized Inference for Procedural Graphics Programs using Neural Networks
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #162
Edge-exchangeable graphs and sparsity
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #163
Learning and Forecasting Opinion Dynamics in Social Networks
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #164
Probing the Compositionality of Intuitive Functions
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #165
Learning shape correspondence with anisotropic convolutional neural networks
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #166
Improved Techniques for Training GANs
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #167
Automated scalable segmentation of neurons from multispectral images
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #168
Optimal Cluster Recovery in the Labeled Stochastic Block Model
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #169
Phased Exploration with Greedy Exploitation in Stochastic Combinatorial Partial Monitoring Games
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #170
Dual Space Gradient Descent for Online Learning
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #171
Data Programming: Creating Large Training Sets, Quickly
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #172
Near-Optimal Smoothing of Structured Conditional Probability Matrices
Poster
Mon Dec 5th 06:00 -- 09:30 PM @ Area 5+6+7+8 #173
An urn model for majority voting in classification ensembles
Invited Talk
Tue Dec 6th 09:00 -- 09:50 AM @ Area 1+2
Intelligent Biosphere
Oral
Tue Dec 6th 09:50 -- 10:10 AM @ Area 1 + 2
Value Iteration Networks
Oral
Tue Dec 6th 10:40 -- 11:00 AM @ Area 1 + 2
Tractable Operations for Arithmetic Circuits of Probabilistic Models
Oral
Tue Dec 6th 11:00 -- 11:20 AM @ Area 3
Hierarchical Clustering via Spreading Metrics
In
Clustering
Oral
Tue Dec 6th 11:00 -- 11:20 AM @ Area 1 + 2
Testing for Differences in Gaussian Graphical Models: Applications to Brain Connectivity
Oral
Tue Dec 6th 11:20 -- 11:40 AM @ Area 1 + 2
SDP Relaxation with Randomized Rounding for Energy Disaggregation
Oral
Tue Dec 6th 11:40 AM -- 12:00 PM @ Area 3
Unsupervised Feature Extraction by Time-Contrastive Learning and Nonlinear ICA
In
Clustering
Oral
Tue Dec 6th 11:40 AM -- 12:00 PM @ Area 1 + 2
Bayesian Intermittent Demand Forecasting for Large Inventories
Oral
Tue Dec 6th 12:00 -- 12:20 PM @ Area 3
Fast and Provably Good Seedings for k-Means
In
Clustering
Oral
Tue Dec 6th 12:00 -- 12:20 PM @ Area 1 + 2
Synthesis of MCMC and Belief Propagation
Invited Talk
Tue Dec 6th 03:00 -- 03:50 PM @ Area 1 + 2
Engineering Principles From Stable and Developing Brains
Oral
Tue Dec 6th 04:20 -- 04:40 PM @ Area 1 + 2
Deep Learning for Predicting Human Strategic Behavior
Oral
Tue Dec 6th 04:40 -- 05:00 PM @ Area 1 + 2
Using Fast Weights to Attend to the Recent Past
Oral
Tue Dec 6th 05:00 -- 05:20 PM @ Area 1 + 2
Sequential Neural Models with Stochastic Layers
Oral
Tue Dec 6th 05:20 -- 05:40 PM @ Area 1 + 2
Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences
Demonstration
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5 + 6 + 7 + 8
Deep Reinforcement Learning for Robotics in DIANNE
In
Demos (Tue)
Demonstration
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5 + 6 + 7 + 8
Real-time interactive sequence generation with Recurrent Neural Network ensembles
In
Demos (Tue)
Demonstration
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5 + 6 + 7 + 8
Project Malmo - Minecraft for AI Research
In
Demos (Tue)
Demonstration
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5 + 6 + 7 + 8
Movidius Fathom: Deep Learning in a USB stick
In
Demos (Tue)
Demonstration
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5 + 6 + 7 + 8
Logically Complex Symbol Grounding for Interactive Robots by Seq2seq Learning with an LSTM-RNN
In
Demos (Tue)
Demonstration
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5 + 6 + 7 + 8
Content-based Related Video Recommendations
In
Demos (Tue)
Demonstration
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5 + 6 + 7 + 8
Detecting Unexpected Obstacles for Self-Driving Cars: Fusing Deep Learning and Geometric Modeling
In
Demos (Tue)
Demonstration
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5 + 6 + 7 + 8
Brain-machine interface spelling device based on reinforcement learning
In
Demos (Tue)
Demonstration
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5 + 6 + 7 + 8
Autonomous exploration, active learning and human guidance with open-source Poppy humanoid robot platform and Explauto library
In
Demos (Tue)
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #1
The Multi-fidelity Multi-armed Bandit
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #2
Probabilistic Inference with Generating Functions for Poisson Latent Variable Models
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #3
Adaptive Maximization of Pointwise Submodular Functions With Budget Constraint
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #4
Dual Learning for Machine Translation
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #5
Iterative Refinement of the Approximate Posterior for Directed Belief Networks
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #6
Unsupervised Risk Estimation Using Only Conditional Independence Structure
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #7
Hierarchical Question-Image Co-Attention for Visual Question Answering
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #8
Bayesian Optimization with a Finite Budget: An Approximate Dynamic Programming Approach
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #9
Learning to learn by gradient descent by gradient descent
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #10
Computational and Statistical Tradeoffs in Learning to Rank
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #11
Pairwise Choice Markov Chains
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #12
Incremental Variational Sparse Gaussian Process Regression
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #13
Combinatorial Multi-Armed Bandit with General Reward Functions
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #14
Observational-Interventional Priors for Dose-Response Learning
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #15
On Graph Reconstruction via Empirical Risk Minimization: Fast Learning Rates and Scalability
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #16
DeepMath - Deep Sequence Models for Premise Selection
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #17
Efficient Second Order Online Learning by Sketching
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #18
Gaussian Processes for Survival Analysis
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #19
The Power of Optimization from Samples
