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

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Number of items: 5.

B

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

H

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.

J

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

K

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

M

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

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