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Grigory Malinovsky
7 papers at tracked venues · 6 at CORE A* · active 2024–2025
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Venues
NeurIPS
×3
ICLR
×2
AAAI
×1
UAI
×1
Frequent coauthors
Peter Richtárik
×6
Eduard Gorbunov
×3
Yury Demidovich
×2
Samuel Horváth
×2
Dmitry Kovalev
×1
Alexander V. Gasnikov
×1
Egor Shulgin
×1
Petr Ostroukhov
×1
Martin Takác
×1
Abdurakhmon Sadiev
×1
Igor Sokolov
×1
Ahmed Khaled
×1
Papers
An Optimal Algorithm for Strongly Convex Min-Min Optimization
BibTeX ⧉
UAI 2025
·
Dmitry Kovalev
,
Alexander V. Gasnikov
,
Grigory Malinovsky
MAST: model-agnostic sparsified training
BibTeX ⧉
ICLR 2025
·
Yury Demidovich
,
Grigory Malinovsky
,
Egor Shulgin
,
Peter Richtárik
Methods with Local Steps and Random Reshuffling for Generally Smooth Non-Convex Federated Optimization
BibTeX ⧉
ICLR 2025
·
Yury Demidovich
,
Petr Ostroukhov
,
Grigory Malinovsky
,
Samuel Horváth
,
Martin Takác
,
Peter Richtárik
,
Eduard Gorbunov
Byzantine Robustness and Partial Participation Can Be Achieved at Once: Just Clip Gradient Differences
BibTeX ⧉
NeurIPS 2024
·
Grigory Malinovsky
,
Peter Richtárik
,
Samuel Horváth
,
Eduard Gorbunov
Don't Compress Gradients in Random Reshuffling: Compress Gradient Differences
BibTeX ⧉
NeurIPS 2024
·
Abdurakhmon Sadiev
,
Grigory Malinovsky
,
Eduard Gorbunov
,
Igor Sokolov
,
Ahmed Khaled
,
Konstantin Burlachenko
,
Peter Richtárik
MicroAdam: Accurate Adaptive Optimization with Low Space Overhead and Provable Convergence
BibTeX ⧉
NeurIPS 2024
·
Ionut-Vlad Modoranu
,
Mher Safaryan
,
Grigory Malinovsky
,
Eldar Kurtic
,
Thomas Robert
,
Peter Richtárik
,
Dan Alistarh
Minibatch Stochastic Three Points Method for Unconstrained Smooth Minimization
BibTeX ⧉
AAAI 2024
·
Soumia Boucherouite
,
Grigory Malinovsky
,
Peter Richtárik
,
El Houcine Bergou