Follow
Othmane Sebbouh
Title
Cited by
Cited by
Year
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
116*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
802021
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
462023
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
35*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
202019
Randomized stochastic gradient descent ascent
O Sebbouh, M Cuturi, G Peyré
International Conference on Artificial Intelligence and Statistics, 2941-2969, 2022
102022
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
22024
The system can't perform the operation now. Try again later.
Articles 1–7