Towards Noise-adaptive, Problem-adaptive Stochastic Gradient Descent. - Sharan Vaswani; Benjamin Dubois-Taine; Reza Babanezhad 001 (CoRR, 2021)

Towards Noise-adaptive, Problem-adaptive (Accelerated) Stochastic Gradient Descent. - Sharan Vaswani; Benjamin Dubois-Taine; Reza Babanezhad 001 (ICML, 2022)

Fast Stochastic Composite Minimization and an Accelerated Frank-Wolfe Algorithm under Parallelization. - Benjamin Dubois-Taine; Francis R. Bach; Quentin Berthet; Adrien B. Taylor (NeurIPS, 2022)

SVRG meets AdaGrad: painless variance reduction. - Benjamin Dubois-Taine; Sharan Vaswani; Reza Babanezhad 001; Mark Schmidt 001; Simon Lacoste-Julien (Mach. Learn., 2022)