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KAMA-NNs: Low-dimensional Rotation Based Neural Networks., , , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 236-245. PMLR, (2019)Approximate Sherali-Adams Relaxations for MAP Inference via Entropy Regularization., , and . CoRR, (2019)Provably Robust Blackbox Optimization for Reinforcement Learning., , , , , , , , and . CoRL, volume 100 of Proceedings of Machine Learning Research, page 683-696. PMLR, (2019)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)On Optimism in Model-Based Reinforcement Learning., , , , and . CoRR, (2020)Regret Bound Balancing and Elimination for Model Selection in Bandits and RL., , , and . CoRR, (2020)On Approximate Thompson Sampling with Langevin Algorithms., , , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 6797-6807. PMLR, (2020)Accelerated Message Passing for Entropy-Regularized MAP Inference., , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 5736-5746. PMLR, (2020)Ready Policy One: World Building Through Active Learning., , , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 591-601. PMLR, (2020)Towards tractable optimism in model-based reinforcement learning., , , , and . UAI, volume 161 of Proceedings of Machine Learning Research, page 1413-1423. AUAI Press, (2021)