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #20
Global Optimality of Local Search for Low Rank Matrix Recovery
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #21
A state-space model of cross-region dynamic connectivity in MEG/EEG
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #22
Hypothesis Testing in Unsupervised Domain Adaptation with Applications in Alzheimer's Disease
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #23
Bi-Objective Online Matching and Submodular Allocations
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #24
A Constant-Factor Bi-Criteria Approximation Guarantee for k-means++
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #25
Causal Bandits: Learning Good Interventions via Causal Inference
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #26
Unsupervised Domain Adaptation with Residual Transfer Networks
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #27
Data driven estimation of Laplace-Beltrami operator
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #28
Fast Algorithms for Robust PCA via Gradient Descent
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #29
NESTT: A Nonconvex Primal-Dual Splitting Method for Distributed and Stochastic Optimization
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #30
Fundamental Limits of Budget-Fidelity Trade-off in Label Crowdsourcing
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #31
Supervised Learning with Tensor Networks
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #32
Understanding Probabilistic Sparse Gaussian Process Approximations
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #33
A Locally Adaptive Normal Distribution
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #34
Anchor-Free Correlated Topic Modeling: Identifiability and Algorithm
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #35
Optimal Learning for Multi-pass Stochastic Gradient Methods
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #36
Contextual semibandits via supervised learning oracles
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #37
One-vs-Each Approximation to Softmax for Scalable Estimation of Probabilities
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #38
Satisfying Real-world Goals with Dataset Constraints
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #39
Blind Regression: Nonparametric Regression for Latent Variable Models via Collaborative Filtering
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #40
Generative Adversarial Imitation Learning
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #41
Fast Active Set Methods for Online Spike Inference from Calcium Imaging
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #42
Path-Normalized Optimization of Recurrent Neural Networks with ReLU Activations
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #43
Improved Regret Bounds for Oracle-Based Adversarial Contextual Bandits
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #44
Diffusion-Convolutional Neural Networks
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #45
Faster Projection-free Convex Optimization over the Spectrahedron
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #46
Structured Matrix Recovery via the Generalized Dantzig Selector
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #47
Convex Two-Layer Modeling with Latent Structure
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #48
Finite-Sample Analysis of Fixed-k Nearest Neighbor Density Functional Estimators
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #49
Deep Learning Games
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #50
“Congruent” and “Opposite” Neurons: Sisters for Multisensory Integration and Segregation
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #51
Statistical Inference for Cluster Trees
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #52
Minimizing Regret on Reflexive Banach Spaces and Nash Equilibria in Continuous Zero-Sum Games
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #53
An Online Sequence-to-Sequence Model Using Partial Conditioning
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #54
Feature selection in functional data classification with recursive maxima hunting
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #55
Homotopy Smoothing for Non-Smooth Problems with Lower Complexity than $O(1/\epsilon)$
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #56
Nested Mini-Batch K-Means
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #57
Density Estimation via Discrepancy Based Adaptive Sequential Partition
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #58
Budgeted stream-based active learning via adaptive submodular maximization
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #59
Lifelong Learning with Weighted Majority Votes
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #60
How Deep is the Feature Analysis underlying Rapid Visual Categorization?
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #61
Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #62
Multivariate tests of association based on univariate tests
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #63
SURGE: Surface Regularized Geometry Estimation from a Single Image
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #64
Memory-Efficient Backpropagation Through Time
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #65
Scan Order in Gibbs Sampling: Models in Which it Matters and Bounds on How Much
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #66
LightRNN: Memory and Computation-Efficient Recurrent Neural Networks
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #67
Direct Feedback Alignment Provides Learning in Deep Neural Networks
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #68
Variational Bayes on Monte Carlo Steroids
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #69
Agnostic Estimation for Misspecified Phase Retrieval Models
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #70
Following the Leader and Fast Rates in Linear Prediction: Curved Constraint Sets and Other Regularities
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #71
Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #73
Stochastic Gradient Methods for Distributionally Robust Optimization with f-divergences
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #74
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #75
Optimal spectral transportation with application to music transcription
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #76
Combining Adversarial Guarantees and Stochastic Fast Rates in Online Learning
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #77
Towards Conceptual Compression
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #78
Can Peripheral Representations Improve Clutter Metrics on Complex Scenes?
