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Misspecified nonconvex statistical optimization for sparse phase retrieval.

, , , , , and . Math. Program., 176 (1-2): 545-571 (2019)

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Pessimism meets VCG: Learning Dynamic Mechanism Design via Offline Reinforcement Learning., , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 14601-14638. PMLR, (2022)Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets., , , , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 27117-27142. PMLR, (2022)Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning., , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 18168-18210. PMLR, (2022)Provably Sample Efficient Reinforcement Learning in Competitive Linear Quadratic Systems., , , and . L4DC, volume 144 of Proceedings of Machine Learning Research, page 597-598. PMLR, (2021)Cocktail: Learn a Better Neural Network Controller from Multiple Experts via Adaptive Mixing and Robust Distillation., , , , , and . DAC, page 397-402. IEEE, (2021)Sample Elicitation., , , , , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 2692-2700. PMLR, (2021)Breaking the Curse of Many Agents: Provable Mean Embedding Q-Iteration for Mean-Field Reinforcement Learning., , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 10092-10103. PMLR, (2020)Provably Efficient Exploration in Policy Optimization., , , and . CoRR, (2019)Permutation Invariant Policy Optimization for Mean-Field Multi-Agent Reinforcement Learning: A Principled Approach., , , , , , and . CoRR, (2021)Bridging Exploration and General Function Approximation in Reinforcement Learning: Provably Efficient Kernel and Neural Value Iterations., , , , and . CoRR, (2020)