S. Hanzely

activity

20202025

most citedLower Bounds and Optimal Algorithms for Personalized Federated Learning

64 citations · 67 across the 12 of their papers we have counts for

collaborators

Showing 2023Show all

3 papers · 1 filter

cs.LG2023

Adaptive Optimization Algorithms for Machine Learning

Slavomír Hanzely

Machine learning assumes a pivotal role in our data-driven world. The increasing scale of models and datasets necessitates quick and reliable algorithms for model training. This di…

math.OC2023

Sketch-and-Project Meets Newton Method: Global $O (k^{- 2})$ Convergence with Low-Rank Updates

Slavomír Hanzely

In this paper, we propose the first sketch-and-project Newton method with fast $O (k^{- 2})$ global convergence rate for self-concordant functions. Our method, SGN, can be v…

math.OC2023

Convergence of First-Order Algorithms for Meta-Learning with Moreau Envelopes

Konstantin Mishchenko, Slavomír Hanzely, Peter Richtárik

In this work, we consider the problem of minimizing the sum of Moreau envelopes of given functions, which has previously appeared in the context of meta-learning and personalized f…

Adaptive Optimization Algorithms for Machine Learning

Sketch-and-Project Meets Newton Method: Global O(k−2) Convergence with Low-Rank Updates

Convergence of First-Order Algorithms for Meta-Learning with Moreau Envelopes

Sketch-and-Project Meets Newton Method: Global $O (k^{- 2})$ Convergence with Low-Rank Updates