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #79
GAP Safe Screening Rules for Sparse-Group Lasso
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #80
Learning Treewidth-Bounded Bayesian Networks with Thousands of Variables
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #81
Ancestral Causal Inference
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #82
Visual Question Answering with Question Representation Update (QRU)
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #83
Identification and Overidentification of Linear Structural Equation Models
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #84
On Valid Optimal Assignment Kernels and Applications to Graph Classification
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #85
Constraints Based Convex Belief Propagation
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #86
Combinatorial Energy Learning for Image Segmentation
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #87
A scalable end-to-end Gaussian process adapter for irregularly sampled time series classification
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #88
Stochastic Variance Reduction Methods for Saddle-Point Problems
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #89
Dimensionality Reduction of Massive Sparse Datasets Using Coresets
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #90
Efficient state-space modularization for planning: theory, behavioral and neural signatures
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #91
Adaptive Newton Method for Empirical Risk Minimization to Statistical Accuracy
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #92
RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #93
Joint quantile regression in vector-valued RKHSs
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #94
Learnable Visual Markers
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #95
Exponential expressivity in deep neural networks through transient chaos
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #96
On Multiplicative Integration with Recurrent Neural Networks
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #97
Interpretable Nonlinear Dynamic Modeling of Neural Trajectories
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #98
Globally Optimal Training of Generalized Polynomial Neural Networks with Nonlinear Spectral Methods
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #99
Linear Feature Encoding for Reinforcement Learning
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #100
Graphical Time Warping for Joint Alignment of Multiple Curves
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #101
Mixed Linear Regression with Multiple Components
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #102
Statistical Inference for Pairwise Graphical Models Using Score Matching
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #103
Hardness of Online Sleeping Combinatorial Optimization Problems
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #104
An algorithm for L1 nearest neighbor search via monotonic embedding
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #105
Local Maxima in the Likelihood of Gaussian Mixture Models: Structural Results and Algorithmic Consequences
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #106
Learning User Perceived Clusters with Feature-Level Supervision
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #107
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #108
Neural Universal Discrete Denoiser
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #109
A primal-dual method for conic constrained distributed optimization problems
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #110
Simple and Efficient Weighted Minwise Hashing
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #111
Eliciting Categorical Data for Optimal Aggregation
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #112
Depth from a Single Image by Harmonizing Overcomplete Local Network Predictions
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #113
SEBOOST - Boosting Stochastic Learning Using Subspace Optimization Techniques
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #114
Reshaped Wirtinger Flow for Solving Quadratic System of Equations
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #115
Training and Evaluating Multimodal Word Embeddings with Large-scale Web Annotated Images
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #116
Online ICA: Understanding Global Dynamics of Nonconvex Optimization via Diffusion Processes
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #117
VIME: Variational Information Maximizing Exploration
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #118
Deconvolving Feedback Loops in Recommender Systems
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #119
A Non-parametric Learning Method for Confidently Estimating Patient's Clinical State and Dynamics
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #120
Semiparametric Differential Graph Models
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #121
A Non-convex One-Pass Framework for Generalized Factorization Machine and Rank-One Matrix Sensing
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #122
Sublinear Time Orthogonal Tensor Decomposition
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #123
Achieving budget-optimality with adaptive schemes in crowdsourcing
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #124
Joint Line Segmentation and Transcription for End-to-End Handwritten Paragraph Recognition
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #125
Human Decision-Making under Limited Time
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #126
Joint M-Best-Diverse Labelings as a Parametric Submodular Minimization
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #127
Even Faster SVD Decomposition Yet Without Agonizing Pain
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #128
Fast and accurate spike sorting of high-channel count probes with KiloSort
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #129
Batched Gaussian Process Bandit Optimization via Determinantal Point Processes
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #130
Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #131
Optimal Sparse Linear Encoders and Sparse PCA
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #132
Using Social Dynamics to Make Individual Predictions: Variational Inference with a Stochastic Kinetic Model
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #133
Learning Additive Exponential Family Graphical Models via $\ell_{2,1}$-norm Regularized M-Estimation
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #134
Residual Networks Behave Like Ensembles of Relatively Shallow Networks
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #135
Full-Capacity Unitary Recurrent Neural Networks
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #136
Quantum Perceptron Models
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #137
Mapping Estimation for Discrete Optimal Transport
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #138
Stochastic Gradient Geodesic MCMC Methods
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #139
Variational Information Maximization for Feature Selection
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #140
A Minimax Approach to Supervised Learning
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #141
Fast Distributed Submodular Cover: Public-Private Data Summarization
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #142
Domain Separation Networks
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #143
Multimodal Residual Learning for Visual QA
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #144
Optimizing affinity-based binary hashing using auxiliary coordinates
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #145
Coresets for Scalable Bayesian Logistic Regression
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #146
The Parallel Knowledge Gradient Method for Batch Bayesian Optimization
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #147
Learning Multiagent Communication with Backpropagation
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #148
Optimal Binary Classifier Aggregation for General Losses
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #149
The Generalized Reparameterization Gradient
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #150
Conditional Generative Moment-Matching Networks
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #151
A Credit Assignment Compiler for Joint Prediction
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #152
Short-Dot: Computing Large Linear Transforms Distributedly Using Coded Short Dot Products
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #153
Spatio-Temporal Hilbert Maps for Continuous Occupancy Representation in Dynamic Environments
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #154
Learning HMMs with Nonparametric Emissions via Spectral Decompositions of Continuous Matrices
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #155
Integrated perception with recurrent multi-task neural networks
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #156
Blind Attacks on Machine Learners
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #157
Optimistic Gittins Indices
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #158
Sub-sampled Newton Methods with Non-uniform Sampling
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #159
Learned Region Sparsity and Diversity Also Predicts Visual Attention
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #160
Adaptive Concentration Inequalities for Sequential Decision Problems
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #161
Cooperative Graphical Models
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #162
Correlated-PCA: Principal Components' Analysis when Data and Noise are Correlated
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #163
Hierarchical Object Representation for Open-Ended Object Category Learning and Recognition
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #164
Optimal Tagging with Markov Chain Optimization
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #165
Bayesian optimization for automated model selection
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #166
Multi-view Anomaly Detection via Robust Probabilistic Latent Variable Models
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #167
Inference by Reparameterization in Neural Population Codes
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #168
Efficient Neural Codes under Metabolic Constraints
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #169
Learning Deep Parsimonious Representations
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #170
An equivalence between high dimensional Bayes optimal inference and M-estimation
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #171
Minimizing Quadratic Functions in Constant Time
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #172
Learning Structured Sparsity in Deep Neural Networks
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #173
Adversarial Multiclass Classification: A Risk Minimization Perspective
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #174
Unified Methods for Exploiting Piecewise Linear Structure in Convex Optimization
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #175
Fast and Provably Good Seedings for k-Means
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #176
Testing for Differences in Gaussian Graphical Models: Applications to Brain Connectivity
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #177
Synthesis of MCMC and Belief Propagation
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #178
Value Iteration Networks
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #179
Sequential Neural Models with Stochastic Layers
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #180
Graphons, mergeons, and so on!
