My current and ongoing projects

Ongoing Work

1. Banerjee, I., Bhattacharyya, R., Chakraborty, S. (2025). Adaptive Learning and Cost Optimisation for Contextual MDP’s.
2. Banerjee, I., Lei, J., & Mehrotra, S. (2025). Nonparametric Change Point Detection for Regenerating Markov Chains and an Application in Disease Prevention. (Preprint on Request)
3. Bhattacharyya, R., Zhang, J., Li, L. , Banerjee, I., Hong, C. (2025+) An MDP Treatment to Cost Effective Healtchare.
4. Gupta, V., Gurvich, I., Banerjee, I. (2025+) Optimal Control Problem for Particle Filters with Non-Gaussian Noise.

Submitted/Published Work

1. Banerjee, I., So, T., & Klabjan, D. (2025). Central Limit Theorems for Transition Probabilities of Controlled Markov Chains Preprint
2. Banerjee, I., Honnappa, H., & Rao, V. A. (2025). Adaptive Estimation of the Transition Densities of Controlled Markov Chains. Preprint
3. Banerjee, I., Gurvich, I. (2025). Goggin’s Corrected Kalman Filter: Guarantees and Filtering Regimes. Revision invited at IEEE Tran-IT Preprint
4. Banerjee, I., Chakraborty, S. (2025). CLT and Edgeworth Expansion for m-out-of-n Bootstrap Estimators of The Studentized Median. Preprint
5. Banerjee, I., Honnappa, H., & Rao, V. A. (2025). Offline Estimation of Controlled Markov Chains: Minimaxity and Sample Complexity. Operations Research. doi: 10.1287/opre.2023.0046
6. Banerjee, I., & Honorio, J. (2023). Meta Sparse Principal Component Analysis. Major Review, TMLR. Preprint
7. Banerjee, I., Rao, V. A., & Honnappa, H. (2021). PAC-Bayes Bounds on Variational Tempered Posteriors for Markov Models. Approximate Bayesian Inference, Entropy, 23(3), 313. Entropy
8. Banerjee, I., Mullick, S. S., & Das, S. (2019). On Convergence of the Class Membership Estimator in Fuzzy k-Nearest Neighbor Classifier. IEEE Transactions on Fuzzy Systems, 27(6), 1226-1236. IEEE Transactions on Fuzzy Systems