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Session 12: Bayesian Inspired Non-Convex Methods for Sparse Signal Recovery by Prof. CHANDRA MURTHY
Lecture 26: NPBayes 10-418 / 10-618 Fall 2019
Lecture 17: Variational Algorithms for Approximate Bayesian Inference: Linear Regression
Lecture 22: Sparse Gaussian Process (FITC and Variational Sparse GP)
Sparse variational dropout - Bayesian Methods for Machine Learning
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Sparse Modeling of Early Reverberation in Noisy Conditions with Sparse Bayesian Learning
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Ítalo Gomes Gonçalves - Variational Gaussian processes for spatial modeling: the geoML project
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Lecture 18: Variational Algorithms for Approximate Bayesian Inference: Local Variational Methods
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Last Updated: August 18, 2026
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