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Bhadra, Anindya
4 publications
ICLR
2025
Deep Kernel Posterior Learning Under Infinite Variance Prior Weights
Jorge Loria
,
Anindya Bhadra
JMLR
2024
Evidence Estimation in Gaussian Graphical Models Using a Telescoping Block Decomposition of the Precision Matrix
Anindya Bhadra
,
Ksheera Sagar
,
David Rowe
,
Sayantan Banerjee
,
Jyotishka Datta
UAI
2024
Posterior Inference on Shallow Infinitely Wide Bayesian Neural Networks Under Weights with Unbounded Variance
Jorge Loria
,
Anindya Bhadra
JMLR
2019
Prediction Risk for the Horseshoe Regression
Anindya Bhadra
,
Jyotishka Datta
,
Yunfan Li
,
Nicholas G. Polson
,
Brandon Willard