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stat.ML2026
Error Analysis of Bayesian Inverse Problems with Generative Priors
Bamdad Hosseini, Ziqi Huang
Data-driven methods for the solution of inverse problems have become widely popular in recent years thanks to the rise of machine learning techniques. A popular approach concerns t…
stat.ML2019
Consistency of semi-supervised learning algorithms on graphs: Probit and one-hot methods
Franca Hoffmann, Bamdad Hosseini, Zhi Ren +1
Graph-based semi-supervised learning is the problem of propagating labels from a small number of labelled data points to a larger set of unlabelled data. This paper is concerned wi…