Anirban Bhattacharya

7 catalog papers. Name-matched publications do not establish a verified researcher identity.

Publications

• Graph-accelerated Markov Chain Monte Carlo using Approximate Samples — Journal of Machine Learning Research 2025 (name-matched, not ORCID-linked)
• Structured Optimal Variational Inference for Dynamic Latent Space Models — Journal of Machine Learning Research 2024 (name-matched, not ORCID-linked)
• Statistical Optimality and Stability of Tangent Transform Algorithms in Logit Models — Journal of Machine Learning Research 2022 (name-matched, not ORCID-linked)
• Scalable Approximate MCMC Algorithms for the Horseshoe Prior — Journal of Machine Learning Research 2020 (name-matched, not ORCID-linked)
• Tensor decompositions and sparse log-linear models — The Annals of Statistics 2017 (name-matched, not ORCID-linked)
• Optimal Bayesian Estimation in Random Covariate Design with a Rescaled Gaussian Process Prior — Journal of Machine Learning Research 2015 (name-matched, not ORCID-linked)
• Posterior contraction in sparse Bayesian factor models for massive covariance matrices — The Annals of Statistics 2014 (name-matched, not ORCID-linked)