Anton Rodomanov
11 papers · 2014–2025 · 3 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (16)
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Keyword Pioneer
💎
Century Club · Bronze
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Prolific Year · Productive
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Keyword Collector
(58)
Venues
Top co-authors
Research topics
Machine Learning
(10)
Mathematics & Optimization
(10)
Optimization
(10)
Optimization & Theory
(10)
Artificial Intelligence
(2)
Computer Science
(2)
Systems
(2)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Learning Paradigms
(1)
Mathematics
(1)
Keywords
communication complexity
(4)
variance reduction
(2)
convergence rate
(2)
convex optimization
(2)
map inference
(1)
stochastic convex optimization
(1)
stochastic gradient
(1)
distributed optimization
(1)
non-convex optimization
(1)
tensor decomposition
(1)
decentralized optimization
(1)
partition function
(1)
proximal newton methods
(1)
distributed learning
(1)
finite-sum optimization
(1)
condition number
(1)
markov random field
(1)
probabilistic graphical model
(1)
proximal operator
(1)
stochastic 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
Federated Optimization with Doubly Regularized Drift Correction
ICML 2024
Non-convex Stochastic Composite Optimization with Polyak Momentum
ICML 2024
Stabilized Proximal-Point Methods for Federated Optimization
NeurIPS 2024
Universal Gradient Methods for Stochastic Convex Optimization
ICML 2024
Universality of AdaGrad Stepsizes for Stochastic Optimization: Inexact Oracle, Acceleration and Variance Reduction
NeurIPS 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