Anindya Bhadra
4 papers · 2019–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(14)
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Research topics
Keywords
bayesian neural network
(2)
gaussian process
(2)
bayesian inference
(1)
uncertainty quantification
(1)
marginal likelihood
(1)
posterior inference
(1)
bayesian model selection
(1)
precision matrix
(1)
graphical lasso
(1)
model evidence
(1)
horseshoe prior
(1)
graphical model
(1)
gaussian graphical model
(1)
prediction risk
(1)
horseshoe regression
(1)
global shrinkage
(1)
local shrinkage
(1)
shrinkage regression
(1)
alpha-stable distribution
(1)
bayesian shrinkage
(1)
Papers
Deep Kernel Posterior Learning under Infinite Variance Prior Weights
ICLR 2025
Evidence Estimation in Gaussian Graphical Models Using a Telescoping Block Decomposition of the Precision Matrix
JMLR 2024
Posterior Inference on Shallow Infinitely Wide Bayesian Neural Networks under Weights with Unbounded Variance
UAI 2024
Prediction Risk for the Horseshoe Regression
JMLR 2019