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Optimal rates for zero-order convex optimization: the power of two function evaluations, , , and . (Aug 20, 2014)Variational and Dynamical Perspectives On Learning and Optimization.. University of California, Berkeley, USA, (2016)Accelerating Hamiltonian Monte Carlo via Chebyshev Integration Time., and . ICLR, OpenReview.net, (2023)Fast Convergence of Fictitious Play for Diagonal Payoff Matrices., , and . SODA, page 1387-1404. SIAM, (2021)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)How to Hedge an Option Against an Adversary: Black-Scholes Pricing is Minimax Optimal., , , and . NIPS, page 2346-2354. (2013)On a Class of Gibbs Sampling over Networks., , , , and . COLT, volume 195 of Proceedings of Machine Learning Research, page 5754-5780. PMLR, (2023)Convexity of Mutual Information Along the Heat Flow., and . ISIT, page 1615-1619. IEEE, (2018)Towards Understanding GD with Hard and Conjugate Pseudo-labels for Test-Time Adaptation., and . ICLR, OpenReview.net, (2023)Convexity of mutual information along the Ornstein-Uhlenbeck flow., and . ISITA, page 55-59. IEEE, (2018)