Items where Division is "Sebastian Stich (SS)" and Year is 2023

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Number of items: 5.

Conference or Workshop Item (A Paper)

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.
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada.
Conference: CVPR IEEE Conference on Computer Vision and Pattern Recognition

Jiang, Xiaowen and Stich, Sebastian U.
(2023) Adaptive SGD with Polyak stepsize and Line-search: Robust Convergence and Variance Reduction.
In: Conference on Neural Information Processing Systems, 11.12.2023-16.12.2023, New Orleans, USA.
Conference: NeurIPS Conference on Neural Information Processing Systems

Koloskova, Anastasia and Hendrikx, Hadrien and Stich, Sebastian U.
(2023) Revisiting Gradient Clipping: Stochastic bias and tight convergence guarantees.
In: International Conference on Machine Learning (ICML), Honolulu, USA.
Conference: ICML International Conference on Machine Learning

Mohtashami, Amirkeivan and Jaggi, Martin and Stich, Sebastian U.
(2023) Special Properties of Gradient Descent with Large Learning Rates.
In: International Conference on Machine Learning (ICML), Honolulu, USA.
Conference: ICML International Conference on Machine Learning

Article

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.

This list was generated on Thu Nov 21 16:49:11 2024 CET.
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