Rodomanov, Anton

12 publications

ICML 2025 Decoupled SGDA for Games with Intermittent Strategy Communication Ali Zindari, Parham Yazdkhasti, Anton Rodomanov, Tatjana Chavdarova, Sebastian U Stich

ICML 2025 Exploiting Similarity for Computation and Communication-Efficient Decentralized Optimization Yuki Takezawa, Xiaowen Jiang, Anton Rodomanov, Sebastian U Stich

ICLR 2025 Optimizing $(l_0, L_1)$-Smooth Functions by Gradient Methods Daniil Vankov, Anton Rodomanov, Angelia Nedich, Lalitha Sankar, Sebastian U Stich

NeurIPSW 2024 DADA: Dual Averaging with Distance Adaptation Mohammad Moshtaghifar, Anton Rodomanov, Daniil Vankov, Sebastian U Stich

ICML 2024 Federated Optimization with Doubly Regularized Drift Correction Xiaowen Jiang, Anton Rodomanov, Sebastian U Stich

ICML 2024 Non-Convex Stochastic Composite Optimization with Polyak Momentum Yuan Gao, Anton Rodomanov, Sebastian U Stich

NeurIPS 2024 Stabilized Proximal-Point Methods for Federated Optimization Xiaowen Jiang, Anton Rodomanov, Sebastian U. Stich

ICML 2024 Universal Gradient Methods for Stochastic Convex Optimization Anton Rodomanov, Ali Kavis, Yongtao Wu, Kimon Antonakopoulos, Volkan Cevher

NeurIPS 2024 Universality of AdaGrad Stepsizes for Stochastic Optimization: Inexact Oracle, Acceleration and Variance Reduction Anton Rodomanov, Xiaowen Jiang, Sebastian Stich

ICML 2023 Polynomial Preconditioning for Gradient Methods Nikita Doikov, Anton Rodomanov

ICML 2016 A Superlinearly-Convergent Proximal Newton-Type Method for the Optimization of Finite Sums Anton Rodomanov, Dmitry Kropotov

ICML 2014 Putting MRFs on a Tensor Train Alexander Novikov, Anton Rodomanov, Anton Osokin, Dmitry Vetrov