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Variance Reduction for Evolution Strategies via Structured Control Variates., , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 646-656. PMLR, (2020)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)Provably Robust Blackbox Optimization for Reinforcement Learning., , , , , , , , and . CoRL, volume 100 of Proceedings of Machine Learning Research, page 683-696. PMLR, (2019)Tournaments and the strong Erdős-Hajnal Property., , , and . Eur. J. Comb., (2022)Implicit Two-Tower Policies., , , , and . CoRR, (2022)Sub-Linear Memory: How to Make Performers SLiM., , , , and . CoRR, (2020)KAMA-NNs: Low-dimensional Rotation Based Neural Networks., , , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 236-245. PMLR, (2019)Towards tractable optimism in model-based reinforcement learning., , , , and . UAI, volume 161 of Proceedings of Machine Learning Research, page 1413-1423. AUAI Press, (2021)From Complexity to Simplicity: Adaptive ES-Active Subspaces for Blackbox Optimization., , , , and . NeurIPS, page 10299-10309. (2019)Ready Policy One: World Building Through Active Learning., , , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 591-601. PMLR, (2020)