My current and ongoing projects

Ongoing Work

1. Banerjee, I., Honnappa, H., & Rao, V. A. (2023+). Histogram based optimal estimation for controlled Markov chains
2. Banerjee, I., & Honorio, J. (2023+). Fair Combinatorial Logistic Regression: Sparsistency and Sample complexity.
3. Banerjee, I., & Jaiswal, P. (2023+). A Variational Approach to Thompson Sampling for Offline Bandits

Submitted/Published Work

1. Banerjee, I., Honnappa, H., & Rao, V. A. (2022) Offline Estimation of Controlled Markov Chains: Minimax Nonparametric Estimators and Sample Efficiency Arxiv
2. Banerjee, I., & Honorio, J. (2022). Meta Sparse Principle Component Analysis. Arxiv
3. Banerjee, I., Rao, V. A., & Honnappa, H. (2021). PAC-Bayes Bounds on Variational Tempered Posteriors for Markov Models. Entropy, 23(3), 313. Approximate Bayesian Inference, Entropy
4. Banerjee, I., Mullick, S. S., & Das, S. (2018). On Convergence of the Class Membership Estimator in Fuzzy $ k $-Nearest Neighbor Classifier. IEEE Transactions on Fuzzy Systems, 27(6), 1226-1236. Transactions on Fuzzy Sets and Systems