I am a PhD student in Carnegie Mellon University's Computer Science Department advised by Nina Balcan and Ameet Talwalkar. My research focuses on foundations and applications of machine learning, most recently meta-learning, unsupervised representation learning, and natural language processing. Previously, I received an AB in Mathematics and an MSE in Computer Science from Princeton University, where I worked with Sanjeev Arora.
Geometry-Aware Gradient Algorithms for Neural Architecture Search.
Liam Li*, Mikhail Khodak*, Maria-Florina Balcan, Ameet Talwalkar.
A Sample Complexity Separation between Non-Convex and Convex Meta-Learning. To Appear in ICML 2020.
Differentially Private Meta-Learning. ICLR 2020.
Adaptive Gradient-Based Meta-Learning Methods. NeurIPS 2019.
A Theoretical Analysis of Contrastive Unsupervised Representation Learning. ICML 2019.
Provable Guarantees for Gradient-Based Meta-Learning. ICML 2019.