Algorithmes adaptatifs pour l'optimisation au-delà des conditions de Lipschitz von Antonakopoulos, Kimon

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Adaptive first-order methods revisited: Convex optimization without Lipschitz requirements von Antonakopoulos, Kimon, Mertikopoulos, Panayotis

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Improving SAM Requires Rethinking its Optimization Formulation von Xie, Wanyun, Latorre, Fabian, Antonakopoulos, Kimon, Pethick, Thomas, Cevher, Volkan

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Extra-Newton: A First Approach to Noise-Adaptive Accelerated Second-Order Methods von Antonakopoulos, Kimon, Kavis, Ali, Cevher, Volkan

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Universal Gradient Methods for Stochastic Convex Optimization von Rodomanov, Anton, Kavis, Ali, Wu, Yongtao, Antonakopoulos, Kimon, Cevher, Volkan

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Routing in an Uncertain World: Adaptivity, Efficiency, and Equilibrium von Vu, Dong Quan, Antonakopoulos, Kimon, Mertikopoulos, Panayotis

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Adaptive Learning in Continuous Games: Optimal Regret Bounds and Convergence to Nash Equilibrium von Hsieh, Yu-Guan, Antonakopoulos, Kimon, Mertikopoulos, Panayotis

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Adaptive extra-gradient methods for min-max optimization and games von Antonakopoulos, Kimon, Belmega, E. Veronica, Mertikopoulos, Panayotis

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No-Regret Learning in Games with Noisy Feedback: Faster Rates and Adaptivity via Learning Rate Separation von Hsieh, Yu-Guan, Antonakopoulos, Kimon, Cevher, Volkan, Mertikopoulos, Panayotis

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Adaptive first-order methods revisited: Convex optimization without Lipschitz requirements von Antonakopoulos, Kimon, Mertikopoulos, Panayotis

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Advancing the lower bounds: An accelerated, stochastic, second-order method with optimal adaptation to inexactness von Agafonov, Artem, Kamzolov, Dmitry, Gasnikov, Alexander, Kavis, Ali, Antonakopoulos, Kimon, Cevher, Volkan, Takáč, Martin

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Distributed Extra-gradient with Optimal Complexity and Communication Guarantees von Ramezani-Kebrya, Ali, Antonakopoulos, Kimon, Krawczuk, Igor, Deschenaux, Justin, Cevher, Volkan

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Adaptive Stochastic Variance Reduction for Non-convex Finite-Sum Minimization von Kavis, Ali, Skoulakis, Stratis, Antonakopoulos, Kimon, Dadi, Leello Tadesse, Cevher, Volkan

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A universal black-box optimization method with almost dimension-free convergence rate guarantees von Antonakopoulos, Kimon, Vu, Dong Quan, Cevher, Vokan, Levy, Kfir Y, Mertikopoulos, Panayotis

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Extra-Newton: A First Approach to Noise-Adaptive Accelerated Second-Order Methods von Antonakopoulos, Kimon, Kavis, Ali, Cevher, Volkan

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Improving SAM Requires Rethinking its Optimization Formulation von Xie, Wanyun, Latorre, Fabian, Antonakopoulos, Kimon, Pethick, Thomas, Cevher, Volkan

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Universal Gradient Methods for Stochastic Convex Optimization von Rodomanov, Anton, Kavis, Ali, Wu, Yongtao, Antonakopoulos, Kimon, Cevher, Volkan

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Routing in an Uncertain World: Adaptivity, Efficiency, and Equilibrium von Dong Quan Vu, Antonakopoulos, Kimon, Mertikopoulos, Panayotis

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Adaptive Learning in Continuous Games: Optimal Regret Bounds and Convergence to Nash Equilibrium von Yu-Guan, Hsieh, Antonakopoulos, Kimon, Mertikopoulos, Panayotis

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No-Regret Learning in Games with Noisy Feedback: Faster Rates and Adaptivity via Learning Rate Separation von Yu-Guan, Hsieh, Antonakopoulos, Kimon, Cevher, Volkan, Mertikopoulos, Panayotis

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