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Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
The Complexity of Finding Stationary Points with Stochastic Gradient Descent
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Predictive Coding for Locally-Linear Control
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Learning to Rank Learning Curves
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Frequency Bias in Neural Networks for Input of Non-Uniform Density
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Aggregation of Multiple Knockoffs
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Bisection-Based Pricing for Repeated Contextual Auctions against Strategic Buyer
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Optimistic Bounds for Multi-output Learning
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Supervised Quantile Normalization for Low Rank Matrix Factorization
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Revisiting Training Strategies and Generalization Performance in Deep Metric Learning
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Conditional gradient methods for stochastically constrained convex minimization
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Extra-gradient with player sampling for faster convergence in n-player games
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Data-Efficient Image Recognition with Contrastive Predictive Coding
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT) @ Virtual
Graph-based Nearest Neighbor Search: From Practice to Theory
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Monte-Carlo Tree Search as Regularized Policy Optimization
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Near-optimal Regret Bounds for Stochastic Shortest Path
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Efficient Robustness Certificates for Discrete Data: Sparsity-Aware Randomized Smoothing for Graphs, Images and More
Poster
Thu Jul 16 12:00 PM -- 12:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
A quantile-based approach for hyperparameter transfer learning
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Stochastic Subspace Cubic Newton Method
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT) @ Virtual
Stochastic Latent Residual Video Prediction
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Neural Topic Modeling with Continual Lifelong Learning
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Graph Filtration Learning
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Stochastic Differential Equations with Variational Wishart Diffusions
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Spectral Clustering with Graph Neural Networks for Graph Pooling
Poster
Thu Jul 16 01:00 PM -- 01:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Predicting Choice with Set-Dependent Aggregation
Poster
Thu Jul 16 02:00 PM -- 02:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Scalable Gaussian Process Separation for Kernels with a Non-Stationary Phase
Poster
Thu Jul 16 02:00 PM -- 02:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Anderson Acceleration of Proximal Gradient Methods
Poster
Thu Jul 16 02:00 PM -- 02:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Extrapolation for Large-batch Training in Deep Learning
Poster
Thu Jul 16 02:00 PM -- 02:45 PM & Fri Jul 17 01:00 AM -- 01:45 AM (PDT)
Inducing and Exploiting Activation Sparsity for Fast Inference on Deep Neural Networks
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