Debdeep Pati

According to our database, Debdeep Pati authored at least 26 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Algorithm 1045: A Covariate-Dependent Approach to Gaussian Graphical Modeling in R.

Jacob Helwig, Sutanoy Dasgupta, Peng Zhao, Bani K. Mallick, Debdeep Pati

ACM Trans. Math. Softw., June, 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, May, 2024

Constrained Reweighting of Distributions: An Optimal Transport Approach.

Abhisek Chakraborty, Anirban Bhattacharya, Debdeep Pati

Entropy, March, 2024

A Gibbs Posterior Framework for Fair Clustering.

Abhisek Chakraborty, Anirban Bhattacharya, Debdeep Pati

Entropy, January, 2024

2023

Gaussian Processes with Errors in Variables: Theory and Computation.

Shuang Zhou, Debdeep Pati, Tianying Wang, Yun Yang, Raymond J. Carroll

J. Mach. Learn. Res., 2023

Generalized Regret Analysis of Thompson Sampling using Fractional Posteriors.

Prateek Jaiswal, Debdeep Pati, Anirban Bhattacharya, Bani K. Mallick

CoRR, 2023

On the Convergence of Coordinate Ascent Variational Inference.

Anirban Bhattacharya, Debdeep Pati, Yun Yang

CoRR, 2023

Fair Clustering via Hierarchical Fair-Dirichlet Process.

Abhisek Chakraborty, Anirban Bhattacharya, Debdeep Pati

CoRR, 2023

Robust probabilistic inference via a constrained transport metric.

Abhisek Chakraborty, Anirban Bhattacharya, Debdeep Pati

CoRR, 2023

2022

Statistical Optimality and Stability of Tangent Transform Algorithms in Logit Models.

Indrajit Ghosh, Anirban Bhattacharya, Debdeep Pati

J. Mach. Learn. Res., 2022

Structured variational inference in Bayesian state-space models.

Honggang Wang, Anirban Bhattacharya, Debdeep Pati, Yun Yang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Modality-Constrained Density Estimation via Deformable Templates.

Sutanoy Dasgupta, Debdeep Pati, Ian H. Jermyn, Anuj Srivastava

Technometrics, 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

Statistical Guarantees and Algorithmic Convergence Issues of Variational Boosting.

Biraj Subhra Guha, Anirban Bhattacharya, Debdeep Pati

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Statistical Guarantees for Transformation Based Models with applications to Implicit Variational Inference.

Sean Plummer, Shuang Zhou, Anirban Bhattacharya, David B. Dunson, Debdeep Pati

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

A Hybrid Approximation to the Marginal Likelihood.

Eric Chuu, Debdeep Pati, Anirban Bhattacharya

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

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

Pallavi Ray, Debdeep Pati, Anirban Bhattacharya

Stat. Comput., 2020

Bayesian Closed Surface Fitting Through Tensor Products.

Olivier Binette, Debdeep Pati, David B. Dunson

J. Mach. Learn. Res., 2020

Dynamics of Coordinate Ascent Variational Inference: A Case Study in 2D Ising Models.

Sean Plummer, Debdeep Pati, Anirban Bhattacharya

Entropy, 2020

2019

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

2018

Shape-Constrained and Unconstrained Density Estimation Using Geometric Exploration.

Sutanoy Dasgupta, Debdeep Pati, Ian H. Jermyn, Anuj Srivastava

Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

On Statistical Optimality of Variational Bayes.

Debdeep Pati, Anirban Bhattacharya, Yun Yang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Variable selection using shrinkage priors.

Hanning Li, Debdeep Pati

Comput. Stat. Data Anal., 2017

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

Bayesian Clustering of Shapes of Curves.

Zhengwu Zhang, Debdeep Pati, Anuj Srivastava

CoRR, 2015

2013

Posterior consistency in conditional distribution estimation.

Debdeep Pati, David B. Dunson, Surya T. Tokdar

J. Multivar. Anal., 2013