Posterior consistency in conditional distribution estimation. - Debdeep Pati; David B. Dunson; Surya T. Tokdar (J. Multivar. Anal., 2013)

Bayesian Clustering of Shapes of Curves. - Zhengwu Zhang; Debdeep Pati; Anuj Srivastava (CoRR, 2015)

Optimal Bayesian estimation in random covariate design with a rescaled Gaussian process prior. - Debdeep Pati; Anirban Bhattacharya; Guang Cheng (J. Mach. Learn. Res., 2015)

Variable selection using shrinkage priors. - Hanning Li; Debdeep Pati (Comput. Stat. Data Anal., 2017)

On Statistical Optimality of Variational Bayes. - Debdeep Pati; Anirban Bhattacharya; Yun Yang (AISTATS, 2018)

Shape-Constrained and Unconstrained Density Estimation Using Geometric Exploration. - Sutanoy Dasgupta; Debdeep Pati; Ian H. Jermyn; Anuj Srivastava (SSP, 2018)

LoSI: Large scale location inference through FM signal integration and estimation. - Tathagata Mukherjee; Piyush Kumar; Debdeep Pati; Erik Blasch; Eduardo Pasiliao; Liqin Xu (Big Data Min. Anal., 2019)

Dynamics of Coordinate Ascent Variational Inference: A Case Study in 2D Ising Models. - Sean Plummer; Debdeep Pati; Anirban Bhattacharya (Entropy, 2020)

Bayesian Closed Surface Fitting Through Tensor Products. - Olivier Binette; Debdeep Pati; David B. Dunson (J. Mach. Learn. Res., 2020)

Efficient Bayesian shape-restricted function estimation with constrained Gaussian process priors. - Pallavi Ray; Debdeep Pati; Anirban Bhattacharya (Stat. Comput., 2020)

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 013; Anirban Bhattacharya; David B. Dunson; Debdeep Pati (AISTATS, 2021)

Statistical Guarantees and Algorithmic Convergence Issues of Variational Boosting. - Biraj Subhra Guha; Anirban Bhattacharya; Debdeep Pati (ICTAI, 2021)

Off-Policy Evaluation Using Information Borrowing and Context-Based Switching. - Sutanoy Dasgupta; Yabo Niu; Kishan Panaganti; Dileep Kalathil; Debdeep Pati; Bani K. Mallick (CoRR, 2021)

Modality-Constrained Density Estimation via Deformable Templates. - Sutanoy Dasgupta; Debdeep Pati; Ian H. Jermyn; Anuj Srivastava (Technometrics, 2021)

Structured variational inference in Bayesian state-space models. - Honggang Wang; Anirban Bhattacharya; Debdeep Pati; Yun Yang (AISTATS, 2022)

Statistical Optimality and Stability of Tangent Transform Algorithms in Logit Models. - Indrajit Ghosh; Anirban Bhattacharya; Debdeep Pati (J. Mach. Learn. Res., 2022)

Robust probabilistic inference via a constrained transport metric. - Abhisek Chakraborty; Anirban Bhattacharya; Debdeep Pati (CoRR, 2023)

Fair Clustering via Hierarchical Fair-Dirichlet Process. - Abhisek Chakraborty; Anirban Bhattacharya; Debdeep Pati (CoRR, 2023)

On the Convergence of Coordinate Ascent Variational Inference. - Anirban Bhattacharya; Debdeep Pati; Yun Yang (CoRR, 2023)

Generalized Regret Analysis of Thompson Sampling using Fractional Posteriors. - Prateek Jaiswal; Debdeep Pati; Anirban Bhattacharya; Bani K. Mallick (CoRR, 2023)

Gaussian Processes with Errors in Variables: Theory and Computation. - Shuang Zhou 013; Debdeep Pati; Tianying Wang; Yun Yang; Raymond J. Carroll (J. Mach. Learn. Res., 2023)

A Gibbs Posterior Framework for Fair Clustering. - Abhisek Chakraborty; Anirban Bhattacharya; Debdeep Pati (Entropy, 2024)

Constrained Reweighting of Distributions: An Optimal Transport Approach. - Abhisek Chakraborty; Anirban Bhattacharya; Debdeep Pati (Entropy, 2024)

EPSOM-Hyb: A General Purpose Estimator of Log-Marginal Likelihoods with Applications in Probabilistic Graphical Models. - Eric Chuu; Yabo Niu; Anirban Bhattacharya; Debdeep Pati (Algorithms, 2024)

Algorithm 1045: A Covariate-Dependent Approach to Gaussian Graphical Modeling in R. - Jacob Helwig; Sutanoy Dasgupta; Peng Zhao 021; Bani K. Mallick; Debdeep Pati (ACM Trans. Math. Softw., 2024)

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

Asymptotic Behavior of the Coordinate Ascent Variational Inference in Singular Models. - Sean Plummer; Anirban Bhattacharya; Debdeep Pati; Yun Yang (CPAL, 2025)

Blocked Gibbs Sampler for Hierarchical Dirichlet Processes. - Snigdha Das; Yabo Niu; Yang Ni; Bani K. Mallick; Debdeep Pati (J. Comput. Graph. Stat., 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 (Trans. Mach. Learn. Res., 2025)