2025
A satellite image dataset for traffic accident prediction and causal analysis.
A new paper on training neural networks to understand algorithmic reasoning!
A new algorithm for multi-objective and meta reinforcement learning!
Talk slides about recent work on in-context learning and a Hessian view of grokking.
New paper on a linear-time data selection algorithm for in-context learning.
An updated paper on transfer learning random matrices accepted at JMLR! We analyze a (classical) hard parameter sharing estimator and find that simply rebalancing the data leads to minimax optimal rates.
New manucript on an ensemble method for fine-tuning LLMs, built on top of LoRA.
2024
Aug 2024 (paper): Presenting a paper at KDD’24! Unforunately we could not attend the conference at Barcelona due to visa restrictions.
Aug 2024 (paper): New paper released on a simple, tree-structured design of data augmentation composition.
Aug 2024 (service): I will serve as a senior PC member for AAAI’25.
Jul 2024: Congrats to Dongyue Li for receiving JP Morgan Chase PhD fellowship!
Jul 2024 (service): I'm excited to serve as an Action Editor for The Journal of Data-centric Machine Learning Research (DMLR).
Jul 2024 (service): I served as a reviewer for NeurIPS’24 Workshop Proposals.
Jun 2024 (talk): I gave a talk at MSOM’24 about our recent boosting approach to multitask learning. Here is my slide.
Apr 2024 (service): I organized a session at INFORMS, Seattle this year. Our session is titled “Multitask and federated learning: Challenges of optimization under heterogeneity.” This is jointly organized with Prof. Yang from TAMU.
Mar 2024 (talk): I gave a talk that summarizes our recent work on multitask learning! Here are my slides.
Jan 2024 (service): I served as a reviewer for NSF! Excited to read a lot of new research ideas.
Jan 2024 (service): Excited to serve as an area chair of ICML’24!
Older updates: See here.