Debdeep Pati

38 papers A* 1A 5B 1Journal 28Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Frequentist Regret Analysis of Gaussian Process Thompson Sampling via Fractional Posteriors.
CoRR
Somjit Roy, Prateek Jaiswal, Anirban Bhattacharya, Debdeep Pati, Bani K. Mallick
2026 J jnl
Stability of Sequential and Parallel Coordinate Ascent Variational Inference.
CoRR
Debdeep Pati
2025 — conf
Asymptotic Behavior of the Coordinate Ascent Variational Inference in Singular Models.
CPAL
Sean Plummer, Anirban Bhattacharya, Debdeep Pati, Yun Yang
2025 J jnl
Blocked Gibbs Sampler for Hierarchical Dirichlet Processes.
J. Comput. Graph. Stat.
Snigdha Das, Yabo Niu, Yang Ni, Bani K. Mallick, Debdeep Pati
2025 A conf
Estimation of Large Zipfian Distributions with Sort and Snap.
AISTATS
Peter Matthew Jacobs, Anirban Bhattacharya, Debdeep Pati, Lekha Patel, Jeff M. Phillips
2025 A* conf
Global-Local Dirichlet Processes for Clustering Grouped Data in the Presence of Group-Specific Idiosyncratic Variables.
ICML
Arhit Chakrabarti, Yang Ni, Debdeep Pati, Bani K. Mallick
2025 J jnl
Minimax Posterior Contraction Rates for Unconstrained Distribution Estimation on [0, 1]
Trans. Mach. Learn. Res.
Peter Matthew Jacobs, Lekha Patel, Anirban Bhattacharya, Debdeep Pati
2025 — conf
Off-Policy Evaluation Using Information Borrowing and Context-Based Switching.
CDC
Sutanoy Dasgupta, Yabo Niu, Kishan Panaganti, Dileep Kalathil, Debdeep Pati, Bani K. Mallick
2024 J jnl
A Gibbs Posterior Framework for Fair Clustering.
Entropy
Abhisek Chakraborty, Anirban Bhattacharya, Debdeep Pati
2024 J jnl
Algorithm 1045: A Covariate-Dependent Approach to Gaussian Graphical Modeling in R.
ACM Trans. Math. Softw.
Jacob Helwig, Sutanoy Dasgupta, Peng Zhao, Bani K. Mallick, Debdeep Pati
2024 J jnl
Constrained Reweighting of Distributions: An Optimal Transport Approach.
Entropy
Abhisek Chakraborty, Anirban Bhattacharya, Debdeep Pati
2024 J jnl
EPSOM-Hyb: A General Purpose Estimator of Log-Marginal Likelihoods with Applications in Probabilistic Graphical Models.
Algorithms
Eric Chuu, Yabo Niu, Anirban Bhattacharya, Debdeep Pati
2024 J jnl
Structured Optimal Variational Inference for Dynamic Latent Space Models.
J. Mach. Learn. Res.
Peng Zhao, Anirban Bhattacharya, Debdeep Pati, Bani K. Mallick
2023 J jnl
Constrained Reweighting of Distributions: an Optimal Transport Approach.
CoRR
Abhisek Chakraborty, Anirban Bhattacharya, Debdeep Pati
2023 J jnl
Fair Clustering via Hierarchical Fair-Dirichlet Process.
CoRR
Abhisek Chakraborty, Anirban Bhattacharya, Debdeep Pati
2023 J jnl
Gaussian Processes with Errors in Variables: Theory and Computation.
J. Mach. Learn. Res.
Shuang Zhou, Debdeep Pati, Tianying Wang, Yun Yang, Raymond J. Carroll
2023 J jnl
Generalized Regret Analysis of Thompson Sampling using Fractional Posteriors.
CoRR
Prateek Jaiswal, Debdeep Pati, Anirban Bhattacharya, Bani K. Mallick
2023 J jnl
On the Convergence of Coordinate Ascent Variational Inference.
