Debdeep Pati

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 27

Top Topics

Gaussian Process

Marginal Likelihood

Variational Inference

Probabilistic Graphical Models

Top Venues

J. Mach. Learn. Res.

Publications

Abhisek Chakraborty, Anirban Bhattacharya, Debdeep Pati
A Gibbs Posterior Framework for Fair Clustering. Entropy 26 (1) (2024)
Abhisek Chakraborty, Anirban Bhattacharya, Debdeep Pati
Constrained Reweighting of Distributions: An Optimal Transport Approach. Entropy 26 (3) (2024)
Eric Chuu, Yabo Niu, Anirban Bhattacharya, Debdeep Pati
EPSOM-Hyb: A General Purpose Estimator of Log-Marginal Likelihoods with Applications in Probabilistic Graphical Models. Algorithms 17 (5) (2024)
Abhisek Chakraborty, Anirban Bhattacharya, Debdeep Pati
Constrained Reweighting of Distributions: an Optimal Transport Approach. CoRR (2023)
Anirban Bhattacharya, Debdeep Pati, Yun Yang
On the Convergence of Coordinate Ascent Variational Inference. CoRR (2023)
Prateek Jaiswal, Debdeep Pati, Anirban Bhattacharya, Bani K. Mallick
Generalized Regret Analysis of Thompson Sampling using Fractional Posteriors. CoRR (2023)
Abhisek Chakraborty, Anirban Bhattacharya, Debdeep Pati
Robust probabilistic inference via a constrained transport metric. CoRR (2023)
Abhisek Chakraborty, Anirban Bhattacharya, Debdeep Pati
Fair Clustering via Hierarchical Fair-Dirichlet Process. CoRR (2023)
Shuang Zhou, Debdeep Pati, Tianying Wang, Yun Yang, Raymond J. Carroll
Gaussian Processes with Errors in Variables: Theory and Computation. J. Mach. Learn. Res. 24 (2023)
Indrajit Ghosh, Anirban Bhattacharya, Debdeep Pati
Statistical Optimality and Stability of Tangent Transform Algorithms in Logit Models. J. Mach. Learn. Res. 23 (2022)
Honggang Wang, Anirban Bhattacharya, Debdeep Pati, Yun Yang
Structured variational inference in Bayesian state-space models. AISTATS (2022)
Sutanoy Dasgupta, Debdeep Pati, Ian H. Jermyn, Anuj Srivastava
Modality-Constrained Density Estimation via Deformable Templates. Technometrics 63 (4) (2021)
Sutanoy Dasgupta, Yabo Niu, Kishan Panaganti, Dileep Kalathil, Debdeep Pati, Bani Mallick
Off-Policy Evaluation Using Information Borrowing and Context-Based Switching. CoRR (2021)
Biraj Subhra Guha, Anirban Bhattacharya, Debdeep Pati
Statistical Guarantees and Algorithmic Convergence Issues of Variational Boosting. ICTAI (2021)
Sean Plummer, Shuang Zhou, Anirban Bhattacharya, David B. Dunson, Debdeep Pati
Statistical Guarantees for Transformation Based Models with applications to Implicit Variational Inference. AISTATS (2021)
Eric Chuu, Debdeep Pati, Anirban Bhattacharya
A Hybrid Approximation to the Marginal Likelihood. AISTATS (2021)
Sean Plummer, Debdeep Pati, Anirban Bhattacharya
Dynamics of Coordinate Ascent Variational Inference: A Case Study in 2D Ising Models. Entropy 22 (11) (2020)
Pallavi Ray, Debdeep Pati, Anirban Bhattacharya
Efficient Bayesian shape-restricted function estimation with constrained Gaussian process priors. Stat. Comput. 30 (4) (2020)
Olivier Binette, Debdeep Pati, David B. Dunson
Bayesian Closed Surface Fitting Through Tensor Products. J. Mach. Learn. Res. 21 (2020)
Sean Plummer, Shuang Zhou, Anirban Bhattacharya, David B. Dunson, Debdeep Pati
Statistical Guarantees for Transformation Based Models with Applications to Implicit Variational Inference. CoRR (2020)
Biraj Subhra Guha, Anirban Bhattacharya, Debdeep Pati
Statistical Guarantees and Algorithmic Convergence Issues of Variational Boosting. CoRR (2020)
Tathagata Mukherjee, Piyush Kumar, Debdeep Pati, Erik Blasch, Eduardo Pasiliao, Liqin Xu
LoSI: Large scale location inference through FM signal integration and estimation. Big Data Min. Anal. 2 (4) (2019)
Debdeep Pati, Anirban Bhattacharya, Yun Yang
On Statistical Optimality of Variational Bayes. AISTATS (2018)
Sutanoy Dasgupta, Debdeep Pati, Ian H. Jermyn, Anuj Srivastava
Shape-Constrained and Unconstrained Density Estimation Using Geometric Exploration. SSP (2018)
Hanning Li, Debdeep Pati
Variable selection using shrinkage priors. Comput. Stat. Data Anal. 107 (2017)
Debdeep Pati, Anirban Bhattacharya, Guang Cheng
Optimal Bayesian estimation in random covariate design with a rescaled Gaussian process prior. J. Mach. Learn. Res. 16 (2015)
Zhengwu Zhang, Debdeep Pati, Anuj Srivastava
Bayesian Clustering of Shapes of Curves. CoRR (2015)
Debdeep Pati, David B. Dunson, Surya T. Tokdar
Posterior consistency in conditional distribution estimation. J. Multivar. Anal. 116 (2013)