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2020 – today
- 2024
[j14]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): 213 (2024)- [j13]Abhisek Chakraborty, Anirban Bhattacharya, Debdeep Pati:
A Gibbs Posterior Framework for Fair Clustering. Entropy 26(1): 63 (2024) - [j12]Abhisek Chakraborty, Anirban Bhattacharya, Debdeep Pati:
Constrained Reweighting of Distributions: An Optimal Transport Approach. Entropy 26(3): 249 (2024) - [j11]Jacob Helwig, Sutanoy Dasgupta, Peng Zhao, Bani K. Mallick, Debdeep Pati:
Algorithm 1045: A Covariate-Dependent Approach to Gaussian Graphical Modeling in R. ACM Trans. Math. Softw. 50(2): 16:1-16:32 (2024) - 2023
- [j10]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: 87:1-87:53 (2023) - [i9]Abhisek Chakraborty, Anirban Bhattacharya, Debdeep Pati:
Robust probabilistic inference via a constrained transport metric. CoRR abs/2303.10085 (2023) - [i8]Abhisek Chakraborty, Anirban Bhattacharya, Debdeep Pati:
Fair Clustering via Hierarchical Fair-Dirichlet Process. CoRR abs/2305.17557 (2023) - [i7]Anirban Bhattacharya, Debdeep Pati, Yun Yang:
On the Convergence of Coordinate Ascent Variational Inference. CoRR abs/2306.01122 (2023) - [i6]Prateek Jaiswal, Debdeep Pati, Anirban Bhattacharya, Bani K. Mallick:
Generalized Regret Analysis of Thompson Sampling using Fractional Posteriors. CoRR abs/2309.06349 (2023) - [i5]Abhisek Chakraborty, Anirban Bhattacharya, Debdeep Pati:
Constrained Reweighting of Distributions: an Optimal Transport Approach. CoRR abs/2310.12447 (2023) - 2022
- [j9]Indrajit Ghosh, Anirban Bhattacharya, Debdeep Pati:
Statistical Optimality and Stability of Tangent Transform Algorithms in Logit Models. J. Mach. Learn. Res. 23: 184:1-184:42 (2022) - [c6]Honggang Wang, Anirban Bhattacharya, Debdeep Pati, Yun Yang:
Structured variational inference in Bayesian state-space models. AISTATS 2022: 8884-8905 - 2021
- [j8]Sutanoy Dasgupta, Debdeep Pati, Ian H. Jermyn, Anuj Srivastava:
Modality-Constrained Density Estimation via Deformable Templates. Technometrics 63(4): 536-547 (2021) - [c5]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: 2449-2457 - [c4]Eric Chuu, Debdeep Pati, Anirban Bhattacharya:
A Hybrid Approximation to the Marginal Likelihood. AISTATS 2021: 3214-3222 - [c3]Biraj Subhra Guha, Anirban Bhattacharya, Debdeep Pati:
Statistical Guarantees and Algorithmic Convergence Issues of Variational Boosting. ICTAI 2021: 442-446 - [i4]Sutanoy Dasgupta, Yabo Niu, Kishan Panaganti, Dileep Kalathil, Debdeep Pati, Bani K. Mallick:
Off-Policy Evaluation Using Information Borrowing and Context-Based Switching. CoRR abs/2112.09865 (2021) - 2020
- [j7]Sean Plummer, Debdeep Pati, Anirban Bhattacharya:
Dynamics of Coordinate Ascent Variational Inference: A Case Study in 2D Ising Models. Entropy 22(11): 1263 (2020) - [j6]Olivier Binette, Debdeep Pati, David B. Dunson:
Bayesian Closed Surface Fitting Through Tensor Products. J. Mach. Learn. Res. 21: 119:1-119:26 (2020) - [j5]Pallavi Ray, Debdeep Pati, Anirban Bhattacharya:
Efficient Bayesian shape-restricted function estimation with constrained Gaussian process priors. Stat. Comput. 30(4): 839-853 (2020) - [i3]Biraj Subhra Guha, Anirban Bhattacharya, Debdeep Pati:
Statistical Guarantees and Algorithmic Convergence Issues of Variational Boosting. CoRR abs/2010.09540 (2020) - [i2]Sean Plummer, Shuang Zhou, Anirban Bhattacharya, David B. Dunson, Debdeep Pati:
Statistical Guarantees for Transformation Based Models with Applications to Implicit Variational Inference. CoRR abs/2010.14056 (2020)
2010 – 2019
- 2019
- [j4]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): 319-348 (2019) - 2018
- [c2]Debdeep Pati, Anirban Bhattacharya, Yun Yang:
On Statistical Optimality of Variational Bayes. AISTATS 2018: 1579-1588 - [c1]Sutanoy Dasgupta, Debdeep Pati, Ian H. Jermyn, Anuj Srivastava:
Shape-Constrained and Unconstrained Density Estimation Using Geometric Exploration. SSP 2018: 358-362 - 2017
- [j3]Hanning Li, Debdeep Pati:
Variable selection using shrinkage priors. Comput. Stat. Data Anal. 107: 107-119 (2017) - 2015
- [j2]Debdeep Pati, Anirban Bhattacharya, Guang Cheng:
Optimal Bayesian estimation in random covariate design with a rescaled Gaussian process prior. J. Mach. Learn. Res. 16: 2837-2851 (2015) - [i1]Zhengwu Zhang, Debdeep Pati, Anuj Srivastava:
Bayesian Clustering of Shapes of Curves. CoRR abs/1504.00377 (2015) - 2013
- [j1]Debdeep Pati, David B. Dunson, Surya T. Tokdar:
Posterior consistency in conditional distribution estimation. J. Multivar. Anal. 116: 456-472 (2013)
Coauthor Index
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