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Spectral Frank-Wolfe Algorithm: Strict Complementarity and Linear Convergence.

, , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 2535-2544. PMLR, (2020)

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Risk-Sensitive Reinforcement Learning: Near-Optimal Risk-Sample Tradeoff in Regret., , , , and . NeurIPS, (2020)Dynamic Regret of Policy Optimization in Non-Stationary Environments., , , and . NeurIPS, (2020)Hidden Integrality of SDP Relaxations for Sub-Gaussian Mixture Models., and . COLT, volume 75 of Proceedings of Machine Learning Research, page 1931-1965. PMLR, (2018)Spectral Frank-Wolfe Algorithm: Strict Complementarity and Linear Convergence., , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 2535-2544. PMLR, (2020)Don't Retrain, Just Rewrite: Countering Adversarial Perturbations by Rewriting Text., , , , , , and . ACL (1), page 13981-13998. Association for Computational Linguistics, (2023)Achieving the Bayes Error Rate in Synchronization and Block Models by SDP, Robustly., and . CoRR, (2019)Achieving the Bayes Error Rate in Stochastic Block Model by SDP, Robustly., and . COLT, volume 99 of Proceedings of Machine Learning Research, page 1235-1269. PMLR, (2019)Exponential Bellman Equation and Improved Regret Bounds for Risk-Sensitive Reinforcement Learning., , , and . NeurIPS, page 20436-20446. (2021)Risk-Sensitive Reinforcement Learning with Function Approximation: A Debiasing Approach., , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 3198-3207. PMLR, (2021)Cascaded Gaps: Towards Logarithmic Regret for Risk-Sensitive Reinforcement Learning., and . ICML, volume 162 of Proceedings of Machine Learning Research, page 6392-6417. PMLR, (2022)