I am a postdoctoral research associate at University of Illinois at Urbana-Champaign. My research interests include learning theory, stochastic control and theoretical statistics.
During my doctoral research, I worked on incorporating the continuous time dimension into the online learning and stochastic optimization framework, which is a fundamental problem in the optimal control of communication and computing systems among many other applications. Check out my Google Scholar profile for a list of my recent papers.
- Does restarting a prolonged task expedite the completion and improve time-efficiency? How can you learn optimal restart strategies with bandit feedback? "Continuous-Time Multi-Armed Bandits with Controlled Restarts", joint work with Atilla Eryilmaz and R. Srikant, is now available. [link]
- New paper on fair online learning in continuous time, joint work with Swati Gupta and Atilla Eryilmaz, is on ArXiv. [link]