Pati, Debdeep

13 publications

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

ICML 2025 Global-Local Dirichlet Processes for Clustering Grouped Data in the Presence of Group-Specific Idiosyncratic Variables Arhit Chakrabarti, Yang Ni, Debdeep Pati, Bani Mallick

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

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

JMLR 2023 Gaussian Processes with Errors in Variables: Theory and Computation Shuang Zhou, Debdeep Pati, Tianying Wang, Yun Yang, Raymond J. Carroll

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

JMLR 2020 Bayesian Closed Surface Fitting Through Tensor Products Olivier Binette, Debdeep Pati, David B. Dunson

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