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Oral
Fri Jul 13 12:00 AM -- 12:20 AM (KST) @ K1
Composable Planning with Attributes
Oral
Fri Jul 13 12:00 AM -- 12:20 AM (KST) @ Victoria
ContextNet: Deep learning for Star Galaxy Classification
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Oral
Fri Jul 13 12:00 AM -- 12:20 AM (KST) @ A3
Efficient Model-Based Deep Reinforcement Learning with Variational State Tabulation
Oral
Fri Jul 13 12:00 AM -- 12:20 AM (KST) @ A7
Synthesizing Programs for Images using Reinforced Adversarial Learning
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Oral
Fri Jul 13 12:00 AM -- 12:20 AM (KST) @ A6
SAFFRON: an Adaptive Algorithm for Online Control of the False Discovery Rate
Oral
Fri Jul 13 12:00 AM -- 12:20 AM (KST) @ K11
Representation Tradeoffs for Hyperbolic Embeddings
Oral
Fri Jul 13 12:00 AM -- 12:20 AM (KST) @ A1
An Efficient, Generalized Bellman Update For Cooperative Inverse Reinforcement Learning
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Oral
Fri Jul 13 12:00 AM -- 12:20 AM (KST) @ A5
Let’s be Honest: An Optimal No-Regret Framework for Zero-Sum Games
Oral
Fri Jul 13 12:20 AM -- 12:30 AM (KST) @ A9
Learning Compact Neural Networks with Regularization
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Oral
Fri Jul 13 12:20 AM -- 12:30 AM (KST) @ A5
Weakly Consistent Optimal Pricing Algorithms in Repeated Posted-Price Auctions with Strategic Buyer
Oral
Fri Jul 13 12:20 AM -- 12:30 AM (KST) @ A4
Distilling the Posterior in Bayesian Neural Networks
Oral
Fri Jul 13 12:20 AM -- 12:40 AM (KST) @ K1
Measuring abstract reasoning in neural networks
Oral
Fri Jul 13 12:20 AM -- 12:30 AM (KST) @ Victoria
Autoregressive Convolutional Neural Networks for Asynchronous Time Series
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Oral
Fri Jul 13 12:20 AM -- 12:40 AM (KST) @ A3
Deep Variational Reinforcement Learning for POMDPs
Oral
Fri Jul 13 12:20 AM -- 12:40 AM (KST) @ K11
Massively Parallel Algorithms and Hardness for Single-Linkage Clustering under $\ell_p$ Distances
Oral
Fri Jul 13 12:20 AM -- 12:30 AM (KST) @ A6
Open Category Detection with PAC Guarantees
Oral
Fri Jul 13 12:30 AM -- 12:40 AM (KST) @ Victoria
Hierarchical Multi-Label Classification Networks
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Oral
Fri Jul 13 12:30 AM -- 12:40 AM (KST) @ A1
Decoupling Gradient-Like Learning Rules from Representations
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Oral
Fri Jul 13 12:30 AM -- 12:40 AM (KST) @ A4
Bayesian Uncertainty Estimation for Batch Normalized Deep Networks
Oral
Fri Jul 13 12:30 AM -- 12:40 AM (KST) @ A5
Self-Bounded Prediction Suffix Tree via Approximate String Matching
Oral
Fri Jul 13 12:30 AM -- 12:40 AM (KST) @ A7
Max-Mahalanobis Linear Discriminant Analysis Networks
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Oral
Fri Jul 13 12:30 AM -- 12:40 AM (KST) @ A9
Riemannian Stochastic Recursive Gradient Algorithm with Retraction and Vector Transport and Its Convergence Analysis
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Oral
Fri Jul 13 12:30 AM -- 12:40 AM (KST) @ A6
Unbiased Objective Estimation in Predictive Optimization
Oral
Fri Jul 13 12:40 AM -- 12:50 AM (KST) @ A3
Recurrent Predictive State Policy Networks
Oral
Fri Jul 13 12:40 AM -- 12:50 AM (KST) @ Victoria
Nonparametric variable importance using an augmented neural network with multi-task learning
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Oral
Fri Jul 13 12:40 AM -- 12:50 AM (KST) @ A1
PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos
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Oral
Fri Jul 13 12:40 AM -- 12:50 AM (KST) @ A4
Noisy Natural Gradient as Variational Inference
Oral
Fri Jul 13 12:40 AM -- 12:50 AM (KST) @ A9
Low-Rank Riemannian Optimization on Positive Semidefinite Stochastic Matrices with Applications to Graph Clustering
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Oral
Fri Jul 13 12:40 AM -- 12:50 AM (KST) @ A5
Spatio-temporal Bayesian On-line Changepoint Detection with Model Selection
Oral
Fri Jul 13 12:40 AM -- 12:50 AM (KST) @ K1
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks
Oral
Fri Jul 13 12:40 AM -- 12:50 AM (KST) @ K11
Local Density Estimation in High Dimensions
Oral
Fri Jul 13 12:40 AM -- 12:50 AM (KST) @ A6
Goodness-of-fit Testing for Discrete Distributions via Stein Discrepancy
Oral
Fri Jul 13 12:50 AM -- 01:00 AM (KST) @ K1
Explicit Inductive Bias for Transfer Learning with Convolutional Networks
Oral
Fri Jul 13 12:50 AM -- 01:00 AM (KST) @ A9
Graphical Nonconvex Optimization via an Adaptive Convex Relaxation
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Oral
Fri Jul 13 12:50 AM -- 01:00 AM (KST) @ K11
Improving Sign Random Projections With Additional Information
Oral
Fri Jul 13 12:50 AM -- 01:00 AM (KST) @ A4
Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors
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Oral
Fri Jul 13 12:50 AM -- 01:00 AM (KST) @ A7
Reinforcing Adversarial Robustness using Model Confidence Induced by Adversarial Training
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Oral
Fri Jul 13 12:50 AM -- 01:00 AM (KST) @ Victoria
Knowledge Transfer with Jacobian Matching
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Oral
Fri Jul 13 12:50 AM -- 01:00 AM (KST) @ A3
Regret Minimization for Partially Observable Deep Reinforcement Learning
Oral
Fri Jul 13 12:50 AM -- 01:00 AM (KST) @ A1
Discovering and Removing Exogenous State Variables and Rewards for Reinforcement Learning
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Oral
Fri Jul 13 12:50 AM -- 01:00 AM (KST) @ A6
Towards Black-box Iterative Machine Teaching
Oral
Fri Jul 13 12:50 AM -- 01:00 AM (KST) @ A5
Learning Localized Spatio-Temporal Models From Streaming Data
Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #1
Large-Scale Sparse Inverse Covariance Estimation via Thresholding and Max-Det Matrix Completion
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #2
Robust and Scalable Models of Microbiome Dynamics
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #3
Explicit Inductive Bias for Transfer Learning with Convolutional Networks
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #4
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #5
