Distributed Bayesian Varying Coefficient Modeling Using a Gaussian
Process Prior

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Distributed Bayesian Varying Coefficient Modeling Using a Gaussian Process Prior

1 June 2020

Rajarshi Guhaniyogi

Sanvesh Srivastava

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Papers citing "Distributed Bayesian Varying Coefficient Modeling Using a Gaussian Process Prior"

6 / 6 papers shown

Title
Bayesian Data Sketching for Varying Coefficient Regression Models Rajarshi Guhaniyogi Laura Baracaldo Sudipto Banerjee 26 5 0 30 May 2025
Contraction rates for conjugate gradient and Lanczos approximate posteriors in Gaussian process regression Bernhard Stankewitz Botond Szabo 75 2 0 18 Jun 2024
InVA: Integrative Variational Autoencoder for Harmonization of Multi-modal Neuroimaging Data Bowen Lei Rajarshi Guhaniyogi Krishnendu Chandra Aaron Scheffler Bani Mallick 41 0 0 05 Feb 2024
Adaptation using spatially distributed Gaussian Processes Botond Szabó Amine Hadji A. van der Vaart 59 2 0 21 Dec 2023
Machine Learning and the Future of Bayesian Computation Steven Winter Trevor Campbell Lizhen Lin Sanvesh Srivastava David B. Dunson TPM 77 4 0 21 Apr 2023
Self-explaining variational posterior distributions for Gaussian Process models Sarem Seitz BDL 29 0 0 08 Sep 2021

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