| 2025 | AISTATS | Estimation of Large Zipfian Distributions with Sort and Snap. | Peter Matthew Jacobs, Anirban Bhattacharya, Debdeep Pati, Lekha Patel, Jeff M. Phillips |
| 2025 | AISTATS | Robust Estimation in metric spaces: Achieving Exponential Concentration with a Frchet Median. | Jakwang Kim, Jiyoung Park, Anirban Bhattacharya |
| 2022 | AISTATS | Structured variational inference in Bayesian state-space models. | Honggang Wang, Anirban Bhattacharya, Debdeep Pati, Yun Yang |
| 2021 | AISTATS | A Hybrid Approximation to the Marginal Likelihood. | Eric Chuu, Debdeep Pati, Anirban Bhattacharya |
| 2021 | AISTATS | Statistical Guarantees for Transformation Based Models with applications to Implicit Variational Inference. | Sean Plummer, Shuang Zhou, Anirban Bhattacharya, David B. Dunson, Debdeep Pati |
| 2021 | ICTAI | Statistical Guarantees and Algorithmic Convergence Issues of Variational Boosting. | Biraj Subhra Guha, Anirban Bhattacharya, Debdeep Pati |
| 2020 | ICML | Exploration Through Reward Biasing: Reward-Biased Maximum Likelihood Estimation for Stochastic Multi-Armed Bandits. | Xi Liu, Ping-Chun Hsieh, Yu-Heng Hung, Anirban Bhattacharya, P. R. Kumar |
| 2019 | ICML | Stay With Me: Lifetime Maximization Through Heteroscedastic Linear Bandits With Reneging. | Ping-Chun Hsieh, Xi Liu, Anirban Bhattacharya, P. R. Kumar |
| 2018 | AISTATS | On Statistical Optimality of Variational Bayes. | Debdeep Pati, Anirban Bhattacharya, Yun Yang |
| 2012 | VLSID | Analysis of the Pull-In Phenomenon in Microelectromechanical Varactors. | Anindya Lal Roy, Anirban Bhattacharya, Ritesh Ray Chaudhuri, Tarun Kanti Bhattacharyya |