Optimizing the Latent Space of Generative Networks
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #6
Theoretical Analysis of Image-to-Image Translation with Adversarial Learning
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #7
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #8
PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #9
Probabilistic Recurrent State-Space Models
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #10
Structured Variationally Auto-encoded Optimization
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #11
A Robust Approach to Sequential Information Theoretic Planning
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #12
Error Estimation for Randomized Least-Squares Algorithms via the Bootstrap
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #13
Distributed Asynchronous Optimization with Unbounded Delays: How Slow Can You Go?
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #14
Error Compensated Quantized SGD and its Applications to Large-scale Distributed Optimization
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #15
Low-Rank Riemannian Optimization on Positive Semidefinite Stochastic Matrices with Applications to Graph Clustering
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #16
Dissecting Adam: The Sign, Magnitude and Variance of Stochastic Gradients
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #17
Discovering and Removing Exogenous State Variables and Rewards for Reinforcement Learning
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #18
Differentially Private Database Release via Kernel Mean Embeddings
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #19
Extracting Automata from Recurrent Neural Networks Using Queries and Counterexamples
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #20
Neural Dynamic Programming for Musical Self Similarity
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #21
Learning long term dependencies via Fourier recurrent units
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #22
Autoregressive Convolutional Neural Networks for Asynchronous Time Series
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #23
Efficient Model-Based Deep Reinforcement Learning with Variational State Tabulation
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #24
Regret Minimization for Partially Observable Deep Reinforcement Learning
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #25
Goodness-of-fit Testing for Discrete Distributions via Stein Discrepancy
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #26
Unbiased Objective Estimation in Predictive Optimization
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #27
Ultra Large-Scale Feature Selection using Count-Sketches
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #28
Matrix Norms in Data Streams: Faster, Multi-Pass and Row-Order
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #29
Can Deep Reinforcement Learning Solve Erdos-Selfridge-Spencer Games?
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #30
The Mirage of Action-Dependent Baselines in Reinforcement Learning
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #31
Composite Marginal Likelihood Methods for Random Utility Models
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #32
Ranking Distributions based on Noisy Sorting
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #33
DICOD: Distributed Convolutional Coordinate Descent for Convolutional Sparse Coding
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #34
Exploring Hidden Dimensions in Accelerating Convolutional Neural Networks
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #35
Deep Models of Interactions Across Sets
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #36
ContextNet: Deep learning for Star Galaxy Classification
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #37
First Order Generative Adversarial Networks
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #38
Max-Mahalanobis Linear Discriminant Analysis Networks
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #39
Learning Maximum-A-Posteriori Perturbation Models for Structured Prediction in Polynomial Time
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #40
Structured Output Learning with Abstention: Application to Accurate Opinion Prediction
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #41
SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #42
Smoothed Action Value Functions for Learning Gaussian Policies
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #43
Towards End-to-End Prosody Transfer for Expressive Speech Synthesis with Tacotron
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #44
Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #45
AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #46
TAPAS: Tricks to Accelerate (encrypted) Prediction As a Service
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #47
End-to-End Learning for the Deep Multivariate Probit Model
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #48
Differentiable Dynamic Programming for Structured Prediction and Attention
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #49
Optimal Distributed Learning with Multi-pass Stochastic Gradient Methods
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #50
Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #51
SQL-Rank: A Listwise Approach to Collaborative Ranking
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #52
Extreme Learning to Rank via Low Rank Assumption
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #53
Adversarial Attack on Graph Structured Data
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #54
Reinforcing Adversarial Robustness using Model Confidence Induced by Adversarial Training
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #55
Closed-form Marginal Likelihood in Gamma-Poisson Matrix Factorization
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #56
Learning Binary Latent Variable Models: A Tensor Eigenpair Approach
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #57
Thompson Sampling for Combinatorial Semi-Bandits
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #58
Let’s be Honest: An Optimal No-Regret Framework for Zero-Sum Games
