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Early Stopping as Nonparametric Variational Inference.

, , and . AISTATS, volume 51 of JMLR Workshop and Conference Proceedings, page 1070-1077. JMLR.org, (2016)

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SUMO: Unbiased Estimation of Log Marginal Probability for Latent Variable Models, , , , , , and . International Conference on Learning Representations, (2020)Nonparametric guidance of autoencoder representations using label information., , and . J. Mach. Learn. Res., (2012)ASC: automatically scalable computation., , , , and . ASPLOS, page 575-590. ACM, (2014)Bayesian latent structure discovery from multi-neuron recordings., , and . NIPS, page 2002-2010. (2016)Slice Sampling Reparameterization Gradients., , and . NeurIPS, page 23532-23544. (2021)A Bayesian Nonparametric View on Count-Min Sketch., , and . NeurIPS, page 8782-8791. (2018)Bootstrap Learning via Modular Concept Discovery., , , and . IJCAI, page 1302-1309. IJCAI/AAAI, (2013)Multimodal Prediction and Personalization of Photo Edits with Deep Generative Models., , , , , and . AISTATS, volume 84 of Proceedings of Machine Learning Research, page 1309-1317. PMLR, (2018)Early Stopping as Nonparametric Variational Inference., , and . AISTATS, volume 51 of JMLR Workshop and Conference Proceedings, page 1070-1077. JMLR.org, (2016)Avoiding pathologies in very deep networks., , , and . AISTATS, volume 33 of JMLR Workshop and Conference Proceedings, page 202-210. JMLR.org, (2014)