Xuxing Chen

5 papers · 2023–2025 · 4 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 (12)

Venues

JMLR (2) ICML (1) NeurIPS (1) UAI (1)

Top co-authors

Krishnakumar Balasubramanian (3) Tesi Xiao (2) Shiqian Ma (2) Minhui Huang (2) Kaiyi Ji (1) Lifeng LAI (1) Yifan Hu (1) Saeed Ghadimi (1) Krishna Balasubramanian (1) Abhishek Roy (1)

Research topics

Machine Learning (5) Optimization & Theory (5) Mathematics & Optimization (3) Optimization (3) Artificial Intelligence (1) Core Methods (1) Learning Paradigms · Machine Learning (1) Learning Paradigms · Artificial Intelligence (1) Learning Types (1)

Keywords

bilevel optimization (3) stochastic optimization (3) decentralized optimization (2) sample complexity (1) oracle complexity (1) strong convexity (1) implicit differentiation (1) neumann series (1) rate of convergence (1) online algorithm (1) convergence rate (1) proximal algorithm (1) streaming data (1) instrumental variable regression (1) least square (1) saddle point (1) gradient descent ascent (1) smoothness condition (1) stochastic composite optimization (1) local minimum (1)

Papers

Efficiently Escaping Saddle Points in Bilevel Optimization JMLR 2025 Optimal Algorithms for Stochastic Bilevel Optimization under Relaxed Smoothness Conditions JMLR 2024 Stochastic Optimization Algorithms for Instrumental Variable Regression with Streaming Data NeurIPS 2024 A one-sample decentralized proximal algorithm for non-convex stochastic composite optimization UAI 2023 Decentralized Stochastic Bilevel Optimization with Improved per-Iteration Complexity ICML 2023