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #59
Deep Asymmetric Multi-task Feature Learning
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #60
Learn from Your Neighbor: Learning Multi-modal Mappings from Sparse Annotations
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #61
Stein Variational Message Passing for Continuous Graphical Models
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #62
Discrete-Continuous Mixtures in Probabilistic Programming: Generalized Semantics and Inference Algorithms
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #63
Towards Binary-Valued Gates for Robust LSTM Training
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #64
Fitting New Speakers Based on a Short Untranscribed Sample
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #65
Stochastic Variance-Reduced Policy Gradient
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #66
Convergent Tree Backup and Retrace with Function Approximation
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #67
Alternating Randomized Block Coordinate Descent
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #68
Shampoo: Preconditioned Stochastic Tensor Optimization
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #69
Stochastic Wasserstein Barycenters
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #70
Accelerating Natural Gradient with Higher-Order Invariance
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #71
Learning unknown ODE models with Gaussian processes
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #72
Constraining the Dynamics of Deep Probabilistic Models
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #73
Fast Decoding in Sequence Models Using Discrete Latent Variables
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #74
High Performance Zero-Memory Overhead Direct Convolutions
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #75
Approximate Leave-One-Out for Fast Parameter Tuning in High Dimensions
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #76
Improved large-scale graph learning through ridge spectral sparsification
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #77
Distilling the Posterior in Bayesian Neural Networks
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #78
Scalable approximate Bayesian inference for particle tracking data
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #79
Weakly Consistent Optimal Pricing Algorithms in Repeated Posted-Price Auctions with Strategic Buyer
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #80
Practical Contextual Bandits with Regression Oracles
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #81
Stochastic Variance-Reduced Hamilton Monte Carlo Methods
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #82
Asynchronous Stochastic Quasi-Newton MCMC for Non-Convex Optimization
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #83
GAIN: Missing Data Imputation using Generative Adversarial Nets
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #84
Synthesizing Programs for Images using Reinforced Adversarial Learning
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #85
Geometry Score: A Method For Comparing Generative Adversarial Networks
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #86
Addressing Function Approximation Error in Actor-Critic Methods
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #87
Fast Bellman Updates for Robust MDPs
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #88
Configurable Markov Decision Processes
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #89
Prediction Rule Reshaping
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #90
Dimensionality-Driven Learning with Noisy Labels
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #91
Learning Memory Access Patterns
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #92
Geodesic Convolutional Shape Optimization
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #93
Visualizing and Understanding Atari Agents
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #94
An Efficient, Generalized Bellman Update For Cooperative Inverse Reinforcement Learning
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #95
Is Generator Conditioning Causally Related to GAN Performance?
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #96
K-Beam Minimax: Efficient Optimization for Deep Adversarial Learning
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #97
Inductive Two-Layer Modeling with Parametric Bregman Transfer
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #98
Does Distributionally Robust Supervised Learning Give Robust Classifiers?
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #99
Understanding Generalization and Optimization Performance of Deep CNNs
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #100
The Multilinear Structure of ReLU Networks
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #101
Parallel and Streaming Algorithms for K-Core Decomposition
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #102
Fast Approximate Spectral Clustering for Dynamic Networks
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #103
Gradient Descent Learns One-hidden-layer CNN: Don't be Afraid of Spurious Local Minima
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #104
Neural Networks Should Be Wide Enough to Learn Disconnected Decision Regions
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #105
Greed is Still Good: Maximizing Monotone Submodular+Supermodular (BP) Functions
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #106
Black-box Adversarial Attacks with Limited Queries and Information
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #107
Using Inherent Structures to design Lean 2-layer RBMs
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #108
Not to Cry Wolf: Distantly Supervised Multitask Learning in Critical Care
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #109
Composable Planning with Attributes
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #110
Measuring abstract reasoning in neural networks
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Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #111
Projection-Free Online Optimization with Stochastic Gradient: From Convexity to Submodularity