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #181
Hierarchical Clustering via Spreading Metrics
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #182
Deep Learning for Predicting Human Strategic Behavior
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #183
Global Analysis of Expectation Maximization for Mixtures of Two Gaussians
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #184
Supervised learning through the lens of compression
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #185
Matrix Completion has No Spurious Local Minimum
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #186
Clustering with Same-Cluster Queries
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #187
MetaGrad: Multiple Learning Rates in Online Learning
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #188
Unsupervised Feature Extraction by Time-Contrastive Learning and Nonlinear ICA
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #189
Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #190
Tractable Operations for Arithmetic Circuits of Probabilistic Models
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #191
Using Fast Weights to Attend to the Recent Past
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #192
Bayesian Intermittent Demand Forecasting for Large Inventories
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #193
Blazing the trails before beating the path: Sample-efficient Monte-Carlo planning
Poster
Tue Dec 6th 06:00 -- 09:30 PM @ Area 5+6+7+8 #194
SDP Relaxation with Randomized Rounding for Energy Disaggregation
Invited Talk
Wed Dec 7th 09:00 -- 09:50 AM @ Area 1 + 2
Machine Learning and Likelihood-Free Inference in Particle Physics
Oral
Wed Dec 7th 09:50 -- 10:10 AM @ Area 1 + 2
Matrix Completion has No Spurious Local Minimum
In
Award Talk
Oral
Wed Dec 7th 10:40 -- 11:00 AM @ Area 3
Achieving the KS threshold in the general stochastic block model with linearized acyclic belief propagation
In
Algorithms
Oral
Wed Dec 7th 10:40 -- 11:00 AM @ Area 1 + 2
Large-Scale Price Optimization via Network Flow
In
Applications
Oral
Wed Dec 7th 11:00 -- 11:20 AM @ Area 1 + 2
Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks
In
Applications
Oral
Wed Dec 7th 11:40 AM -- 12:00 PM @ Area 1 + 2
Beyond Exchangeability: The Chinese Voting Process
In
Applications
Oral
Wed Dec 7th 12:00 -- 12:20 PM @ Area 1 + 2
Protein contact prediction from amino acid co-evolution using convolutional networks for graph-valued images
In
Applications
Demonstration
Wed Dec 7th 12:30 -- 03:00 PM @ Leonardo Da Vinci Square
Live Demo: Detecting Unexpected Obstacles for Self-Driving Cars
In
Demos (Wed)
Invited Talk
Wed Dec 7th 03:00 -- 03:50 PM @ Area 1 + 2
Dynamic Legged Robots
Oral
Wed Dec 7th 04:20 -- 04:40 PM @ Area 1 + 2
Deep Learning without Poor Local Minima
Oral
Wed Dec 7th 04:20 -- 04:40 PM @ Area 3
Without-Replacement Sampling for Stochastic Gradient Methods
In
Optimization
Oral
Wed Dec 7th 05:00 -- 05:20 PM @ Area 1 + 2
Learning to Poke by Poking: Experiential Learning of Intuitive Physics
Oral
Wed Dec 7th 05:00 -- 05:20 PM @ Area 3
Linear-Memory and Decomposition-Invariant Linearly Convergent Conditional Gradient Algorithm for Structured Polytopes
In
Optimization
Oral
Wed Dec 7th 05:20 -- 05:40 PM @ Area 1 + 2
Learning What and Where to Draw
Oral
Wed Dec 7th 05:20 -- 05:40 PM @ Area 3
Generalization of ERM in Stochastic Convex Optimization: The Dimension Strikes Back
In
Optimization
Oral
Wed Dec 7th 05:40 -- 06:00 PM @ Area 1 + 2
Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks
Oral
Wed Dec 7th 05:40 -- 06:00 PM @ Area 3
Bayesian Optimization with Robust Bayesian Neural Networks
In
Optimization
Demonstration
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5 + 6 + 7 + 8
deepGTTM-I: local grouping boundary analyzer
In
Demos (Wed)
Demonstration
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5 + 6 + 7 + 8
Nullhop: Flexibly efficient FPGA CNN accelerator driven by DAVIS neuromorphic vision sensor
In
Demos (Wed)
Demonstration
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5 + 6 + 7 + 8
Biometric applications of CNNs: get a job at "Impending Technologies"!