CoRR
Anirban Bhattacharya, Debdeep Pati, Yun Yang
2023 J jnl
Robust probabilistic inference via a constrained transport metric.
CoRR
Abhisek Chakraborty, Anirban Bhattacharya, Debdeep Pati
2022 J jnl
Statistical Optimality and Stability of Tangent Transform Algorithms in Logit Models.
J. Mach. Learn. Res.
Indrajit Ghosh, Anirban Bhattacharya, Debdeep Pati
2022 A conf
Structured variational inference in Bayesian state-space models.
AISTATS
Honggang Wang, Anirban Bhattacharya, Debdeep Pati, Yun Yang
2021 A conf
A Hybrid Approximation to the Marginal Likelihood.
AISTATS
Eric Chuu, Debdeep Pati, Anirban Bhattacharya
2021 J jnl
Modality-Constrained Density Estimation via Deformable Templates.
Technometrics
Sutanoy Dasgupta, Debdeep Pati, Ian H. Jermyn, Anuj Srivastava
2021 J jnl
Off-Policy Evaluation Using Information Borrowing and Context-Based Switching.
CoRR
Sutanoy Dasgupta, Yabo Niu, Kishan Panaganti, Dileep Kalathil, Debdeep Pati, Bani K. Mallick
2021 B conf
Statistical Guarantees and Algorithmic Convergence Issues of Variational Boosting.
ICTAI
Biraj Subhra Guha, Anirban Bhattacharya, Debdeep Pati
2021 A conf
Statistical Guarantees for Transformation Based Models with applications to Implicit Variational Inference.
AISTATS
Sean Plummer, Shuang Zhou, Anirban Bhattacharya, David B. Dunson, Debdeep Pati
2020 J jnl
Bayesian Closed Surface Fitting Through Tensor Products.
J. Mach. Learn. Res.
Olivier Binette, Debdeep Pati, David B. Dunson
2020 J jnl
Dynamics of Coordinate Ascent Variational Inference: A Case Study in 2D Ising Models.
Entropy
Sean Plummer, Debdeep Pati, Anirban Bhattacharya
2020 J jnl
Efficient Bayesian shape-restricted function estimation with constrained Gaussian process priors.
Stat. Comput.
Pallavi Ray, Debdeep Pati, Anirban Bhattacharya
2020 J jnl
Statistical Guarantees and Algorithmic Convergence Issues of Variational Boosting.
CoRR
Biraj Subhra Guha, Anirban Bhattacharya, Debdeep Pati
2020 J jnl
Statistical Guarantees for Transformation Based Models with Applications to Implicit Variational Inference.
CoRR
Sean Plummer, Shuang Zhou, Anirban Bhattacharya, David B. Dunson, Debdeep Pati
2019 J jnl
LoSI: Large scale location inference through FM signal integration and estimation.
Big Data Min. Anal.
Tathagata Mukherjee, Piyush Kumar, Debdeep Pati, Erik Blasch, Eduardo Pasiliao, Liqin Xu
2018 A conf
On Statistical Optimality of Variational Bayes.
AISTATS
Debdeep Pati, Anirban Bhattacharya, Yun Yang
2018 — conf
Shape-Constrained and Unconstrained Density Estimation Using Geometric Exploration.
SSP
Sutanoy Dasgupta, Debdeep Pati, Ian H. Jermyn, Anuj Srivastava
2017 J jnl
Variable selection using shrinkage priors.
Comput. Stat. Data Anal.
Hanning Li, Debdeep Pati
2015 J jnl
Bayesian Clustering of Shapes of Curves.
CoRR
Zhengwu Zhang, Debdeep Pati, Anuj Srivastava
2015 J jnl
Optimal Bayesian estimation in random covariate design with a rescaled Gaussian process prior.
J. Mach. Learn. Res.
Debdeep Pati, Anirban Bhattacharya, Guang Cheng
2013 J jnl
Posterior consistency in conditional distribution estimation.
J. Multivar. Anal.
Debdeep Pati, David B. Dunson, Surya T. Tokdar