Mitigating the Effects of Non-Identifiability on Inference for Bayesian Neural Networks with Latent Variables

Journal of Machine Learning Research 23 (2022) 1-54 Bayesian Neural Networks with Latent Variables (BNN+LVs) capture predictive uncertainty by explicitly modeling model uncertainty (via priors on network weights) and environmental stochasticity (via a latent input noise variable). In this work, we f...

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Hauptverfasser:	Yacoby, Yaniv, Pan, Weiwei, Doshi-Velez, Finale
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Statistics - Machine Learning
Online-Zugang:	Volltext bestellen
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