Tim Tsz-Kit Lau
Post-doc (2023-2024)
University of Chicago Booth School of Business
Tim Tsz-Kit Lau was a postdoctoral principal researcher at the University of Chicago Booth School of Business. He received his PhD in Statistics and Data Science from Northwestern University. His research lies at the intersection of statistics, machine learning and optimization, including optimizer design, batch size strategies and distributed stochastic optimization for large models.
Publications
AdAdaGrad: Adaptive Batch Size Schemes for Adaptive Gradient Methods
Statistical Learning and Data Science
Adaptive Batch Size Schedules for Distributed Training of Language Models with Data and Model Parallelism
Conference on Parsimony and Learning (CPAL)