| High-probability bounds for stochastic optimization and variational inequalities: the case of unbounded variance A Sadiev, M Danilova, E Gorbunov, S Horváth, G Gidel, P Dvurechensky, ... International Conference on Machine Learning, 29563-29648, 2023 | 55 | 2023 |
| Gradient-free methods with inexact oracle for convex-concave stochastic saddle-point problem A Beznosikov, A Sadiev, A Gasnikov International Conference on Mathematical Optimization Theory and Operations …, 2020 | 41 | 2020 |
| Optimal algorithms for decentralized stochastic variational inequalities D Kovalev, A Beznosikov, A Sadiev, M Persiianov, P Richtárik, ... Advances in Neural Information Processing Systems 35, 31073-31088, 2022 | 35 | 2022 |
| Solving smooth min-min and min-max problems by mixed oracle algorithms E Gladin, A Sadiev, A Gasnikov, P Dvurechensky, A Beznosikov, ... International Conference on Mathematical Optimization Theory and Operations …, 2021 | 32 | 2021 |
| Don't Compress Gradients in Random Reshuffling: Compress Gradient Differences A Sadiev, G Malinovsky, E Gorbunov, I Sokolov, A Khaled, ... The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024 | 29* | 2024 |
| Zeroth-order algorithms for smooth saddle-point problems A Sadiev, A Beznosikov, P Dvurechensky, A Gasnikov International Conference on Mathematical Optimization Theory and Operations …, 2021 | 28 | 2021 |
| Communication acceleration of local gradient methods via an accelerated primal-dual algorithm with an inexact prox A Sadiev, D Kovalev, P Richtárik Advances in Neural Information Processing Systems 35, 21777-21791, 2022 | 25 | 2022 |
| Decentralized personalized federated learning: Lower bounds and optimal algorithm for all personalization modes A Sadiev, E Borodich, A Beznosikov, D Dvinskikh, S Chezhegov, ... EURO Journal on Computational Optimization 10, 100041, 2022 | 22* | 2022 |
| High-probability convergence for composite and distributed stochastic minimization and variational inequalities with heavy-tailed noise E Gorbunov, A Sadiev, M Danilova, S Horváth, G Gidel, P Dvurechensky, ... arXiv preprint arXiv:2310.01860, 2023 | 17 | 2023 |
| AI-SARAH: Adaptive and implicit stochastic recursive gradient methods Z Shi, A Sadiev, N Loizou, P Richtárik, M Takáč arXiv preprint arXiv:2102.09700, 2021 | 14 | 2021 |
| Decentralized personalized federated learning for min-max problems E Borodich, A Beznosikov, A Sadiev, V Sushko, N Savelyev, M Takáč, ... arXiv preprint arXiv:2106.07289, 2021 | 13 | 2021 |
| Adaptive compression for communication-efficient distributed training M Makarenko, E Gasanov, R Islamov, A Sadiev, P Richtárik arXiv preprint arXiv:2211.00188, 2022 | 11 | 2022 |
| Stochastic gradient methods with preconditioned updates A Sadiev, A Beznosikov, AJ Almansoori, D Kamzolov, R Tappenden, ... Journal of Optimization Theory and Applications 201 (2), 471-489, 2024 | 9 | 2024 |
| Spam: Stochastic proximal point method with momentum variance reduction for non-convex cross-device federated learning A Karagulyan, E Shulgin, A Sadiev, P Richtárik arXiv preprint arXiv:2405.20127, 2024 | 5 | 2024 |
| A unified theory of stochastic proximal point methods without smoothness P Richtárik, A Sadiev, Y Demidovich arXiv preprint arXiv:2405.15941, 2024 | 5 | 2024 |
| Stochastic proximal point methods for monotone inclusions under expected similarity A Sadiev, L Condat, P Richtárik arXiv preprint arXiv:2405.14255, 2024 | 4 | 2024 |
| Error Feedback under -Smoothness: Normalization and Momentum S Khirirat, A Sadiev, A Riabinin, E Gorbunov, P Richtárik arXiv preprint arXiv:2410.16871, 2024 | 2* | 2024 |
| An Approach for Non-convex Uniformly Concave Structured Saddle Point Problem M Alkousa, A Gasnikov, P Dvurechensky, A Sadiev, L Razouk arXiv preprint arXiv:2202.06376, 2022 | 1 | 2022 |
| Differentially Private Random Block Coordinate Descent A Maranjyan, A Sadiev, P Richtárik arXiv preprint arXiv:2412.17054, 2024 | | 2024 |
Peter RichtarikProfessor, KAUSTVerified email at kaust.edu.sa
