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Theory

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Papers

A Contraction Approach to Model-based Reinforcement Learning AISTATS 2021
Fast Learning in Reproducing Kernel Krein Spaces via Signed Measures AISTATS 2021
Geometrically Enriched Latent Spaces AISTATS 2021
Sample Complexity Bounds for Two Timescale Value-based Reinforcement Learning Algorithms AISTATS 2021
Regularization Matters: A Nonparametric Perspective on Overparametrized Neural Network AISTATS 2021
Provable Hierarchical Imitation Learning via EM AISTATS 2021
Parametric Programming Approach for More Powerful and General Lasso Selective Inference AISTATS 2021
Interpretable Random Forests via Rule Extraction AISTATS 2021
The Unexpected Deterministic and Universal Behavior of Large Softmax Classifiers AISTATS 2021
Learning with Hyperspherical Uniformity AISTATS 2021
Provably Safe PAC-MDP Exploration Using Analogies AISTATS 2021
Goodness-of-Fit Test for Mismatched Self-Exciting Processes AISTATS 2021
Problem-Complexity Adaptive Model Selection for Stochastic Linear Bandits AISTATS 2021
Robust Mean Estimation on Highly Incomplete Data with Arbitrary Outliers AISTATS 2021
Near-Optimal Provable Uniform Convergence in Offline Policy Evaluation for Reinforcement Learning AISTATS 2021
Deep Neural Networks Are Congestion Games: From Loss Landscape to Wardrop Equilibrium and Beyond AISTATS 2021
Noisy Gradient Descent Converges to Flat Minima for Nonconvex Matrix Factorization AISTATS 2021
The Minecraft Kernel: Modelling correlated Gaussian Processes in the Fourier domain AISTATS 2021
Localizing Changes in High-Dimensional Regression Models AISTATS 2021
Implicit Regularization via Neural Feature Alignment AISTATS 2021
On the Consistency of Metric and Non-Metric K-Medoids AISTATS 2021
Minimax Optimal Regression over Sobolev Spaces via Laplacian Regularization on Neighborhood Graphs AISTATS 2021
Beyond Perturbation Stability: LP Recovery Guarantees for MAP Inference on Noisy Stable Instances AISTATS 2021
Uniform Consistency of Cross-Validation Estimators for High-Dimensional Ridge Regression AISTATS 2021
A Dynamical View on Optimization Algorithms of Overparameterized Neural Networks AISTATS 2021