Debdeep Pati
21 catalog papers. Identity-linked publications and additional name matches are distinguished below.
ORCID: 0000-0002-5345-8635
Department of Statistics, University of Wisconsin
Publications
- On the convergence of coordinate ascent variational inference — The Annals of Statistics 2025
- Global-local Dirichlet processes for identifying pan-cancer subpopulations using both shared and cancer-specific data — The Annals of Applied Statistics 2025
- Monte Carlo goodness-of-fit tests for degree corrected and related stochastic blockmodels — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2024
- Structured Optimal Variational Inference for Dynamic Latent Space Models — Journal of Machine Learning Research 2024 (name-matched, not ORCID-linked)
- A Mass-Shifting Phenomenon of Truncated Multivariate Normal Priors — Journal of the American Statistical Association 2024
- Covariate-Assisted Bayesian Graph Learning for Heterogeneous Data — Journal of the American Statistical Association 2024
- Gaussian Processes with Errors in Variables: Theory and Computation — Journal of Machine Learning Research 2023 (name-matched, not ORCID-linked)
- Statistical Optimality and Stability of Tangent Transform Algorithms in Logit Models — Journal of Machine Learning Research 2022 (name-matched, not ORCID-linked)
- Bayesian Copula Density Deconvolution for Zero-Inflated Data in Nutritional Epidemiology — Journal of the American Statistical Association 2021
- $\alpha $-variational inference with statistical guarantees — The Annals of Statistics 2020
- Bayesian Closed Surface Fitting Through Tensor Products — Journal of Machine Learning Research 2020 (name-matched, not ORCID-linked)
- Bayesian fractional posteriors — The Annals of Statistics 2019
- Probabilistic Community Detection With Unknown Number of Communities — Journal of the American Statistical Association 2019
- Bayesian Semiparametric Multivariate Density Deconvolution — Journal of the American Statistical Association 2018
- Dirichlet–Laplace Priors for Optimal Shrinkage — Journal of the American Statistical Association 2015
- Optimal Bayesian Estimation in Random Covariate Design with a Rescaled Gaussian Process Prior — Journal of Machine Learning Research 2015 (name-matched, not ORCID-linked)
- Anisotropic function estimation using multi-bandwidth Gaussian processes — The Annals of Statistics 2014
- A location-mixture autoregressive model for online forecasting of lung tumor motion — The Annals of Applied Statistics 2014
- Posterior contraction in sparse Bayesian factor models for massive covariance matrices — The Annals of Statistics 2014 (name-matched, not ORCID-linked)
- Bayesian Multiscale Modeling of Closed Curves in Point Clouds — Journal of the American Statistical Association 2014
- Bayesian geostatistical modelling with informative sampling locations — Biometrika 2011