Publications

See an updated list of publications in my Google scholar page.

Conference publications

• Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHF
  Han Shen, Zhuoran Yang, Tianyi Chen
  ICML 2024. [arxiv]

• Joint Unsupervised and Supervised Training for Automatic Speech Recognition via Bilevel Optimization
  A.F.M. Saif, Xiaodong Cui, Han Shen, Songtao Lu, Brian Kingsbury, Tianyi Chen
  ICASSP 2024.

• A Method For Bilevel Optimization With Convex Lower-level Problem
  Han Shen, Santiago Paternain, Gaowen Liu, Ramana Kompella, Tianyi Chen
  ICASSP 2024.

• On Penalty-based Bilevel Gradient Descent Method
  Han Shen, Tianyi Chen
  ICML 2023. Extended version accepted to Mathematical Programming. [PMLR]

• Alternating projected SGD for equality-constrained bilevel optimization
  Quan Xiao, Han Shen, Wotao Yin, Tianyi Chen
  AISTATS 2023. [arxiv]

• A Single-timescale Analysis for Stochastic Approximation with Multiple Coupled Sequences
  Han Shen, Tianyi Chen
  NeurIPS 2022 (oral). [arxiv]

• Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Approach
  Heshan D. Fernando, Han Shen, Miao Liu, Subhajit Chaudhury, Keerthiram Murugesan, Tianyi Chen
  ICLR 2022 (oral). [arxiv]

• Distributed Offline Policy Optimization Over Batch Data
  Han Shen, Songtao Lu, Xiaodong Cui, Tianyi Chen
  AISTATS 2022. [html]

Journal publications

• On Penalty-based Bilevel Gradient Descent Method
  Han Shen, Quan Xiao, Tianyi Chen
  Extended work of our ICML 2023 publication. Accepted in Mathematical Programming. [arxiv]

• Towards Understanding Asynchronous Advantage Actor-critic: Convergence and Linear Speedup
  Han Shen, Kaiqing Zhang, Mingyi Hong, Tianyi Chen
  IEEE Transactions on Signal Processing. [arxiv]

• Adaptive Temporal Difference Learning with Linear Function Approximation
  Tao Sun, Han Shen, Tianyi Chen, Dongsheng Li
  IEEE Transactions on Pattern Analysis and Machine Intelligence. [arxiv]

• Byzantine-resilient Decentralized Policy Evaluation with Linear Function Approximation
  Zhaoxian Wu, Han Shen, Tianyi Chen, Qing Ling
  IEEE Transactions on Signal Processing. [arxiv]