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Practical Nonisotropic Monte Carlo Sampling in High Dimensions via Determinantal Point Processes.

, , , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 1363-1374. PMLR, (2020)

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ES-MAML: Simple Hessian-Free Meta Learning., , , , , and . ICLR, OpenReview.net, (2020)Convergence Rates of Smooth Message Passing with Rounding in Entropy-Regularized MAP Inference., , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 3003-3014. PMLR, (2020)Estimating Optimal Policy Value in General Linear Contextual Bandits., , , , and . CoRR, (2023)An Instance-Dependent Analysis for the Cooperative Multi-Player Multi-Armed Bandit., , and . ALT, volume 201 of Proceedings of Machine Learning Research, page 1166-1215. PMLR, (2023)Effective Diversity in Population Based Reinforcement Learning., , , and . NeurIPS, (2020)Tactical Optimism and Pessimism for Deep Reinforcement Learning., , , , and . NeurIPS, page 12849-12863. (2021)Unpacking Reward Shaping: Understanding the Benefits of Reward Engineering on Sample Complexity., , , , and . NeurIPS, (2022)Learning the Truth From Only One Side of the Story., , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 2413-2421. PMLR, (2021)Online Nonsubmodular Minimization with Delayed Costs: From Full Information to Bandit Feedback., , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 13441-13467. PMLR, (2022)Geometrically Coupled Monte Carlo Sampling., , , , , , and . NeurIPS, page 195-205. (2018)