Publications and preprints

Publications

• 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

• From Stability to Chaos: Analyzing Gradient Descent Dynamics in Quadratic Regression. 2023.
  Xuxing Chen, Krishnakumar Balasubramanian, Promit Ghosal, Bhavya Agrawalla.

• Stochastic Nested Compositional Bi-level Optimization for Robust Feature Learning. 2023.
  Xuxing Chen, Krishnakumar Balasubramanian, Saeed Ghadimi.

• Optimal Algorithms for Stochastic Bilevel Optimization under Relaxed Smoothness Conditions. 2023.
  Xuxing Chen*, Tesi Xiao*, Krishnakumar Balasubramanian.

• Efficiently Escaping Saddle Points in Bilevel Optimization. 2023.
  Minhui Huang*, Xuxing Chen*, Kaiyi Ji, Shiqian Ma, Lifeng Lai.

• Decentralized Bilevel Optimization. 2022.
  Xuxing Chen, Minhui Huang, Shiqian Ma.

(“*” denotes equal contribution.)