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #112
Self-Bounded Prediction Suffix Tree via Approximate String Matching
In
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PDF]
Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #113
MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels
In
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PDF]
Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #114
Curriculum Learning by Transfer Learning: Theory and Experiments with Deep Networks
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #115
Composite Functional Gradient Learning of Generative Adversarial Models
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #116
LaVAN: Localized and Visible Adversarial Noise
In
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PDF]
Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #117
Approximation Guarantees for Adaptive Sampling
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #118
Constrained Interacting Submodular Groupings
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #119
Residual Unfairness in Fair Machine Learning from Prejudiced Data
In
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PDF]
Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #120
Adversarial Regression with Multiple Learners
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #121
Representation Tradeoffs for Hyperbolic Embeddings
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #122
Improving Sign Random Projections With Additional Information
In
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PDF]
Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #123
Bandits with Delayed, Aggregated Anonymous Feedback
In
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PDF]
Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #124
Make the Minority Great Again: First-Order Regret Bound for Contextual Bandits
In
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PDF]
Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #125
Learning Policy Representations in Multiagent Systems
In
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PDF]
Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #126
Learning to Coordinate with Coordination Graphs in Repeated Single-Stage Multi-Agent Decision Problems
In
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PDF]
Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #127
Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #128
Compressing Neural Networks using the Variational Information Bottelneck
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #129
Scalable Bilinear Pi Learning Using State and Action Features
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #130
Time Limits in Reinforcement Learning
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #131
Semi-Supervised Learning on Data Streams via Temporal Label Propagation
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #132
Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval and Matrix Completion
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #133
A Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical Models
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #134
Bucket Renormalization for Approximate Inference
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #135
Kernel Recursive ABC: Point Estimation with Intractable Likelihood
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #136
Modeling Others using Oneself in Multi-Agent Reinforcement Learning
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #137
Tropical Geometry of Deep Neural Networks
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #138
Learning Dynamics of Linear Denoising Autoencoders
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #139
Nonparametric variable importance using an augmented neural network with multi-task learning
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #140
Training Neural Machines with Trace-Based Supervision
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #141
Open Category Detection with PAC Guarantees
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #142
SAFFRON: an Adaptive Algorithm for Online Control of the False Discovery Rate
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #143
Learning Localized Spatio-Temporal Models From Streaming Data
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #144
Feasible Arm Identification
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #145
Fast Maximization of Non-Submodular, Monotonic Functions on the Integer Lattice
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #146
Decentralized Submodular Maximization: Bridging Discrete and Continuous Settings
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #147
Towards Fast Computation of Certified Robustness for ReLU Networks
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #148
A Two-Step Computation of the Exact GAN Wasserstein Distance
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #149
Spatio-temporal Bayesian On-line Changepoint Detection with Model Selection
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #150
Fast Stochastic AUC Maximization with $O(1/n)$-Convergence Rate
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #151
Accurate Uncertainties for Deep Learning Using Calibrated Regression
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #152
Neural Autoregressive Flows
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #153
Probabilistic Boolean Tensor Decomposition
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #154
A Primal-Dual Analysis of Global Optimality in Nonconvex Low-Rank Matrix Recovery
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #155
A Delay-tolerant Proximal-Gradient Algorithm for Distributed Learning
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #156
Randomized Block Cubic Newton Method
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #157
Massively Parallel Algorithms and Hardness for Single-Linkage Clustering under $\ell_p$ Distances
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #158
Local Density Estimation in High Dimensions
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #159
To Understand Deep Learning We Need to Understand Kernel Learning
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #160
