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