Research and projects
Research and projects
Here is a selected list of my publications. For more details, please see my CV and my Google Scholar .
Patrick P. , Bhattacharya R., Hariharan A. and Zhang R. (2024). Gradient-based discrete sampling with automatic cyclical scheduling. Advances in Neural Information Processing Systems
Bhattacharya R., Sun W., Nguyen T. and Tawarmalani M.(2024). Active Learning for Fair and Stable Allocations EC '24: Proceedings of the 25th ACM Conference on Economics and Computation
Bhattacharya R. and Jones G. (2025). Explicit Constraints on the Geometric Rate of Convergence of Random Walk Metropolis-Hastings. Bernoulli
Bhattacharya R. and Jiang T. (2026). Non-asymptotic analysis of online noisy stochastic gradient descent. Advances in Applied Probability
Bhattacharya R., Banerjee I. and Chakraborty S. (2026). Adaptive Model Selection in Offline Contextual MDP's without Stationarity. - To appear in TMLR.
Wang H., Tian Z., Bhattacharya R., et al. Toward a Deeper Understanding of PREVENT for 10‐Year Atherosclerotic Cardiovascular Risk: Subgroup Fairness and Predictive Value of Social Determinants of Health - Submitted to Journal of Heart Association
Bhattacharya R. and Jiang T., Dynamics of Langevin Monte Carlo with Approximate Gradient - Submitted to EJS, Preprint on request
Wang H., Bhattacharya R., et al. Towards Fair Predictions: Group Conditional Concordance Index to Quantify Fairness in Time-to-Event Prognostication - Submitted to Statistics in Medicine, Preprint on request