Yuejiao Sun

5 papers · 2018–2022 · 2 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 🗺️ Taxonomy Completionist (10) 🐣 Hot Topic Early Bird

Venues

NeurIPS (3) AISTATS (2)

Top co-authors

Wotao Yin (4) Tianyi Chen (3) Tao Sun (2) Qing Liao (1) Ziye Guo (1) Dongsheng Li (1) Quan Xiao (1)

Research topics

Machine Learning (5) Optimization & Theory · Machine Learning (5) Mathematics & Optimization (3) Optimization (3) Artificial Intelligence (1) Deep Learning (1) Application Areas (1) Learning Paradigms (1) Optimization & Theory · Deep Learning (1)

Keywords

stochastic gradient descent (3) stochastic optimization (2) non-convex optimization (2) sample complexity (2) bilevel optimization (2) step size selection (1) distributed learning (1) gradient descent (1) markov chain (1) communication efficiency (1) markov chain sampling (1) linear convergence (1) nonconvex analysis (1) convergence guarantee (1) convergence rate (1) proximal algorithm (1) adaptive optimization (1) stochastic method (1) line search (1) sublinear convergence (1)

Papers

A Single-Timescale Method for Stochastic Bilevel Optimization AISTATS 2022 CADA: Communication-Adaptive Distributed Adam AISTATS 2021 Closing the Gap: Tighter Analysis of Alternating Stochastic Gradient Methods for Bilevel Problems NeurIPS 2021 General Proximal Incremental Aggregated Gradient Algorithms: Better and Novel Results under General Scheme NeurIPS 2019 On Markov Chain Gradient Descent NeurIPS 2018