Almost sure convergence rates for stochastic gradient descent and stochastic heavy ball O Sebbouh, RM Gower, A Defazio Conference on Learning Theory, 3935-3971, 2021 | 111* | 2021 |
Sgd for structured nonconvex functions: Learning rates, minibatching and interpolation R Gower, O Sebbouh, N Loizou International Conference on Artificial Intelligence and Statistics, 1315-1323, 2021 | 77 | 2021 |
Unified analysis of stochastic gradient methods for composite convex and smooth optimization A Khaled, O Sebbouh, N Loizou, RM Gower, P Richtárik Journal of Optimization Theory and Applications 199 (2), 499-540, 2023 | 44 | 2023 |
Convergence rates of damped inertial dynamics under geometric conditions and perturbations O Sebbouh, C Dossal, A Rondepierre SIAM Journal on Optimization 30 (3), 1850-1877, 2020 | 33* | 2020 |
Towards closing the gap between the theory and practice of SVRG O Sebbouh, N Gazagnadou, S Jelassi, F Bach, RM Gower Advances in neural information processing systems, 2019, 2019 | 20 | 2019 |
Randomized stochastic gradient descent ascent O Sebbouh, M Cuturi, G Peyré International Conference on Artificial Intelligence and Statistics, 2941-2969, 2022 | 10 | 2022 |
Structured Transforms Across Spaces with Cost-Regularized Optimal Transport O Sebbouh, M Cuturi, G Peyré International Conference on Artificial Intelligence and Statistics, 586-594, 2024 | | 2024 |