Learning in Reproducing Kernel Kreı̆n Spaces
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #161
Functional Gradient Boosting based on Residual Network Perception
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #162
Binary Classification with Karmic, Threshold-Quasi-Concave Metrics
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #163
Characterizing Implicit Bias in Terms of Optimization Geometry
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #164
prDeep: Robust Phase Retrieval with a Flexible Deep Network
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #165
Adversarial Time-to-Event Modeling
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #166
MAGAN: Aligning Biological Manifolds
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #167
Multicalibration: Calibration for the (Computationally-Identifiable) Masses
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #168
Improving the Privacy and Accuracy of ADMM-Based Distributed Algorithms
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #169
PixelSNAIL: An Improved Autoregressive Generative Model
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #170
Focused Hierarchical RNNs for Conditional Sequence Processing
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #171
Noise2Noise: Learning Image Restoration without Clean Data
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #172
Learning to Reweight Examples for Robust Deep Learning
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #173
Policy and Value Transfer in Lifelong Reinforcement Learning
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #174
GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #175
A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #176
Understanding the Loss Surface of Neural Networks for Binary Classification
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #177
Dynamical Isometry and a Mean Field Theory of RNNs: Gating Enables Signal Propagation in Recurrent Neural Networks
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #178
Reviving and Improving Recurrent Back-Propagation
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #179
Riemannian Stochastic Recursive Gradient Algorithm with Retraction and Vector Transport and Its Convergence Analysis
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #180
Learning Compact Neural Networks with Regularization
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #181
Investigating Human Priors for Playing Video Games
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #182
Decoupling Gradient-Like Learning Rules from Representations
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #183
Invariance of Weight Distributions in Rectified MLPs
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #184
Stronger Generalization Bounds for Deep Nets via a Compression Approach
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #185
Near Optimal Frequent Directions for Sketching Dense and Sparse Matrices
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #186
Loss Decomposition for Fast Learning in Large Output Spaces
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #187
Stochastic Proximal Algorithms for AUC Maximization
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #188
Accelerated Spectral Ranking
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #189
Decomposition of Uncertainty in Bayesian Deep Learning for Efficient and Risk-sensitive Learning
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #190
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #191
Learning One Convolutional Layer with Overlapping Patches
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #192
A Spline Theory of Deep Learning
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #193
Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #194
Variational Bayesian dropout: pitfalls and fixes
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #195
Adversarial Learning with Local Coordinate Coding
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #196
Learning Representations and Generative Models for 3D Point Clouds
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #197
Bayesian Uncertainty Estimation for Batch Normalized Deep Networks
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #198
Noisy Natural Gradient as Variational Inference
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #199
Deep Variational Reinforcement Learning for POMDPs
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #200
Recurrent Predictive State Policy Networks
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #201
The Mechanics of n-Player Differentiable Games
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #202
Improved Training of Generative Adversarial Networks Using Representative Features
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #203
Hierarchical Multi-Label Classification Networks
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #204
Knowledge Transfer with Jacobian Matching
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #205
Towards Black-box Iterative Machine Teaching
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #206
Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #207
Importance Weighted Transfer of Samples in Reinforcement Learning
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #208
Beyond the One-Step Greedy Approach in Reinforcement Learning
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #209
Optimization, fast and slow: optimally switching between local and Bayesian optimization
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #210
Batch Bayesian Optimization via Multi-objective Acquisition Ensemble for Automated Analog Circuit Design
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #211
Graphical Nonconvex Optimization via an Adaptive Convex Relaxation
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #212
Approximate message passing for amplitude based optimization
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #213
Delayed Impact of Fair Machine Learning
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #214
Tempered Adversarial Networks
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #215
Fast Information-theoretic Bayesian Optimisation
