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Sparse Nonlinear Regression: Parameter Estimation under Nonconvexity., , , , и . ICML, том 48 из JMLR Workshop and Conference Proceedings, стр. 2472-2481. JMLR.org, (2016)Bridging Exploration and General Function Approximation in Reinforcement Learning: Provably Efficient Kernel and Neural Value Iterations., , , , и . CoRR, (2020)Provably Efficient Exploration in Policy Optimization., , , и . CoRR, (2019)Provably Efficient Safe Exploration via Primal-Dual Policy Optimization., , , , и . CoRR, (2020)Risk-Sensitive Deep RL: Variance-Constrained Actor-Critic Provably Finds Globally Optimal Policy., , , и . CoRR, (2020)Permutation Invariant Policy Optimization for Mean-Field Multi-Agent Reinforcement Learning: A Principled Approach., , , , , , и . CoRR, (2021)High Dimensional EM Algorithm: Statistical Optimization and Asymptotic Normality., , , и . NIPS, стр. 2521-2529. (2015)Non-convex Statistical Optimization for Sparse Tensor Graphical Model., , , и . NIPS, стр. 1081-1089. (2015)Tighten after Relax: Minimax-Optimal Sparse PCA in Polynomial Time., , и . NIPS, стр. 3383-3391. (2014)Provable Gaussian Embedding with One Observation., , , , и . NeurIPS, стр. 6765-6775. (2018)