Showing 1–20 of 163 results
/ Date/ Name
Jun 6, 2018Discrete-Continuous Mixtures in Probabilistic Programming: Generalized Semantics and Inference AlgorithmsMay 22, 2022Near-Optimal Algorithms for Autonomous Exploration and Multi-Goal Stochastic Shortest PathOct 29, 2017Stochastic Zeroth-order Optimization in High DimensionsMar 8, 2021Discovering Diverse Multi-Agent Strategic Behavior via Reward RandomizationSep 28, 2019DualSMC: Tunneling Differentiable Filtering and Planning under Continuous POMDPsJun 22, 2021A Reduction-Based Framework for Conservative Bandits and Reinforcement LearningJan 29, 2021Improved Variance-Aware Confidence Sets for Linear Bandits and Linear Mixture MDPJun 16, 2020$Q$-learning with Logarithmic RegretNov 3, 2019Enhanced Convolutional Neural Tangent KernelsJan 10, 2022When is Offline Two-Player Zero-Sum Markov Game Solvable?Nov 9, 2018Gradient Descent Finds Global Minima of Deep Neural NetworksFeb 19, 2019Global Convergence of Adaptive Gradient Methods for An Over-parameterized Neural NetworkJun 4, 2018Algorithmic Regularization in Learning Deep Homogeneous Models: Layers are Automatically BalancedMay 26, 2018Robust Nonparametric Regression under Huber's $ε$-contamination ModelOct 3, 2022Faster Last-iterate Convergence of Policy Optimization in Zero-Sum Markov GamesFeb 7, 2023Breaking the Curse of Multiagents in a Large State Space: RL in Markov Games with Independent Linear Function ApproximationJun 5, 2023Improved Active Multi-Task Representation Learning via LassoFeb 24, 2017Computationally Efficient Robust Estimation of Sparse FunctionalsDec 3, 2016Hypothesis Transfer Learning via Transformation FunctionsOct 11, 2021Towards Demystifying Representation Learning with Non-contrastive Self-supervision