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #216
Tight Regret Bounds for Bayesian Optimization in One Dimension
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #218
Kernelized Synaptic Weight Matrices
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #219
A Distributed Second-Order Algorithm You Can Trust
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #220
On Acceleration with Noise-Corrupted Gradients
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #221
Gradient Coding from Cyclic MDS Codes and Expander Graphs
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #222
Accelerating Greedy Coordinate Descent Methods
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #223
Finding Influential Training Samples for Gradient Boosted Decision Trees
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #224
Improving Regression Performance with Distributional Losses
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #225
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #226
Learning to Act in Decentralized Partially Observable MDPs
In
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Poster
Fri Jul 13 01:15 AM -- 04:00 AM (KST) @ Hall B #227
Local Convergence Properties of SAGA/Prox-SVRG and Acceleration
In
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Break
Fri Jul 13 02:30 AM -- 03:00 AM (KST) @ Hall B
Coffee Break
Break
Fri Jul 13 04:00 AM -- 05:30 AM (KST)
Lunch - on your own
Break
Fri Jul 13 07:30 AM -- 08:00 AM (KST) @ Hall B
Coffee Break
Break
Fri Jul 13 10:15 AM -- 11:15 AM (KST) @ Hall B
Light Evening Snack
Workshop
Fri Jul 13 03:30 PM -- 01:00 AM (KST) @ K23
31st International Workshop on Qualitative Reasoning (QR 2018)
Workshop
Fri Jul 13 03:30 PM -- 01:00 AM (KST) @ K24
6th Goal Reasoning Workshop
Workshop
Fri Jul 13 03:30 PM -- 01:00 AM (KST) @ T4
Computer Games Workshop
Workshop
Fri Jul 13 03:30 PM -- 01:00 AM (KST) @ K12
FCA4AI 2018
Workshop
Fri Jul 13 03:30 PM -- 01:00 AM (KST) @ B2
Joint Workshop on AI in Health (day 1)
Workshop
Fri Jul 13 03:30 PM -- 01:00 AM (KST) @ B9
Linguistic and Cognitive Approaches To Dialog Agents (LaCATODA 2018)
Workshop
Fri Jul 13 03:30 PM -- 07:30 PM (KST) @ K22
Tenth International Workshop Modelling and Reasoning in Context (MRC)
Workshop
Fri Jul 13 03:30 PM -- 01:00 AM (KST) @ B3
The 3rd International workshop on biomedical informatics with optimization and machine learning (BOOM)
Workshop
Fri Jul 13 03:30 PM -- 01:00 AM (KST) @ B5
The 3rd International Workshop on Knowledge Discovery in Healthcare Data
Workshop
Fri Jul 13 03:30 PM -- 01:00 AM (KST) @ T3
Towards learning with limited labels: Equivariance, Invariance, and Beyond
Workshop
Fri Jul 13 03:30 PM -- 01:00 AM (KST) @ K2
Fairness, Interpretability, and Explainability Federation of Workshops (day 1)
Workshop
Fri Jul 13 03:30 PM -- 01:00 AM (KST) @ K16
Autonomy in Teams -- Joint Workshop on Sharing Autonomy in Human-Robot Interaction
Session
Fri Jul 13 04:00 PM -- 04:20 PM (KST) @ A1
Test of Time Award
Oral
Fri Jul 13 04:30 PM -- 04:50 PM (KST) @ K11
Out-of-sample extension of graph adjacency spectral embedding
Oral
Fri Jul 13 04:30 PM -- 04:50 PM (KST) @ A7
Mixed batches and symmetric discriminators for GAN training
Oral
Fri Jul 13 04:30 PM -- 04:50 PM (KST) @ A3
Learning Registered Point Processes from Idiosyncratic Observations
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Oral
Fri Jul 13 04:30 PM -- 04:50 PM (KST) @ A9
Convergence guarantees for a class of non-convex and non-smooth optimization problems
[
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Oral
Fri Jul 13 04:30 PM -- 04:50 PM (KST) @ K1
Solving Partial Assignment Problems using Random Clique Complexes
Oral
Fri Jul 13 04:30 PM -- 04:50 PM (KST) @ Victoria
Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)
[
PDF]
Oral
Fri Jul 13 04:30 PM -- 04:50 PM (KST) @ A1
RLlib: Abstractions for Distributed Reinforcement Learning
[
PDF]
Oral
Fri Jul 13 04:30 PM -- 04:50 PM (KST) @ A5
Dynamic Regret of Strongly Adaptive Methods
Oral
Fri Jul 13 04:30 PM -- 04:50 PM (KST) @ A6
A Reductions Approach to Fair Classification
Oral
Fri Jul 13 04:30 PM -- 04:50 PM (KST) @ A4
Learning in Integer Latent Variable Models with Nested Automatic Differentiation
[
PDF]
Oral
Fri Jul 13 04:50 PM -- 05:00 PM (KST) @ K1
Generalized Earley Parser: Bridging Symbolic Grammars and Sequence Data for Future Prediction
Oral
Fri Jul 13 04:50 PM -- 05:00 PM (KST) @ A7
Mutual Information Neural Estimation
Oral
Fri Jul 13 04:50 PM -- 05:00 PM (KST) @ A5
Online Learning with Abstention
Oral
Fri Jul 13 04:50 PM -- 05:00 PM (KST) @ A4
Sound Abstraction and Decomposition of Probabilistic Programs
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Oral
Fri Jul 13 04:50 PM -- 05:00 PM (KST) @ Victoria
Learning equations for extrapolation and control
[
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Oral
Fri Jul 13 04:50 PM -- 05:10 PM (KST) @ A9
A Progressive Batching L-BFGS Method for Machine Learning
[
PDF]
Oral
Fri Jul 13 04:50 PM -- 05:10 PM (KST) @ A1
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
[
PDF]
Oral
Fri Jul 13 04:50 PM -- 05:00 PM (KST) @ K11
Bayesian Model Selection for Change Point Detection and Clustering
Oral
Fri Jul 13 04:50 PM -- 05:10 PM (KST) @ A6
Probably Approximately Metric-Fair Learning
Oral
Fri Jul 13 05:00 PM -- 05:10 PM (KST) @ K1
Video Prediction with Appearance and Motion Conditions
Oral
Fri Jul 13 05:00 PM -- 05:10 PM (KST) @ A7
Adversarially Regularized Autoencoders
Oral
Fri Jul 13 05:00 PM -- 05:10 PM (KST) @ K11
An Iterative, Sketching-based Framework for Ridge Regression
Oral
Fri Jul 13 05:00 PM -- 05:10 PM (KST) @ A5
Multi-Fidelity Black-Box Optimization with Hierarchical Partitions
Oral
Fri Jul 13 05:10 PM -- 05:20 PM (KST) @ K1
Neural Program Synthesis from Diverse Demonstration Videos
Oral
Fri Jul 13 05:10 PM -- 05:20 PM (KST) @ A5
Adaptive Exploration-Exploitation Tradeoff for Opportunistic Bandits
Oral
Fri Jul 13 05:10 PM -- 05:20 PM (KST) @ A4
The Edge Density Barrier: Computational-Statistical Tradeoffs in Combinatorial Inference
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Oral
Fri Jul 13 05:10 PM -- 05:20 PM (KST) @ A9
Gradient Primal-Dual Algorithm Converges to Second-Order Stationary Solution for Nonconvex Distributed Optimization Over Networks
