most citedLearning nonlinear level sets for dimensionality reduction in function approximation

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stat.ML2019

Challenges in Markov chain Monte Carlo for Bayesian neural networks

Theodore Papamarkou, Jacob Hinkle, M. Todd Young +1

Markov chain Monte Carlo (MCMC) methods have not been broadly adopted in Bayesian neural networks (BNNs). This paper initially reviews the main challenges in sampling from the para…