Bhattacharya, Anirban

16 publications

NeurIPS 2025 Acceleration via Silver Step-Size on Riemannian Manifolds with Applications to Wasserstein Space Jiyoung Park, Abhishek Roy, Jonathan W. Siegel, Anirban Bhattacharya

CPAL 2025 Asymptotic Behavior of the Coordinate Ascent Variational Inference in Singular Models Sean C Plummer, Anirban Bhattacharya, Debdeep Pati, Yun Yang

AISTATS 2025 Estimation of Large Zipfian Distributions with Sort and Snap Peter Matthew Jacobs, Anirban Bhattacharya, Debdeep Pati, Lekha Patel, Jeff M. Phillips

JMLR 2025 Graph-Accelerated Markov Chain Monte Carlo Using Approximate Samples Leo L. Duan, Anirban Bhattacharya

TMLR 2025 Minimax Posterior Contraction Rates for Unconstrained Distribution Estimation on $[0,1]^d$ Under Wasserstein Distance Peter Matthew Jacobs, Lekha Patel, Anirban Bhattacharya, Debdeep Pati

AISTATS 2025 Robust Estimation in Metric Spaces: Achieving Exponential Concentration with a Fréchet Median Jakwang Kim, Jiyoung Park, Anirban Bhattacharya

JMLR 2024 Structured Optimal Variational Inference for Dynamic Latent Space Models Peng Zhao, Anirban Bhattacharya, Debdeep Pati, Bani K. Mallick

AISTATS 2022 Structured Variational Inference in Bayesian State-Space Models Honggang Wang, Anirban Bhattacharya, Debdeep Pati, Yun Yang

JMLR 2022 Statistical Optimality and Stability of Tangent Transform Algorithms in Logit Models Indrajit Ghosh, Anirban Bhattacharya, Debdeep Pati

AISTATS 2021 A Hybrid Approximation to the Marginal Likelihood Eric Chuu, Debdeep Pati, Anirban Bhattacharya

AISTATS 2021 Statistical Guarantees for Transformation Based Models with Applications to Implicit Variational Inference Sean Plummer, Shuang Zhou, Anirban Bhattacharya, David Dunson, Debdeep Pati

ICML 2020 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. Kumar

JMLR 2020 Scalable Approximate MCMC Algorithms for the Horseshoe Prior James Johndrow, Paulo Orenstein, Anirban Bhattacharya

ICML 2019 Stay with Me: Lifetime Maximization Through Heteroscedastic Linear Bandits with Reneging Ping-Chun Hsieh, Xi Liu, Anirban Bhattacharya, P R Kumar

AISTATS 2018 On Statistical Optimality of Variational Bayes Debdeep Pati, Anirban Bhattacharya, Yun Yang

JMLR 2015 Optimal Bayesian Estimation in Random Covariate Design with a Rescaled Gaussian Process Prior Debdeep Pati, Anirban Bhattacharya, Guang Cheng