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Oral
Fri Jul 13 05:10 PM -- 05:20 PM (KST) @ A3
Learning Hidden Markov Models from Pairwise Co-occurrences with Application to Topic Modeling
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Oral
Fri Jul 13 05:10 PM -- 05:20 PM (KST) @ A1
Mix & Match - Agent Curricula for Reinforcement Learning
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Oral
Fri Jul 13 05:10 PM -- 05:20 PM (KST) @ A7
JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets
Oral
Fri Jul 13 05:10 PM -- 05:20 PM (KST) @ A6
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness
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Oral
Fri Jul 13 05:10 PM -- 05:20 PM (KST) @ K11
Provable Variable Selection for Streaming Features
Oral
Fri Jul 13 05:20 PM -- 05:30 PM (KST) @ A9
Estimation of Markov Chain via Rank-constrained Likelihood
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Oral
Fri Jul 13 05:20 PM -- 05:30 PM (KST) @ A6
Blind Justice: Fairness with Encrypted Sensitive Attributes
Oral
Fri Jul 13 05:20 PM -- 05:30 PM (KST) @ K11
Learning Low-Dimensional Temporal Representations
Oral
Fri Jul 13 05:20 PM -- 05:30 PM (KST) @ A4
Temporal Poisson Square Root Graphical Models
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Oral
Fri Jul 13 05:20 PM -- 05:30 PM (KST) @ A5
Firing Bandits: Optimizing Crowdfunding
Oral
Fri Jul 13 05:20 PM -- 05:30 PM (KST) @ Victoria
Weightless: Lossy weight encoding for deep neural network compression
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Oral
Fri Jul 13 05:20 PM -- 05:30 PM (KST) @ A7
Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data
Oral
Fri Jul 13 06:00 PM -- 06:20 PM (KST) @ A6
Theoretical Analysis of Sparse Subspace Clustering with Missing Entries
Oral
Fri Jul 13 06:00 PM -- 06:20 PM (KST) @ A7
Junction Tree Variational Autoencoder for Molecular Graph Generation
Oral
Fri Jul 13 06:00 PM -- 06:20 PM (KST) @ K1
Spurious Local Minima are Common in Two-Layer ReLU Neural Networks
Oral
Fri Jul 13 06:00 PM -- 06:20 PM (KST) @ A9
A Conditional Gradient Framework for Composite Convex Minimization with Applications to Semidefinite Programming
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Oral
Fri Jul 13 06:00 PM -- 06:20 PM (KST) @ A1
Hierarchical Imitation and Reinforcement Learning
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Oral
Fri Jul 13 06:00 PM -- 06:20 PM (KST) @ A4
Scalable Gaussian Processes with Grid-Structured Eigenfunctions (GP-GRIEF)
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Oral
Fri Jul 13 06:00 PM -- 06:20 PM (KST) @ K11
Competitive Caching with Machine Learned Advice
Oral
Fri Jul 13 06:00 PM -- 06:20 PM (KST) @ A3
Learning Adversarially Fair and Transferable Representations
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Oral
Fri Jul 13 06:20 PM -- 06:40 PM (KST) @ A7
Semi-Amortized Variational Autoencoders
Oral
Fri Jul 13 06:20 PM -- 06:30 PM (KST) @ K11
Distributed Clustering via LSH Based Data Partitioning
Oral
Fri Jul 13 06:20 PM -- 06:40 PM (KST) @ A1
Using Reward Machines for High-Level Task Specification and Decomposition in Reinforcement Learning
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Oral
Fri Jul 13 06:20 PM -- 06:30 PM (KST) @ A3
Learning Semantic Representations for Unsupervised Domain Adaptation
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Oral
Fri Jul 13 06:20 PM -- 06:40 PM (KST) @ K1
Gradient descent with identity initialization efficiently learns positive definite linear transformations by deep residual networks
Oral
Fri Jul 13 06:20 PM -- 06:40 PM (KST) @ Victoria
Understanding and Simplifying One-Shot Architecture Search
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Oral
Fri Jul 13 06:20 PM -- 06:40 PM (KST) @ A4
State Space Gaussian Processes with Non-Gaussian Likelihood
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Oral
Fri Jul 13 06:20 PM -- 06:30 PM (KST) @ A6
Improved nearest neighbor search using auxiliary information and priority functions
Oral
Fri Jul 13 06:30 PM -- 06:40 PM (KST) @ K11
Learning to Branch
Oral
Fri Jul 13 06:30 PM -- 06:40 PM (KST) @ A6
QuantTree: Histograms for Change Detection in Multivariate Data Streams
Oral
Fri Jul 13 06:30 PM -- 06:40 PM (KST) @ A3
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
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Oral
Fri Jul 13 06:40 PM -- 06:50 PM (KST) @ K11
Compiling Combinatorial Prediction Games
Oral
Fri Jul 13 06:40 PM -- 06:50 PM (KST) @ A6
Topological mixture estimation
Oral
Fri Jul 13 06:40 PM -- 06:50 PM (KST) @ A4
Constant-Time Predictive Distributions for Gaussian Processes
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Oral
Fri Jul 13 06:40 PM -- 06:50 PM (KST) @ K1
On the Power of Over-parametrization in Neural Networks with Quadratic Activation
Oral
Fri Jul 13 06:40 PM -- 06:50 PM (KST) @ Victoria
Path-Level Network Transformation for Efficient Architecture Search
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Oral
Fri Jul 13 06:40 PM -- 06:50 PM (KST) @ A3
Rectify Heterogeneous Models with Semantic Mapping
Oral
Fri Jul 13 06:40 PM -- 06:50 PM (KST) @ A1
State Abstractions for Lifelong Reinforcement Learning
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Oral
Fri Jul 13 06:40 PM -- 06:50 PM (KST) @ A5
Minimax Concave Penalized Multi-Armed Bandit Model with High-Dimensional Covariates
Oral
Fri Jul 13 06:40 PM -- 06:50 PM (KST) @ A7
Iterative Amortized Inference
Oral
Fri Jul 13 06:50 PM -- 07:00 PM (KST) @ K11
Approximation Algorithms for Cascading Prediction Models
Oral
Fri Jul 13 06:50 PM -- 07:00 PM (KST) @ A4
Large-Scale Cox Process Inference using Variational Fourier Features
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Oral
Fri Jul 13 06:50 PM -- 07:00 PM (KST) @ A3
Detecting and Correcting for Label Shift with Black Box Predictors
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Oral
Fri Jul 13 06:50 PM -- 07:00 PM (KST) @ A5
Racing Thompson: an Efficient Algorithm for Thompson Sampling with Non-conjugate Priors
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Oral
Fri Jul 13 06:50 PM -- 07:00 PM (KST) @ A7
DVAE++: Discrete Variational Autoencoders with Overlapping Transformations
Oral
Fri Jul 13 06:50 PM -- 07:00 PM (KST) @ A6
Revealing Common Statistical Behaviors in Heterogeneous Populations