In
Demos (Wed)
Demonstration
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5 + 6 + 7 + 8
End-to-End Web Navigation
In
Demos (Wed)
Demonstration
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5 + 6 + 7 + 8
Interactive musical improvisation with Magenta
In
Demos (Wed)
Demonstration
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5 + 6 + 7 + 8
Automated simulation and replication of fMRI experiments
In
Demos (Wed)
Demonstration
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5 + 6 + 7 + 8
Adventures with Deep Generator Networks
In
Demos (Wed)
Demonstration
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5 + 6 + 7 + 8
Adapting Microsoft's CNTK and ResNet-18 to Enable Strong-Scaling on Cray Systems
In
Demos (Wed)
Demonstration
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5 + 6 + 7 + 8
Realistic Virtual Worlds and Human Actions for Video Understanding
In
Demos (Wed)
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #1
Fast Mixing Markov Chains for Strongly Rayleigh Measures, DPPs, and Constrained Sampling
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #2
Unsupervised Learning of 3D Structure from Images
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #3
The Multiple Quantile Graphical Model
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #4
Unsupervised Learning from Noisy Networks with Applications to Hi-C Data
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #5
Towards Unifying Hamiltonian Monte Carlo and Slice Sampling
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #6
Differential Privacy without Sensitivity
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #7
Generalized Correspondence-LDA Models (GC-LDA) for Identifying Functional Regions in the Brain
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #8
Kronecker Determinantal Point Processes
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #9
Variance Reduction in Stochastic Gradient Langevin Dynamics
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #10
Online Pricing with Strategic and Patient Buyers
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #11
Exploiting the Structure: Stochastic Gradient Methods Using Raw Clusters
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #12
Clustering Signed Networks with the Geometric Mean of Laplacians
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #13
Robust Spectral Detection of Global Structures in the Data by Learning a Regularization
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #14
Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #15
Launch and Iterate: Reducing Prediction Churn
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #16
Data Poisoning Attacks on Factorization-Based Collaborative Filtering
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #17
Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #18
Optimal Architectures in a Solvable Model of Deep Networks
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #19
Scalable Adaptive Stochastic Optimization Using Random Projections
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #20
Spectral Learning of Dynamic Systems from Nonequilibrium Data
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #21
Local Minimax Complexity of Stochastic Convex Optimization
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #22
A Theoretically Grounded Application of Dropout in Recurrent Neural Networks
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #24
A Communication-Efficient Parallel Algorithm for Decision Tree
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #25
Leveraging Sparsity for Efficient Submodular Data Summarization
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #26
Avoiding Imposters and Delinquents: Adversarial Crowdsourcing and Peer Prediction
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #27
Designing smoothing functions for improved worst-case competitive ratio in online optimization
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #28
The Forget-me-not Process
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #29
Generating Videos with Scene Dynamics
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #30
The Robustness of Estimator Composition
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #31
Improved Deep Metric Learning with Multi-class N-pair Loss Objective
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #32
Preference Completion from Partial Rankings
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #33
Bayesian optimization under mixed constraints with a slack-variable augmented Lagrangian
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #34
Privacy Odometers and Filters: Pay-as-you-Go Composition
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #35
Large Margin Discriminant Dimensionality Reduction in Prediction Space
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #36
Tight Complexity Bounds for Optimizing Composite Objectives
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #37
Automatic Neuron Detection in Calcium Imaging Data Using Convolutional Networks
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #38
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #39
Conditional Image Generation with PixelCNN Decoders
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #40
Natural-Parameter Networks: A Class of Probabilistic Neural Networks
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #41
Long-term Causal Effects via Behavioral Game Theory
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #42
PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #43
A Probabilistic Programming Approach To Probabilistic Data Analysis
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #44
Learning Bayesian networks with ancestral constraints
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #45
Solving Random Systems of Quadratic Equations via Truncated Generalized Gradient Flow
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #46
Balancing Suspense and Surprise: Timely Decision Making with Endogenous Information Acquisition
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #47
Structure-Blind Signal Recovery
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #48
Spatiotemporal Residual Networks for Video Action Recognition
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #49
CMA-ES with Optimal Covariance Update and Storage Complexity
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #50
Latent Attention For If-Then Program Synthesis
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #51
The Sound of APALM Clapping: Faster Nonsmooth Nonconvex Optimization with Stochastic Asynchronous PALM
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #52
An Efficient Streaming Algorithm for the Submodular Cover Problem
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #53
Attend, Infer, Repeat: Fast Scene Understanding with Generative Models
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #54
An ensemble diversity approach to supervised binary hashing
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #55
End-to-End Goal-Driven Web Navigation
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #56
The Power of Adaptivity in Identifying Statistical Alternatives
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #57
A Probabilistic Framework for Deep Learning
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #58
Minimax Estimation of Maximum Mean Discrepancy with Radial Kernels
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #59
Adaptive Neural Compilation
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #60
Tagger: Deep Unsupervised Perceptual Grouping
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #61
A scaled Bregman theorem with applications
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #62
Learning feed-forward one-shot learners
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #63
Error Analysis of Generalized Nyström Kernel Regression
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #64
Breaking the Bandwidth Barrier: Geometrical Adaptive Entropy Estimation
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #65
Asynchronous Parallel Greedy Coordinate Descent
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #66
Structured Prediction Theory Based on Factor Graph Complexity
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #67
Parameter Learning for Log-supermodular Distributions
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #68
Exact Recovery of Hard Thresholding Pursuit
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #69
New Liftable Classes for First-Order Probabilistic Inference
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #70
Variational Inference in Mixed Probabilistic Submodular Models
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #71
Unifying Count-Based Exploration and Intrinsic Motivation
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #72
Approximate maximum entropy principles via Goemans-Williamson with applications to provable variational methods
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #73
A Multi-step Inertial Forward-Backward Splitting Method for Non-convex Optimization
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #74
Fast and Flexible Monotonic Functions with Ensembles of Lattices
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #75
Architectural Complexity Measures of Recurrent Neural Networks
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #76
Online Convex Optimization with Unconstrained Domains and Losses
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #77
Split LBI: An Iterative Regularization Path with Structural Sparsity
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #78
Variational Autoencoder for Deep Learning of Images, Labels and Captions
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #79
Recovery Guarantee of Non-negative Matrix Factorization via Alternating Updates
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #80
