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Optimal Rates for Zero-Order Convex Optimization: The Power of Two Function Evaluations.

, , , and . IEEE Trans. Inf. Theory, 61 (5): 2788-2806 (2015)

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Continuized Acceleration for Quasar Convex Functions in Non-Convex Optimization., and . ICLR, OpenReview.net, (2023)Convexity of mutual information along the Ornstein-Uhlenbeck flow., and . ISITA, page 55-59. IEEE, (2018)Concavity of reweighted Kikuchi approximation., and . NIPS, page 3473-3481. (2014)The Mirror Langevin Algorithm Converges with Vanishing Bias., , , and . CoRR, (2021)Mitigating Catastrophic Forgetting in Long Short-Term Memory Networks., , , and . CoRR, (2023)Last-Iterate Convergence Rates for Min-Max Optimization: Convergence of Hamiltonian Gradient Descent and Consensus Optimization., , and . ALT, volume 132 of Proceedings of Machine Learning Research, page 3-47. PMLR, (2021)Fast Convergence of Fictitious Play for Diagonal Payoff Matrices., , and . SODA, page 1387-1404. SIAM, (2021)Towards Understanding GD with Hard and Conjugate Pseudo-labels for Test-Time Adaptation., and . ICLR, OpenReview.net, (2023)On a Class of Gibbs Sampling over Networks., , , , and . COLT, volume 195 of Proceedings of Machine Learning Research, page 5754-5780. PMLR, (2023)How to Hedge an Option Against an Adversary: Black-Scholes Pricing is Minimax Optimal., , , and . NIPS, page 2346-2354. (2013)