Publications and Preprints

Publications

• Optimal Algorithms for Stochastic Bilevel Optimization under Relaxed Smoothness Conditions, JMLR 2024.
  • Xuxing Chen*, Tesi Xiao*, Krishnakumar Balasubramanian.
• From Stability to Chaos: Analyzing Gradient Descent Dynamics in Quadratic Regression, TMLR 2024.
  • Xuxing Chen, Krishnakumar Balasubramanian, Promit Ghosal, Bhavya Agrawalla.
• Decentralized Bilevel Optimization, Optimization Letters 2024.
  • Xuxing Chen, Minhui Huang, Shiqian Ma.
• Decentralized Stochastic Bilevel Optimization with Improved per-Iteration Complexity, ICML 2023.
  • Xuxing Chen, Minhui Huang, Shiqian Ma, Krishnakumar Balasubramanian.
• A One-Sample Decentralized Proximal Algorithm for Non-Convex Stochastic Composite Optimization, UAI 2023.
  • Tesi Xiao*, Xuxing Chen*, Krishnakumar Balasubramanian, Saeed Ghadimi.

Preprints

• Stochastic Optimization Algorithms for Instrumental Variable Regression with Streaming Data, 2024.
  • Xuxing Chen*, Abhishek Roy*, Yifan Hu, Krishnakumar Balasubramanian.
• Problem-Parameter-Free Decentralized Nonconvex Stochastic Optimization, 2024.
  • Jiaxiang Li, Xuxing Chen, Shiqian Ma, Mingyi Hong.
• Efficiently Escaping Saddle Points in Bilevel Optimization, 2023.
  • Minhui Huang*, Xuxing Chen*, Kaiyi Ji, Shiqian Ma, Lifeng Lai.
• Stochastic Approximation Algorithms for Nested Compositional Bi-level Optimization, 2023.
  • Xuxing Chen, Krishnakumar Balasubramanian, Saeed Ghadimi.

(‘*’ denotes equal contributions)