D. Pati

Debdeep Pati, Abhra Sarkar, Raymond J Carroll, 2014, Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America.

Probabilistic Community Detection With Unknown Number of Communities

Anirban Bhattacharya, Debdeep Pati, Junxian Geng, 2016, Journal of the American Statistical Association.

Bayesian optimization with adaptive surrogate models for automated experimental design

B. Mallick, A. Bhattacharya, D. Pati, 2021, npj Computational Materials.

Adaptive Posterior Convergence Rates in Bayesian Density Deconvolution with Supersmooth Errors

R. Carroll, B. Mallick, D. Pati, 2013, 1308.5427.

Gaussian Processes with Errors in Variables: Theory and Computation

R. Carroll, D. Pati, Yun Yang, 2019, J. Mach. Learn. Res..

Bayesian Semiparametric Multivariate Density Deconvolution

Debdeep Pati, Abhra Sarkar, Raymond J Carroll, 2014, Journal of the American Statistical Association.

Tail-adaptive Bayesian shrinkage

B. Mallick, D. Pati, Se Yoon Lee, 2021 .

Structured variational inference in Bayesian state-space models

A. Bhattacharya, D. Pati, Yun Yang, 2022, AISTATS.

Bayesian Clustering of Shapes of Curves pdf

Zhengwu Zhang, Debdeep Pati, Anuj Srivastava, 2015, ArXiv.

Bayesian Shape Clustering

Zhengwu Zhang, Debdeep Pati, Anuj Srivastava, 2015 .

Radius and equation of state constraints from massive neutron stars and GW190814

A. Bhattacharya, D. Pati, Y. Lim, 2020, Physical Review C.

Robust probabilistic inference via a constrained transport metric

A. Bhattacharya, D. Pati, Abhisek Chakraborty, 2023, ArXiv.

A monotone single index model for missing-at-random longitudinal proportion data

Shumei S. Sun, D. Pati, D. Bandyopadhyay, 2022, bioRxiv.

Bayesian Hierarchical Modeling on Covariance Valued Data

Satwik Acharyya, Zhengwu Zhang, Anirban Bhattacharya, 2018, Stat.

Efficient Bayesian shape-restricted function estimation with constrained Gaussian process priors

Anirban Bhattacharya, Debdeep Pati, Pallavi Ray, 2019, Statistics and Computing.

LoSI: Large scale location inference through FM signal integration and estimation

Debdeep Pati, Tathagata Mukherjee, Piyush Kumar, 2019, Big Data Min. Anal..

Bayesian Copula Density Deconvolution for Zero-Inflated Data in Nutritional Epidemiology

Debdeep Pati, Bani K. Mallick, Abhra Sarkar, 2019, Journal of the American Statistical Association.

Posterior consistency in conditional distribution estimation

David B. Dunson, Debdeep Pati, Surya T. Tokdar, 2013, J. Multivar. Anal..

Factorized Fusion Shrinkage for Dynamic Relational Data

B. Mallick, A. Bhattacharya, D. Pati, 2022, 2210.00091.

Adaptive Bayesian inference in the Gaussian sequence model using exponential-variance priors

A. Bhattacharya, D. Pati, 2015 .

Modality-Constrained Density Estimation via Deformable Templates

Debdeep Pati, Anuj Srivastava, Sutanoy Dasgupta, 2021, Technometrics.

Semiparametric Bayesian latent variable regression for skewed multivariate data

S. Lipsitz, D. Pati, D. Sinha, 2019, Biometrics.

Bayesian Multiscale Modeling of Closed Curves in Point Clouds

Debdeep Pati, David B Dunson, D. Dunson, 2014, Journal of the American Statistical Association.

Fair Clustering via Hierarchical Fair-Dirichlet Process

A. Bhattacharya, D. Pati, Abhisek Chakraborty, 2023, ArXiv.

Blocked Gibbs sampler for hierarchical Dirichlet processes

B. Mallick, D. Pati, Yang Ni, 2023, 2304.09945.

Statistical Guarantees for Transformation Based Models with Applications to Implicit Variational Inference

Debdeep Pati, David Dunson, Anirban Bhattacharya, 2020, AISTATS.

On Statistical Optimality of Variational Bayes

A. Bhattacharya, D. Pati, Yun Yang, 2017, AISTATS.

Covariate-Assisted Bayesian Graph Learning for Heterogeneous Data

B. Mallick, D. Pati, Yang Ni, 2023, Journal of the American Statistical Association.

A Two-Step Geometric Framework For Density Modeling

Debdeep Pati, Anuj Srivastava, Sutanoy Dasgupta, 2017, Statistica Sinica.

Compressed Covariance Estimation with Automated Dimension Learning

Anirban Bhattacharya, Debdeep Pati, Gautam Sabnis, 2017, Sankhya A.

On the Convergence of Coordinate Ascent Variational Inference

A. Bhattacharya, D. Pati, Yun Yang, 2023, ArXiv.

Monte Carlo goodness-of-fit tests for degree corrected and related stochastic blockmodels

D. Pati, Bowei Yan, Vishesh Karwa, 2016, 1612.06040.

Divide-and-conquer for covariance matrix estimation

Debdeep Pati, Barbara E. Engelhardt, Natesh S. Pillai, 2016 .

A Divide and Conquer Strategy for High Dimensional Bayesian Factor Models

N. Pillai, D. Pati, Barbara Engelhardt, 2016, 1612.02875.

Adaptive posterior convergence in sparse high dimensional clipped generalized linear models

Debdeep Pati, Biraj Subhra Guha, D. Pati, 2021, 2103.08092.

Generalized Regret Analysis of Thompson Sampling using Fractional Posteriors

B. Mallick, A. Bhattacharya, D. Pati, 2023, ArXiv.

Sub-optimality of some continuous shrinkage priors

N. Pillai, D. Dunson, A. Bhattacharya, 2016, 1605.05671.

Bayesian nonparametric regression with varying residual density

D. Dunson, D. Pati, 2013, Annals of the Institute of Statistical Mathematics.

Constrained Reweighting of Distributions: An Optimal Transport Approach

A. Bhattacharya, D. Pati, Abhisek Chakraborty, 2023, Entropy.

Semiparametric Bayesian latent variable regression for skewed multivariate data

S. Lipsitz, D. Pati, D. Sinha, 2019, Biometrics.

Off-Policy Evaluation Using Information Borrowing and Context-Based Switching pdf

Debdeep Pati, Dileep Kalathil, Bani Mallick, 2021, ArXiv.

Posterior contraction in Gaussian process regression using Wasserstein approximations

A. Bhattacharya, D. Pati, 2015 .

Bayesian Closed Surface Fitting Through Tensor Products

David B. Dunson, Debdeep Pati, Olivier Binette, 2020, J. Mach. Learn. Res..

Tail-adaptive Bayesian shrinkage

B. Mallick, D. Pati, Se Yoon Lee, 2020, 2007.02192.