Pulications

• A Primal-Dual-Assisted Penalty Approach to Bilevel Optimization with Coupled Constraints

  • Liuyuan Jiang, Quan Xiao, Victor M. Tenorio, Fernando Real-Rojas, Antonio G. Marques, Tianyi Chen

  • Proc. of Neural Information Processing Systems (NeurIPS), 2024.

• A Bilevel Optimization Method for Inverse Mean-Field Games

  • Jiajia Yu, Quan Xiao, Tianyi Chen, and Rongjie Lai

  • Inverse Problems. Aug. 2024.

• A Generalized Alternating Method for Bilevel Learning under the Polyak-Lojasiewicz Condition

  • Quan Xiao, Songtao Lu, Tianyi Chen

  • Proc. of Neural Information Processing Systems (NeurIPS), 2023.

• Lazy Queries Can Reduce Variance in Zeroth-order Optimization

  • Quan Xiao, Qing Ling, Tianyi Chen

  • IEEE Transactions on Signal Processing, Sep. 2023.

• Alternating Implicit Projected SGD and Its Efficient Variants for Equality-constrained Bilevel Optimization

  • Quan Xiao, Han Shen, Wotao Yin, Tianyi Chen

  • A short version was accepted by Proc. of Intl. Conf. on Artificial Intelligence and Statistics (AISTATS), 2023.

• Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning

  • Momin Abbas *, Quan Xiao *, Lisha Chen*, Pin-Yu Chen and Tianyi Chen ( * equal contributor)

  • Proc. of International Conference on Machine Learning (ICML), 2022.

• Federated Multi-armed Bandit via Uncoordinated Exploration

  • Zirui Yan, Quan Xiao, Tianyi Chen, Ali Tajer

  • Proc. of Intl. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), 2022.

• A Single-Timescale Method for Stochastic Bilevel Optimization

  • Tianyi Chen, Yuejiao Sun, Quan Xiao and Wotao Yin

  • Proc. of Intl. Conf. on Artificial Intelligence and Statistics (AISTATS), 2022. (Oral, top 2% of all submissions)

• Genome-wide Association Studies of Brain Imaging Data via Weighted Distance Correlations

  • Canhong Wen, Yuhui Yang, Quan Xiao, Meiyan Huang and Wenliang Pan

  • Bioinformatics, 2020.

• Image denoising via K-SVD with primal-dual active set algorithm

  • Quan Xiao, Canhong Wen and Zirui Yan

  • Proc. of Winter conference on Applications of Computer Vision (WACV), 2020.

Preprints

• Pipeline Gradient-based Model Training on Analog In-memory Accelerators

  • Zhaoxian Wu, Quan Xiao, Tayfun Gokmen, Hsinyu Tsai, Kaoutar El Maghraoui, and Tianyi Chen

• Unlocking Global Optimality in Bilevel Optimization: A Pilot Study

  • Quan Xiao, and Tianyi Chen

• On Penalty-based Bilevel Gradient Descent Method

  • Han Shen, Quan Xiao, and Tianyi Chen