Oral
Fri Jul 13 06:50 PM -- 07:00 PM (KST) @ K1
Optimization Landscape and Expressivity of Deep CNNs
Oral
Fri Jul 13 06:50 PM -- 07:00 PM (KST) @ Victoria
Learning Longer-term Dependencies in RNNs with Auxiliary Losses
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Invited Talk
Fri Jul 13 08:30 PM -- 09:30 PM (KST) @ A1
Language to Action: towards Interactive Task Learning with Physical Agents
Workshop
Fri Jul 13 09:00 PM -- 01:00 AM (KST) @ K22
Learning and Reasoning: Principles & Applications to Everyday Spatial and Temporal Knowledge (day 1)
Invited Talk
Fri Jul 13 09:30 PM -- 10:30 PM (KST) @ A1
Building Machines that Learn and Think Like People
Oral
Fri Jul 13 11:00 PM -- 11:20 PM (KST) @ K1
Efficient end-to-end learning for quantizable representations
Oral
Fri Jul 13 11:00 PM -- 11:20 PM (KST) @ Victoria
Progress & Compress: A scalable framework for continual learning
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Oral
Fri Jul 13 11:00 PM -- 11:20 PM (KST) @ A9
SADAGRAD: Strongly Adaptive Stochastic Gradient Methods
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Oral
Fri Jul 13 11:00 PM -- 11:20 PM (KST) @ K11
On the Spectrum of Random Features Maps of High Dimensional Data
Oral
Fri Jul 13 11:00 PM -- 11:20 PM (KST) @ A4
Stein Variational Gradient Descent Without Gradient
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Oral
Fri Jul 13 11:00 PM -- 11:20 PM (KST) @ A3
The Hidden Vulnerability of Distributed Learning in Byzantium
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Oral
Fri Jul 13 11:00 PM -- 11:20 PM (KST) @ A1
Global Convergence of Policy Gradient Methods for the Linear Quadratic Regulator
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Oral
Fri Jul 13 11:00 PM -- 11:20 PM (KST) @ A6
Candidates vs. Noises Estimation for Large Multi-Class Classification Problem
Oral
Fri Jul 13 11:00 PM -- 11:20 PM (KST) @ A7
Parallel WaveNet: Fast High-Fidelity Speech Synthesis
Oral
Fri Jul 13 11:20 PM -- 11:40 PM (KST) @ A3
Asynchronous Byzantine Machine Learning (the case of SGD)
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Oral
Fri Jul 13 11:20 PM -- 11:40 PM (KST) @ A5
Characterizing and Learning Equivalence Classes of Causal DAGs under Interventions
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Oral
Fri Jul 13 11:20 PM -- 11:30 PM (KST) @ K11
SMAC: Simultaneous Mapping and Clustering Using Spectral Decompositions
Oral
Fri Jul 13 11:20 PM -- 11:40 PM (KST) @ A4
Minibatch Gibbs Sampling on Large Graphical Models
Oral
Fri Jul 13 11:20 PM -- 11:30 PM (KST) @ K1
High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach
Oral
Fri Jul 13 11:20 PM -- 11:30 PM (KST) @ A9
Level-Set Methods for Finite-Sum Constrained Convex Optimization
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Oral
Fri Jul 13 11:20 PM -- 11:40 PM (KST) @ Victoria
Overcoming Catastrophic Forgetting with Hard Attention to the Task
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Oral
Fri Jul 13 11:20 PM -- 11:30 PM (KST) @ A1
Policy Optimization as Wasserstein Gradient Flows
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Oral
Fri Jul 13 11:20 PM -- 11:40 PM (KST) @ A7
Autoregressive Quantile Networks for Generative Modeling
Oral
Fri Jul 13 11:20 PM -- 11:30 PM (KST) @ A6
CRAFTML, an Efficient Clustering-based Random Forest for Extreme Multi-label Learning
Oral
Fri Jul 13 11:30 PM -- 11:40 PM (KST) @ K11
Spectrally Approximating Large Graphs with Smaller Graphs
Oral
Fri Jul 13 11:30 PM -- 11:40 PM (KST) @ A6
Attention-based Deep Multiple Instance Learning
Oral
Fri Jul 13 11:30 PM -- 11:40 PM (KST) @ K1
A Boo(n) for Evaluating Architecture Performance
Oral
Fri Jul 13 11:30 PM -- 11:40 PM (KST) @ A9
Local Convergence Properties of SAGA/Prox-SVRG and Acceleration
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Oral
Fri Jul 13 11:40 PM -- 11:50 PM (KST) @ A6
Learning and Memorization
Oral
Fri Jul 13 11:40 PM -- 11:50 PM (KST) @ A5
Budgeted Experiment Design for Causal Structure Learning
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Oral
Fri Jul 13 11:40 PM -- 11:50 PM (KST) @ A7
Stochastic Video Generation with a Learned Prior
Oral
Fri Jul 13 11:40 PM -- 11:50 PM (KST) @ A3
DRACO: Byzantine-resilient Distributed Training via Redundant Gradients
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Oral
Fri Jul 13 11:40 PM -- 11:50 PM (KST) @ K1
Entropy-SGD optimizes the prior of a PAC-Bayes bound: Generalization properties of Entropy-SGD and data-dependent priors
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Oral
Fri Jul 13 11:40 PM -- 11:50 PM (KST) @ Victoria
Rapid Adaptation with Conditionally Shifted Neurons
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Oral
Fri Jul 13 11:40 PM -- 11:50 PM (KST) @ A9
Continuous and Discrete-time Accelerated Stochastic Mirror Descent for Strongly Convex Functions
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Oral
Fri Jul 13 11:40 PM -- 11:50 PM (KST) @ K11
Submodular Hypergraphs: p-Laplacians, Cheeger Inequalities and Spectral Clustering
Oral
Fri Jul 13 11:50 PM -- 12:00 AM (KST) @ K11
Rates of Convergence of Spectral Methods for Graphon Estimation
Oral
Fri Jul 13 11:50 PM -- 12:00 AM (KST) @ A5
The Hierarchical Adaptive Forgetting Variational Filter
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Oral
Fri Jul 13 11:50 PM -- 12:00 AM (KST) @ A3
Communication-Computation Efficient Gradient Coding
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Oral
Fri Jul 13 11:50 PM -- 12:00 AM (KST) @ A9
Fast Gradient-Based Methods with Exponential Rate: A Hybrid Control Framework
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Oral
Fri Jul 13 11:50 PM -- 12:00 AM (KST) @ K1
On the Limitations of First-Order Approximation in GAN Dynamics
Oral
Fri Jul 13 11:50 PM -- 12:00 AM (KST) @ Victoria
Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace
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Oral
Fri Jul 13 11:50 PM -- 12:00 AM (KST) @ A7
Disentangled Sequential Autoencoder
Oral
Fri Jul 13 11:50 PM -- 12:00 AM (KST) @ A6
Trainable Calibration Measures for Neural Networks from Kernel Mean Embeddings
Oral
Fri Jul 13 11:50 PM -- 12:00 AM (KST) @ A4
On the Theory of Variance Reduction for Stochastic Gradient Monte Carlo
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