home • publications & preprints
2021
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Almost sure convergence rates for Stochastic Gradient Descent and Stochastic Heavy Ball
Othmane Sebbouh, Robert M. Gower and Aaron Defazio
COLT 2021
≻ proceedings
≻ preprint
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SGD for structured nonconvex functions: Learning rates, minibatching and interpolation
Robert M. Gower, Othmane Sebbouh and Nicolas Loizou
AISTATS 2021
≻ proceedings
≻ preprint
2020
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Convergence Rates of Damped Inertial Dynamics under Geometric Conditions and Perturbations
Othmane Sebbouh, Aude Rondepierre and Charles Dossal
SIOPT 2020
≻ article
≻ arXiv
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On the Convergence of the Stochastic Heavy Ball Method
Othmane Sebbouh, Robert M. Gower and Aaron Defazio
arXiv
≻ preprint
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Unified analysis of stochastic gradient methods for composite convex and smooth optimization
Ahmed Khaled, Othmane Sebbouh, Nicolas Loizou, Robert M. Gower and Peter Richtarik
arXiv
≻ preprint
2019
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Towards closing the gap between the theory and practice of SVRG
Othmane Sebbouh, Nidham Gazagnadou, Samy Jelassi, Francis Bach and Robert M. Gower
Neurips 2019
≻ proceedings
≻ arXiv