Debdeep Pati
11 papers · 2015–2025 · 3 venues · across top CS/AI venues
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bayesian inference
(5)
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variational baye
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mean-field approximation
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bayesian nonparametrics
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belief propagation
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gaussian process
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latent dirichlet allocation
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message passing
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posterior inference
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high-dimensional estimation
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density estimation
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Papers
Estimation of Large Zipfian Distributions with Sort and Snap
AISTATS 2025
Global-Local Dirichlet Processes for Clustering Grouped Data in the Presence of Group-Specific Idiosyncratic Variables
ICML 2025
Structured Optimal Variational Inference for Dynamic Latent Space Models
JMLR 2024
Gaussian Processes with Errors in Variables: Theory and Computation
JMLR 2023
Statistical Optimality and Stability of Tangent Transform Algorithms in Logit Models
JMLR 2022
Structured variational inference in Bayesian state-space models
AISTATS 2022
A Hybrid Approximation to the Marginal Likelihood
AISTATS 2021
Statistical Guarantees for Transformation Based Models with applications to Implicit Variational Inference
AISTATS 2021
Bayesian Closed Surface Fitting Through Tensor Products
JMLR 2020
On Statistical Optimality of Variational Bayes
AISTATS 2018
Optimal Bayesian Estimation in Random Covariate Design with a Rescaled Gaussian Process Prior
JMLR 2015