Egor Shulgin
6 papers · 2019–2025 · 4 conferences · across top CS/AI conferences
Achievements
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Taxonomy Completionist
(12)
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Hot Topic Early Bird
Conferences
ICML (3)
AISTATS (1)
ICLR (1)
UAI (1)
Top co-authors
Keywords
stochastic gradient descent
(2)
convex optimization
(1)
variational inequality
(1)
convergence analysis
(1)
distributed learning
(1)
decentralized optimization
(1)
variance reduction
(1)
distributed training
(1)
communication efficiency
(1)
convex-concave saddle-point
(1)
saddle-point problems
(1)
gradient compression
(1)
generative adversarial network
(1)
nesterov acceleration
(1)
bilinear game
(1)
stochastic extragradient
(1)
mini-batch size
(1)
time-varying network
(1)
accelerated gradient method
(1)
dual oracle
(1)
Papers
MAST: model-agnostic sparsified training
ICLR 2025
Towards a Better Theoretical Understanding of Independent Subnetwork Training
ICML 2024
Shifted compression framework: generalizations and improvements
UAI 2022
ADOM: Accelerated Decentralized Optimization Method for Time-Varying Networks
ICML 2021
Revisiting Stochastic Extragradient
AISTATS 2020
SGD: General Analysis and Improved Rates
ICML 2019