Andrei Kulunchakov

3 papers · 2019–2020 · 3 venues · 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

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🏆 Keyword Champion (2)

Venues

ICML (1) JMLR (1) NeurIPS (1)

Top co-authors

Julien Mairal (3)

Research topics

Machine Learning (3) Mathematics & Optimization (3) Optimization (3) Optimization & Theory · Machine Learning (3) Deep Learning (1) Optimization & Theory · Deep Learning (1)

Keywords

composite optimization (3) accelerated gradient (3) variance reduction (2) estimate sequence (2) stochastic optimization (2) proximal operator (1) stochastic variance reduced gradient (1) stochastic composite optimization (1) stochastic noise (1) stochastic gradient descent (1) convex optimization (1) gradient descent (1) strongly convex (1)

Papers

Estimate Sequences for Stochastic Composite Optimization: Variance Reduction, Acceleration, and Robustness to Noise JMLR 2020 A Generic Acceleration Framework for Stochastic Composite Optimization NeurIPS 2019 Estimate Sequences for Variance-Reduced Stochastic Composite Optimization ICML 2019