Yura Malitsky
9 papers · 2019–2024 · 5 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (16) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver
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Topic Evolution
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Unstoppable · Bronze
Top co-authors
Research topics
Keywords
gradient descent
(3)
variational inequality
(3)
stochastic optimization
(2)
convex optimization
(2)
adaptive learning rate
(1)
convergence analysis
(1)
logistic regression
(1)
primal-dual method
(1)
variance reduction
(1)
online convex optimization
(1)
convergence guarantee
(1)
lipschitz continuity
(1)
convex-concave saddle-point
(1)
proximal gradient
(1)
regret bound
(1)
saddle-point problems
(1)
constrained optimization
(1)
adaptive algorithm
(1)
matrix factorization
(1)
non-convex optimization
(1)
Papers
Adaptive Proximal Gradient Method for Convex Optimization
NeurIPS 2024
Beyond the Golden Ratio for Variational Inequality Algorithms
JMLR 2023
Stochastic Variance Reduction for Variational Inequality Methods
COLT 2022
A first-order primal-dual method with adaptivity to local smoothness
NeurIPS 2021
Convergence of adaptive algorithms for constrained weakly convex optimization
NeurIPS 2021
Adaptive Gradient Descent without Descent
ICML 2020
A new regret analysis for Adam-type algorithms
ICML 2020
Revisiting Stochastic Extragradient
AISTATS 2020
Model Function Based Conditional Gradient Method with Armijo-like Line Search
ICML 2019