Yura Malitsky
9 papers · 2019–2024 · 5 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Conference Polyglot (5) π Academic Marathon (5) π§ Keyword Pioneer π Interdisciplinary Bridge
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Cross-Pollinator
(5)
πΊοΈ
Taxonomy Completionist
(14)
π§¬
Topic Evolution
π₯
Unstoppable
(6)
Conferences
ICML (3)
NIPS (3)
AISTATS (1)
COLT (1)
JMLR (1)
Top co-authors
Keywords
gradient descent
(3)
variational inequality
(3)
convex optimization
(2)
logistic regression
(1)
adaptive learning rate
(1)
convergence analysis
(1)
matrix factorization
(1)
convergence guarantee
(1)
variance reduction
(1)
online convex optimization
(1)
regret bound
(1)
lipschitz continuity
(1)
convex-concave saddle-point
(1)
proximal gradient
(1)
saddle-point problems
(1)
constrained optimization
(1)
non-convex optimization
(1)
adaptive algorithm
(1)
primal-dual method
(1)
stochastic optimization
(1)
Papers
Adaptive Proximal Gradient Method for Convex Optimization
NIPS 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
NIPS 2021
Convergence of adaptive algorithms for constrained weakly convex optimization
NIPS 2021
Revisiting Stochastic Extragradient
AISTATS 2020
A new regret analysis for Adam-type algorithms
ICML 2020
Adaptive Gradient Descent without Descent
ICML 2020
Model Function Based Conditional Gradient Method with Armijo-like Line Search
ICML 2019