Skip to content
conftrace_

Zheng Qu

6 papers · 2015–2021 · 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

Jump to papers ↓
๐ŸŒ Conference Polyglot ยท Bronze ๐Ÿƒ Academic Marathon ยท Sprint ๐ŸŒ‰ Interdisciplinary Bridge ยท Bronze ๐Ÿฃ Hot Topic Early Bird ๐Ÿ† Keyword Champion (2)

Venues

ICML (4) JMLR (1) NeurIPS (1)

Top co-authors

Peter Richtarik (6) Xun Qian (2) Olivier Fercoq (1) Tong Zhang (1) Dominik Csiba (1) Martin Takac (1) Yang Yuan (1) Zeyuan Allen-Zhu (1)

Research topics

Machine Learning (6) Mathematics & Optimization (6) Optimization (6) Optimization & Theory ยท Machine Learning (6) Deep Learning (1) Optimization & Theory ยท Deep Learning (1)

Keywords

empirical risk minimization (3) importance sampling (3) stochastic gradient descent (3) stochastic optimization (3) coordinate descent (2) convex optimization (2) dual coordinate ascent (2) finite-sum optimization (2) dual ascent (2) accelerated gradient descent (1) newton method (1) loopless svrg (1) mini-batch update (1) adaptive probability (1) local curvature (1) stochastic sampling (1) smooth convex function (1) loopless method (1) arbitrary sampling (1) accelerated coordinate descent (1)

Papers

L-SVRG and L-Katyusha with Arbitrary Sampling JMLR 2021 SAGA with Arbitrary Sampling ICML 2019 Even Faster Accelerated Coordinate Descent Using Non-Uniform Sampling ICML 2016 SDNA: Stochastic Dual Newton Ascent for Empirical Risk Minimization ICML 2016 Quartz: Randomized Dual Coordinate Ascent with Arbitrary Sampling NeurIPS 2015 Stochastic Dual Coordinate Ascent with Adaptive Probabilities ICML 2015