Proximal Deep Structured Models
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #81
Safe Policy Improvement by Minimizing Robust Baseline Regret
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #82
A Pseudo-Bayesian Algorithm for Robust PCA
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #83
Learning values across many orders of magnitude
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #84
Single Pass PCA of Matrix Products
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #85
Convolutional Neural Fabrics
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #86
Generative Shape Models: Joint Text Recognition and Segmentation with Very Little Training Data
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #87
Mixed vine copulas as joint models of spike counts and local field potentials
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #88
Optimal Black-Box Reductions Between Optimization Objectives
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #89
Dialog-based Language Learning
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #90
Online Bayesian Moment Matching for Topic Modeling with Unknown Number of Topics
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #91
A Sparse Interactive Model for Matrix Completion with Side Information
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #92
Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #93
On Mixtures of Markov Chains
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #94
High Dimensional Structured Superposition Models
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #95
Finite Sample Prediction and Recovery Bounds for Ordinal Embedding
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #96
What Makes Objects Similar: A Unified Multi-Metric Learning Approach
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #97
Unsupervised Learning of Spoken Language with Visual Context
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #98
Cyclades: Conflict-free Asynchronous Machine Learning
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #99
Disease Trajectory Maps
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #100
Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #101
Stochastic Structured Prediction under Bandit Feedback
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #102
Learning under uncertainty: a comparison between R-W and Bayesian approach
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #103
Minimax Optimal Alternating Minimization for Kernel Nonparametric Tensor Learning
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #104
On the Recursive Teaching Dimension of VC Classes
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #105
Dimension-Free Iteration Complexity of Finite Sum Optimization Problems
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #106
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #107
Low-Rank Regression with Tensor Responses
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #108
Double Thompson Sampling for Dueling Bandits
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #109
Linear dynamical neural population models through nonlinear embeddings
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #110
Regret Bounds for Non-decomposable Metrics with Missing Labels
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #111
Dynamic matrix recovery from incomplete observations under an exact low-rank constraint
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #112
Rényi Divergence Variational Inference
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #113
Confusions over Time: An Interpretable Bayesian Model to Characterize Trends in Decision Making
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #114
Adaptive Averaging in Accelerated Descent Dynamics
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #115
Bayesian Optimization for Probabilistic Programs
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #116
Efficient Globally Convergent Stochastic Optimization for Canonical Correlation Analysis
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #117
A Unified Approach for Learning the Parameters of Sum-Product Networks
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #118
Feature-distributed sparse regression: a screen-and-clean approach
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #119
Backprop KF: Learning Discriminative Deterministic State Estimators
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #120
Swapout: Learning an ensemble of deep architectures
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #121
Assortment Optimization Under the Mallows model
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #122
Operator Variational Inference
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #123
Select-and-Sample for Spike-and-Slab Sparse Coding
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #124
Fast recovery from a union of subspaces
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #125
Ladder Variational Autoencoders
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #126
SPALS: Fast Alternating Least Squares via Implicit Leverage Scores Sampling
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #127
CRF-CNN: Modeling Structured Information in Human Pose Estimation
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #128
A Consistent Regularization Approach for Structured Prediction
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #129
Refined Lower Bounds for Adversarial Bandits
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #130
Learning Deep Embeddings with Histogram Loss
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #131
Solving Marginal MAP Problems with NP Oracles and Parity Constraints
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #132
Kernel Bayesian Inference with Posterior Regularization
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #133
Learning Influence Functions from Incomplete Observations
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #134
General Tensor Spectral Co-clustering for Higher-Order Data
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #135
Bayesian latent structure discovery from multi-neuron recordings
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #136
Estimating the Size of a Large Network and its Communities from a Random Sample
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #137
Wasserstein Training of Restricted Boltzmann Machines
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #138
Deep ADMM-Net for Compressive Sensing MRI
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #139
Maximization of Approximately Submodular Functions
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #140
Combining Low-Density Separators with CNNs
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #141
Learning Sensor Multiplexing Design through Back-propagation
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #142
High resolution neural connectivity from incomplete tracing data using nonnegative spline regression
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #143
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #144
Learning Sparse Gaussian Graphical Models with Overlapping Blocks
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #145
Multi-step learning and underlying structure in statistical models
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #146
Dynamic Network Surgery for Efficient DNNs
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #147
Active Nearest-Neighbor Learning in Metric Spaces
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #148
Discriminative Gaifman Models
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #149
Professor Forcing: A New Algorithm for Training Recurrent Networks
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #150
Pruning Random Forests for Prediction on a Budget
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #151
Multistage Campaigning in Social Networks
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #152
Coevolutionary Latent Feature Processes for Continuous-Time User-Item Interactions
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #153
Coordinate-wise Power Method
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #154
Barzilai-Borwein Step Size for Stochastic Gradient Descent
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #155
Fast learning rates with heavy-tailed losses
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #156
CliqueCNN: Deep Unsupervised Exemplar Learning
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #157
Guided Policy Search via Approximate Mirror Descent
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #158
Structured Sparse Regression via Greedy Hard Thresholding
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #159
Learning in Games: Robustness of Fast Convergence
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #160
Measuring the reliability of MCMC inference with bidirectional Monte Carlo
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #161
Average-case hardness of RIP certification
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #162
Provable Efficient Online Matrix Completion via Non-convex Stochastic Gradient Descent
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #163
Infinite Hidden Semi-Markov Modulated Interaction Point Process
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #164
Linear Contextual Bandits with Knapsacks
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #165
Selective inference for group-sparse linear models
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #166
Deep Neural Networks with Inexact Matching for Person Re-Identification
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #167
Accelerating Stochastic Composition Optimization
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #168
Learning Bound for Parameter Transfer Learning
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #169
Can Active Memory Replace Attention?
