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Avetik Karagulyan
Researcher, CNRS / L2S, Centrale Supélec
Joined
December 2021
Names
Avetik Karagulyan
(Preferred)
,
Avetik G. Karagulyan
Emails
****@gmail.com
(Confirmed)
,
****@ensae.fr
(Confirmed)
,
****@kaust.edu.sa
(Confirmed)
,
****@centralesupelec.fr
(Confirmed)
,
****@l2s.centralesupelec.fr
Personal Links
Homepage
Google Scholar
DBLP
Career & Education History
Researcher
CNRS / L2S,
Centrale Supélec
(centralesupelec.fr)
2024
–
Present
Postdoc
King Abdullah University of Science and Technology
(kaust.edu.sa)
2021
–
2024
PhD student
Ecole Nationale de la Statistique et de l'Administration Economique
(ensae.fr)
2018
–
2021
Advisors, Relations & Conflicts
Coauthor
Lukang Sun
Present
Coauthor
Abdurakhmon Sadiev
Present
Coworker
Arshak Minasyan
2018
–
Present
Postdoc Advisor
Peter Richtarik
2021
–
2024
Coauthor
Egor Shulgin
2021
–
2024
Coauthor
Hanmin Li
2021
–
2024
PhD Advisor
Arnak Dalalyan
2018
–
2021
Coauthor
Lionel Riou-Durand
2018
–
2021
Expertise
Sampling
Present
Optimization
Present
Langevin Sampling
Present
Markov Chain Monte Carlo
Present
Publications
Variance Reduced Distributed Non-Convex Optimization Using Matrix Stepsizes
Hanmin Li
,
Avetik Karagulyan
,
Peter Richtárik
Submitted to ICLR 2026
Readers:
Everyone
SPAM: Stochastic Proximal Point Method with Momentum Variance Reduction for Non-convex Cross-Device Federated Learning
Avetik Karagulyan
,
Egor Shulgin
,
Abdurakhmon Sadiev
,
Peter Richtárik
TTODLer-FM @ ICML 2025 Poster
Readers:
Everyone
ELF: Federated Langevin Algorithms with Primal, Dual and Bidirectional Compression
Avetik Karagulyan
,
Peter Richtárik
UAI 2025 Poster
Readers:
Everyone
SPAM: Stochastic Proximal Point Method with Momentum Variance Reduction for Nonconvex Cross-Device Federated Learning
Avetik Karagulyan
,
Egor Shulgin
,
Abdurakhmon Sadiev
,
Peter Richtárik
NeurIPS 2024 Workshop
Readers:
Everyone
Variance Reduced Distributed Non-Convex Optimization Using Matrix Stepsizes
Hanmin Li
,
Avetik Karagulyan
,
Peter Richtárik
Submitted to ICLR 2025
Readers:
Everyone
Det-CGD: Compressed Gradient Descent with Matrix Stepsizes for Non-Convex Optimization
Hanmin Li
,
Avetik Karagulyan
,
Peter Richtárik
NeurIPS 2023 Workshop Poster
Readers:
Everyone
MARINA Meets Matrix Stepsizes: Variance Reduced Distributed Non-Convex Optimization
Hanmin Li
,
Avetik Karagulyan
,
Peter Richtárik
FL@FM-NeurIPS’23 Poster
Readers:
Everyone
Det-CGD: Compressed Gradient Descent with Matrix Stepsizes for Non-Convex Optimization
Hanmin Li
,
Avetik Karagulyan
,
Peter Richtárik
ICLR 2024 poster
Readers:
Everyone
MARINA Meets Matrix Stepsizes: Variance Reduced Distributed Non-Convex Optimization
Hanmin Li
,
Avetik Karagulyan
,
Peter Richtárik
ICLR 2024 Conference Desk Rejected Submission
Readers:
Everyone
Langevin Monte Carlo for strongly log-concave distributions: Randomized midpoint revisited
Lu Yu
,
Avetik Karagulyan
,
Arnak S. Dalalyan
ICLR 2024 poster
Readers:
Everyone
View all 17 publications
Co-Authors
Abdurakhmon Sadiev
Arnak S. Dalalyan
Egor Shulgin
Hanmin Li
Lionel Riou-Durand
Lu Yu
Lukang Sun
Peter Richtárik