Self-concordant analysis of Frank-Wolfe algorithms P Dvurechensky, P Ostroukhov, K Safin, S Shtern, M Staudigl International Conference on Machine Learning, 2814-2824, 2020 | 29 | 2020 |
Near-optimal tensor methods for minimizing the gradient norm of convex functions and accelerated primal-dual tensor methods P Dvurechensky, P Ostroukhov, A Gasnikov, CA Uribe, A Ivanova arXiv preprint arXiv:1912.03381, 2019 | 18* | 2019 |
Tensor methods for strongly convex strongly concave saddle point problems and strongly monotone variational inequalities P Ostroukhov, R Kamalov, P Dvurechensky, A Gasnikov arXiv preprint arXiv:2012.15595, 2020 | 16 | 2020 |
Fake News Spreader Detection using Neural Tweet Aggregation. O Bakhteev, A Ogaltsov, P Ostroukhov CLEF (Working Notes), 2020 | 14 | 2020 |
Tensor methods inside mixed oracle for min-min problems P Ostroukhov arXiv preprint arXiv:2202.10132, 2022 | 1 | 2022 |
Exploring Jacobian Inexactness in Second-Order Methods for Variational Inequalities: Lower Bounds, Optimal Algorithms and Quasi-Newton Approximations A Agafonov, P Ostroukhov, R Mozhaev, K Yakovlev, E Gorbunov, M Takáč, ... arXiv preprint arXiv:2405.15990, 2024 | | 2024 |
AdaBatchGrad: Combining Adaptive Batch Size and Adaptive Step Size P Ostroukhov, A Zhumabayeva, C Xiang, A Gasnikov, M Takáč, ... arXiv preprint arXiv:2402.05264, 2024 | | 2024 |