Anton Rodomanov
11 papers · 2014–2025 · 3 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer π Academic Marathon (11) π Cross-Pollinator (12)
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Taxonomy Completionist
(12)
π
Conference Polyglot
(3)
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Century Club
(11)
β‘
Prolific Year
(5)
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Trend Setter
Conferences
ICML (8)
NIPS (2)
ICLR (1)
Top co-authors
Keywords
convex optimization
(2)
stochastic gradient
(1)
communication complexity
(1)
distributed learning
(1)
distributed optimization
(1)
tensor decomposition
(1)
map inference
(1)
partition function
(1)
variance reduction
(1)
proximal newton methods
(1)
condition number
(1)
markov random field
(1)
probabilistic graphical model
(1)
strongly convex function
(1)
superlinear convergence
(1)
adaptive gradient method
(1)
finite sum optimization
(1)
gradient method
(1)
adaptive gradient
(1)
federated optimization
(1)
Papers
Decoupled SGDA for Games with Intermittent Strategy Communication
ICML 2025
Exploiting Similarity for Computation and Communication-Efficient Decentralized Optimization
ICML 2025
Optimizing $(L_0, L_1)$-Smooth Functions by Gradient Methods
ICLR 2025
Universality of AdaGrad Stepsizes for Stochastic Optimization: Inexact Oracle, Acceleration and Variance Reduction
NIPS 2024
Stabilized Proximal-Point Methods for Federated Optimization
NIPS 2024
Non-convex Stochastic Composite Optimization with Polyak Momentum
ICML 2024
Federated Optimization with Doubly Regularized Drift Correction
ICML 2024
Universal Gradient Methods for Stochastic Convex Optimization
ICML 2024
Polynomial Preconditioning for Gradient Methods
ICML 2023
A Superlinearly-Convergent Proximal Newton-type Method for the Optimization of Finite Sums
ICML 2016
Putting MRFs on a Tensor Train
ICML 2014