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #170
Understanding the Effective Receptive Field in Deep Convolutional Neural Networks
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #171
Local Similarity-Aware Deep Feature Embedding
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #172
End-to-End Kernel Learning with Supervised Convolutional Kernel Networks
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #173
Single-Image Depth Perception in the Wild
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #174
Without-Replacement Sampling for Stochastic Gradient Methods
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #174
Toward Deeper Understanding of Neural Networks: The Power of Initialization and a Dual View on Expressivity
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #200
R-FCN: Object Detection via Region-based Fully Convolutional Networks
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #175
Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #176
Learning What and Where to Draw
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #176
Consistent Estimation of Functions of Data Missing Non-Monotonically and Not at Random
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #177
Stochastic Online AUC Maximization
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #178
Deep Learning without Poor Local Minima
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #179
Regularized Nonlinear Acceleration
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #180
Learning to Poke by Poking: Experiential Learning of Intuitive Physics
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #181
Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #182
Linear-Memory and Decomposition-Invariant Linearly Convergent Conditional Gradient Algorithm for Structured Polytopes
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #183
Achieving the KS threshold in the general stochastic block model with linearized acyclic belief propagation
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #184
Orthogonal Random Features
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #185
Universal Correspondence Network
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #186
The Multiscale Laplacian Graph Kernel
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #187
Generalization of ERM in Stochastic Convex Optimization: The Dimension Strikes Back
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #188
Large-Scale Price Optimization via Network Flow
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #189
Bayesian Optimization with Robust Bayesian Neural Networks
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #190
Protein contact prediction from amino acid co-evolution using convolutional networks for graph-valued images
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #191
Supervised Word Mover's Distance
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #192
Beyond Exchangeability: The Chinese Voting Process
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #193
Poisson-Gamma dynamical systems
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #194
Interpretable Distribution Features with Maximum Testing Power
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #195
Dense Associative Memory for Pattern Recognition
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #196
Relevant sparse codes with variational information bottleneck
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #197
Examples are not enough, learn to criticize! Criticism for Interpretability
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #198
Showing versus doing: Teaching by demonstration
Invited Talk
Thu Dec 8th 09:00 -- 09:50 AM @ Area 1 + 2
Learning About the Brain: Neuroimaging and Beyond
Invited Talk (Breiman Lecture)
Thu Dec 8th 09:50 -- 10:40 AM @ Area 1 + 2
Reproducible Research: the Case of the Human Microbiome
Oral
Thu Dec 8th 11:10 -- 11:30 AM @ Area 1 + 2
Interpretable Distribution Features with Maximum Testing Power
Oral
Thu Dec 8th 11:10 -- 11:30 AM @ Area 3
Showing versus doing: Teaching by demonstration
Oral
Thu Dec 8th 11:30 -- 11:50 AM @ Area 1 + 2
Examples are not enough, learn to criticize! Criticism for Interpretability
Oral
Thu Dec 8th 11:30 -- 11:50 AM @ Area 3
Relevant sparse codes with variational information bottleneck
Oral
Thu Dec 8th 11:50 AM -- 12:10 PM @ Area 3
Dense Associative Memory for Pattern Recognition
Symposium
Thu Dec 8th 02:00 -- 09:30 PM @ Area 3
Recurrent Neural Networks and Other Machines that Learn Algorithms
In
Symposia
Workshop
Fri Dec 9th 08:00 AM -- 06:30 PM @ Room 211
Brains and Bits: Neuroscience meets Machine Learning
Workshop
Fri Dec 9th 08:00 AM -- 06:30 PM @ Area 7 + 8
Efficient Methods for Deep Neural Networks
Workshop
