Number of items: 5.
Bo, Li and Schmidt, Mikkel N. and Alstrøm, Tommy S. and Stich, Sebastian U.
(2023)
On the effectiveness of partial variance reduction in federated learning with heterogeneous data.
Horváth, Samuel and Kovalev, Dmitry and Mishchenko, Konstantin and Richtárik, Peter and Stich, Sebastian U.
(2023)
Stochastic distributed learning with gradient quantization and double-variance reduction.
Optimization Methods and Software, 38 (1).
pp. 91-106.
Jiang, Xiaowen and Stich, Sebastian U.
(2023)
Adaptive SGD with Polyak stepsize and Line-search: Robust Convergence and Variance Reduction.
Koloskova, Anastasia and Hendrikx, Hadrien and Stich, Sebastian U.
(2023)
Revisiting Gradient Clipping: Stochastic bias and tight convergence guarantees.
Mohtashami, Amirkeivan and Jaggi, Martin and Stich, Sebastian U.
(2023)
Special Properties of Gradient Descent with Large Learning Rates.
This list was generated on Sat Dec 21 20:17:31 2024 CET.