3 papers
math.ST2026
Frequentist Regret Analysis of Gaussian Process Thompson Sampling via Fractional Posteriors
Somjit Roy, Prateek Jaiswal, Anirban Bhattacharya +2
We study Gaussian Process Thompson Sampling (GP-TS) for sequential decision-making over compact, continuous action spaces and provide a frequentist regret analysis based on fractio…
stat.ML2025
Deconfounded Warm-Start Thompson Sampling with Applications to Precision Medicine
Prateek Jaiswal, Esmaeil Keyvanshokooh, Junyu Cao
Randomized clinical trials often require large patient cohorts before drawing definitive conclusions, yet abundant observational data from parallel studies remains underutilized du…
eess.SY2025
Leveraging Offline Data from Similar Systems for Online Linear Quadratic Control
Shivam Bajaj, Prateek Jaiswal, Vijay Gupta
``Sim2real gap", in which the system learned in simulations is not the exact representation of the real system, can lead to loss of stability and performance when controllers learn…