Fri Dec 9th 08:00 AM -- 06:30 PM @ AC Barcelona Hotel - Barcelona Room
Practical Bayesian Nonparametrics
Workshop
Fri Dec 9th 08:00 AM -- 06:30 PM @ Room 114
Representation Learning in Artificial and Biological Neural Networks
Workshop
Fri Dec 9th 08:00 AM -- 06:30 PM @ Area 2
Learning in High Dimensions with Structure
Workshop
Fri Dec 9th 08:00 AM -- 06:30 PM @ Room 120 + 121
Crowdsourcing and Machine Learning
Workshop
Fri Dec 9th 08:00 AM -- 06:30 PM @ Area 5 + 6
Nonconvex Optimization for Machine Learning: Theory and Practice
Workshop
Fri Dec 9th 08:00 AM -- 06:30 PM @ Room 111
Extreme Classification: Multi-class and Multi-label Learning in Extremely Large Label Spaces
Workshop
Fri Dec 9th 08:00 AM -- 06:30 PM @ Room 116
Machine Learning for Health
Workshop
Fri Dec 9th 08:00 AM -- 06:30 PM @ AC Barcelona, Sagrada Familia
Interpretable Machine Learning for Complex Systems
Workshop
Fri Dec 9th 08:00 AM -- 06:30 PM @ Room 124 + 125
Machine Learning for Intelligent Transportation Systems
Workshop
Fri Dec 9th 08:00 AM -- 06:30 PM @ Room 127 + 128
Imperfect Decision Makers: Admitting Real-World Rationality
Workshop
Fri Dec 9th 08:00 AM -- 06:30 PM @ Room 133 + 134
Learning, Inference and Control of Multi-Agent Systems
Workshop
Fri Dec 9th 08:00 AM -- 06:30 PM @ Room 113
Reliable Machine Learning in the Wild
Workshop
Fri Dec 9th 08:00 AM -- 06:30 PM @ Hilton Diag. Mar, Blrm. B
Cognitive Computation: Integrating Neural and Symbolic Approaches
Workshop
Fri Dec 9th 08:00 AM -- 06:30 PM @ Room 212
Machine Intelligence @ NIPS
Workshop
Fri Dec 9th 08:00 AM -- 06:30 PM @ Room 129 + 130
Challenges in Machine Learning: Gaming and Education
Workshop
Fri Dec 9th 08:00 AM -- 06:30 PM @ Room 122 + 123
Adaptive Data Analysis
Workshop
Fri Dec 9th 08:00 AM -- 06:30 PM @ Room 131 + 132
Private Multi-Party Machine Learning
Workshop
Fri Dec 9th 08:00 AM -- 06:30 PM @ Hilton Diag. Mar, Blrm. C
Intuitive Physics
Workshop
Fri Dec 9th 08:00 AM -- 06:30 PM @ Room 112
Advances in Approximate Bayesian Inference
Workshop
Fri Dec 9th 08:00 AM -- 06:30 PM @ Hilton Diag. Mar, Blrm. A
The Future of Interactive Machine Learning
Workshop
Fri Dec 9th 12:00 -- 02:00 PM @ VIP Room
People and machines: Public views on machine learning, and what this means for machine learning researchers
Workshop
Fri Dec 9th 02:30 -- 06:30 PM @ VIP Room
Neurorobotics: A Chance for New Ideas, Algorithms and Approaches
Workshop
Sat Dec 10th 08:00 AM -- 06:30 PM @ Area 5 + 6
Learning with Tensors: Why Now and How?
Workshop
Sat Dec 10th 08:00 AM -- 06:30 PM @ Room 114
Towards an Artificial Intelligence for Data Science
Workshop
Sat Dec 10th 08:00 AM -- 06:30 PM @ Room 111
Large Scale Computer Vision Systems
Workshop
Sat Dec 10th 08:00 AM -- 06:30 PM @ Hilton Diag. Mar, Blrm. A
End-to-end Learning for Speech and Audio Processing
Workshop
Sat Dec 10th 08:00 AM -- 06:30 PM @ Room 129 + 130
Machine Learning for Education
Workshop
Sat Dec 10th 08:00 AM -- 06:30 PM @ Room 133 + 134
"What If?" Inference and Learning of Hypothetical and Counterfactual Interventions in Complex Systems
Workshop
Sat Dec 10th 08:00 AM -- 06:30 PM @ Room 122 + 123
Computing with Spikes
Workshop
Sat Dec 10th 08:00 AM -- 06:30 PM @ Area 1
Bayesian Deep Learning
Workshop
Sat Dec 10th 08:00 AM -- 06:30 PM @ Hilton Diag. Mar, Blrm. B
Machine Learning for Spatiotemporal Forecasting
Workshop
Sat Dec 10th 08:00 AM -- 06:30 PM @ Area 3
Deep Learning for Action and Interaction
Workshop
Sat Dec 10th 08:00 AM -- 06:30 PM @ Room 120 + 121
Adaptive and Scalable Nonparametric Methods in Machine Learning
Workshop
Sat Dec 10th 08:00 AM -- 06:30 PM @ Room 127 + 128
Constructive Machine Learning
Workshop
Sat Dec 10th 08:00 AM -- 06:30 PM @ Room 112
OPT 2016: Optimization for Machine Learning
Workshop
Sat Dec 10th 08:00 AM -- 06:30 PM @ VIP Room
Neurorobotics: A Chance for New Ideas, Algorithms and Approaches (2nd day)
Workshop
Sat Dec 10th 08:00 AM -- 06:30 PM @ Room 115
The Future of Gradient-Based Machine Learning Software
Workshop
Sat Dec 10th 08:00 AM -- 06:30 PM @ Room 117
Bayesian Optimization: Black-box Optimization and Beyond
Workshop
Sat Dec 10th 08:00 AM -- 06:30 PM @ Room 113
Neural Abstract Machines & Program Induction
Workshop
Sat Dec 10th 08:00 AM -- 06:30 PM @ Room 131 + 132
Connectomics II: Opportunities and Challenges for Machine Learning
Workshop
Sat Dec 10th 08:00 AM -- 06:30 PM @ Area 7 + 8
Continual Learning and Deep Networks
Workshop
Sat Dec 10th 08:00 AM -- 06:30 PM @ Room 212
Machine Learning in Computational Biology
Workshop
Sat Dec 10th 08:00 AM -- 06:30 PM @ Room 211
Brains and Bits: Neuroscience meets Machine Learning (2nd day)
Workshop
Sat Dec 10th 08:00 AM -- 06:30 PM @ Hilton Diag. Mar, Blrm. C
Let's Discuss: Learning Methods for Dialogue
Workshop
Sat Dec 10th 08:00 AM -- 06:30 PM @ Room 116
Machine Learning Systems
