sample complexity

Private Mean Estimation of Heavy-Tailed Distributions COLT 2020 Private Query Release Assisted by Public Data ICML 2020 Proper Learning, Helly Number, and an Optimal SVM Bound COLT 2020 Provable Representation Learning for Imitation Learning via Bi-level Optimization ICML 2020 Provably Efficient Exploration for Reinforcement Learning Using Unsupervised Learning NeurIPS 2020 Provably efficient reinforcement learning with linear function approximation COLT 2020 Providing Uncertainty-Based Advice for Deep Reinforcement Learning Agents (Student Abstract) AAAI 2020 Q-learning with UCB Exploration is Sample Efficient for Infinite-Horizon MDP ICLR 2020 Ranking Policy Gradient ICLR 2020 Reinforcement Learning with General Value Function Approximation: Provably Efficient Approach via Bounded Eluder Dimension NeurIPS 2020 Reinforcement Learning with Perturbed Rewards AAAI 2020 Revisiting the Sample Complexity of Sparse Spectrum Approximation of Gaussian Processes NeurIPS 2020 Reward-Free Exploration for Reinforcement Learning ICML 2020 Risk-Sensitive Reinforcement Learning: Near-Optimal Risk-Sample Tradeoff in Regret NeurIPS 2020 Robust guarantees for learning an autoregressive filter ALT 2020 Robust Outlier Arm Identification ICML 2020 Robust Policies via Mid-Level Visual Representations: An Experimental Study in Manipulation and Navigation CoRL 2020 Sample complexity and effective dimension for regression on manifolds NeurIPS 2020 Sample Complexity Bounds for 1-bit Compressive Sensing and Binary Stable Embeddings with Generative Priors ICML 2020 Sample complexity bounds for localized sketching AISTATS 2020 Sample Complexity Bounds for RNNs with Application to Combinatorial Graph Problems (Student Abstract) AAAI 2020 Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction NeurIPS 2020 Sample Complexity of Estimating the Policy Gradient for Nearly Deterministic Dynamical Systems AISTATS 2020 Sample Complexity of Kalman Filtering for Unknown Systems L4DC 2020 Sample Complexity of Reinforcement Learning using Linearly Combined Model Ensembles AISTATS 2020