Pavel Dvurechenskii
4 papers · 2016–2022 · 1 venue · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+1 more ↓ Show less ↑
🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (15) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer
📈
Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(4)
Mathematics & Optimization
(4)
Optimization
(4)
Optimization & Theory
(4)
Artificial Intelligence
(2)
Computer Science
(1)
Applications
(1)
Bayesian & Probabilistic
(1)
Core AI
(1)
Core Methods
(1)
Learning Paradigms · Artificial Intelligence
(1)
Learning Paradigms · Machine Learning
(1)
Keywords
stochastic optimization
(3)
variational inequality
(2)
stochastic gradient descent
(1)
non-convex optimization
(1)
convex optimization
(1)
game theory
(1)
gradient-based optimization
(1)
optimal transport
(1)
distributed learning
(1)
decentralized optimization
(1)
distributed optimization
(1)
learning to rank
(1)
convergence rate
(1)
primal-dual method
(1)
extragradient method
(1)
gradient-free optimization
(1)
gradient descent ascent
(1)
stochastic extragradient
(1)
wasserstein barycenter
(1)
heavy-tailed noise
(1)
Papers
Clipped Stochastic Methods for Variational Inequalities with Heavy-Tailed Noise
NeurIPS 2022
Decentralized Local Stochastic Extra-Gradient for Variational Inequalities
NeurIPS 2022
Decentralize and Randomize: Faster Algorithm for Wasserstein Barycenters
NeurIPS 2018
Learning Supervised PageRank with Gradient-Based and Gradient-Free Optimization Methods
NeurIPS 2016