Slavomír Hanzely

According to our database, Slavomír Hanzely authored at least 9 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

ψDAG: Projected Stochastic Approximation Iteration for DAG Structure Learning.

Klea Ziu, Slavomír Hanzely, Loka Li, Kun Zhang, Martin Takác, Dmitry Kamzolov

CoRR, 2024

2023

Adaptive Optimization Algorithms for Machine Learning.

Slavomír Hanzely

PhD thesis, 2023

Distributed Newton-Type Methods with Communication Compression and Bernoulli Aggregation.

Rustem Islamov, Xun Qian, Slavomír Hanzely, Mher Safaryan, Peter Richtárik

Trans. Mach. Learn. Res., 2023

Adaptive Optimization Algorithms for Machine Learning.

Slavomír Hanzely

CoRR, 2023

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

Slavomír Hanzely

CoRR, 2023

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

Konstantin Mishchenko, Slavomír Hanzely, Peter Richtárik

CoRR, 2023

2022

A Damped Newton Method Achieves Global $\mathcal O \left(\frac{1}{k^2}\right)$ and Local Quadratic Convergence Rate.

Slavomír Hanzely, Dmitry Kamzolov, Dmitry Pasechnyuk, Alexander V. Gasnikov, Peter Richtárik, Martin Takác

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2020

Adaptive Learning of the Optimal Mini-Batch Size of SGD.

Motasem Alfarra, Slavomír Hanzely, Alyazeed Albasyoni, Bernard Ghanem, Peter Richtárik

CoRR, 2020

Lower Bounds and Optimal Algorithms for Personalized Federated Learning.

Filip Hanzely, Slavomír Hanzely, Samuel Horváth, Peter Richtárik

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020