I am a post-doctoral researcher in the Department of Biostatistics, Epidemiology, and Informatics at the University of Pennsylvania, hosted by Li Shen and Qi Long. I am also affiliated with ASSET (Center for AI-enabled systems: Safe, Explainable, and Trustworthy). Previously, I was a post-doctoral researcher in the Department of Electrical Engineering and Computer Science at the University of Michigan, hosted by Laura Balzano. I received my Ph.D. in Mathematics from the University of Florida, where I was co-advised by William W. Hager and George Michailidis.
Research Interests
Optimization Algorithms for Machine Learning
- FedNest: Federated Bilevel, Minimax, and Compositional Optimization (with Mingchen Li, Christos Thrampoulidis, and Samet Oymak), ICML, 2022.
- Online Bilevel Optimization: Regret Analysis of Online Alternating Gradient Methods (with Parvin Nazari, Bojian Hou, Li Shen, and Laura Balzano), AISTATS, 2024.
High-Dimensional and Tensorial Data Analysis
- Regularized and Smooth Double Core Tensor Factorization for Heterogeneous Data (with George Michailidis), JMLR, 2022.
- Estimation of Graphical Models through Structured Norm Minimization (with George Michailidis), JMLR, 2018.
Implicit Bias of Attention Mechanism and Transformers
- Max-Margin Token Selection in Attention Mechanism (with Yingcong Li, Xuechen Zhang, and Samet Oymak), NeurIPS, 2023.
- Transformers as Support Vector Machines (with Yingcong Li, Christos Thrampoulidis, and Samet Oymak), Preliminary Version at NeurIPS M3L Workshop, 2023.
Fairness in Machine Learning
- Fair Canonical Correlation Analysis (with Zhuoping Zhou, Bojian Hou, Boning Tong, Jia Xu, Yanbo Feng, Qi Long, and Li Shen), NeurIPS, 2023.
- Fair Community Detection and Structure Learning in Heterogeneous Graphical Models (with Laura Balzano and Alfred O. Hero), Preprint, 2023.