Full Professor, Princeton University
3 papers at NeurIPS 2025
We give a new algorithm for online control of partially observed LDS based on spectral filtering with exponential improvement in running time.
distillation of high dimensional LDS to low dimension
We provide a method of preconditioning sequential data and formally prove it improves the regret bound of several methods and experimentally show it improves the performance of many models.