Avetik Karagulyan | DeepAI

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Featured Co-authors

Peter Richtarik
143 publications
Lu Yu
32 publications
Arnak S. Dalalyan
18 publications
Arnak Dalalyan
6 publications
Lukang Sun
5 publications
Lionel Riou-Durand
5 publications

∙ 06/14/2023

Langevin Monte Carlo for strongly log-concave distributions: Randomized midpoint revisited

We revisit the problem of sampling from a target distribution that has a...

0 Lu Yu, et al. ∙

∙ 03/08/2023

ELF: Federated Langevin Algorithms with Primal, Dual and Bidirectional Compression

Federated sampling algorithms have recently gained great popularity in t...

0 Avetik Karagulyan, et al. ∙

∙ 06/01/2022

Convergence of Stein Variational Gradient Descent under a Weaker Smoothness Condition

Stein Variational Gradient Descent (SVGD) is an important alternative to...

0 Lukang Sun, et al. ∙

∙ 06/24/2020

Penalized Langevin dynamics with vanishing penalty for smooth and log-concave targets

We study the problem of sampling from a probability distribution on ℝ^p ...

0 Avetik Karagulyan, et al. ∙

∙ 06/20/2019

Bounding the error of discretized Langevin algorithms for non-strongly log-concave targets

In this paper, we provide non-asymptotic upper bounds on the error of sa...

0 Arnak S. Dalalyan, et al. ∙

∙ 11/02/2018

Non-Asymptotic Guarantees For Sampling by Stochastic Gradient Descent

Sampling from various kinds of distributions is an issue of paramount im...

0 Avetik Karagulyan, et al. ∙

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