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Kernel Regression with Infinite-Width Neural Networks on Millions of Examples.

B. Adlam, J. Lee, S. Padhy, Z. Nado, and J. Snoek. CoRR, (2023)

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Michael Snoek

Heinrich Snoek

Horst-Peter Snoek

Erich Snoek

Gerd Snoek

Other publications of authors with the same name

On Nonparametric Guidance for Learning Autoencoder Representations.J. Snoek, R. Adams, and H. Larochelle. AISTATS, volume 22 of JMLR Proceedings, page 1073-1080. JMLR.org, (2012)Learning Latent Permutations with Gumbel-Sinkhorn Networks.G. Mena, D. Belanger, S. Linderman, and J. Snoek. ICLR (Poster), OpenReview.net, (2018)Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning.Z. Nado, N. Band, M. Collier, J. Djolonga, M. Dusenberry, S. Farquhar, A. Filos, M. Havasi, R. Jenatton, G. Jerfel and 14 other author(s). CoRR, (2021)Predicting the utility of search spaces for black-box optimization: a simple, budget-aware approach.S. Ariafar, J. Gilmer, Z. Nado, J. Snoek, R. Jenatton, and G. Dahl. CoRR, (2021)Revisiting One-vs-All Classifiers for Predictive Uncertainty and Out-of-Distribution Detection in Neural Networks.S. Padhy, Z. Nado, J. Ren, J. Liu, J. Snoek, and B. Lakshminarayanan. CoRR, (2020)Combining Ensembles and Data Augmentation can Harm your Calibration.Y. Wen, G. Jerfel, R. Muller, M. Dusenberry, J. Snoek, B. Lakshminarayanan, and D. Tran. CoRR, (2020)Deep Learning for Bayesian Optimization of Scientific Problems with High-Dimensional Structure.S. Kim, P. Lu, C. Loh, J. Smith, J. Snoek, and M. Soljacic. Trans. Mach. Learn. Res., (2022)Sparse MoEs meet Efficient Ensembles.J. Allingham, F. Wenzel, Z. Mariet, B. Mustafa, J. Puigcerver, N. Houlsby, G. Jerfel, V. Fortuin, B. Lakshminarayanan, J. Snoek and 3 other author(s). Trans. Mach. Learn. Res., (2022)Nonparametric guidance of autoencoder representations using label information.J. Snoek, R. Adams, and H. Larochelle. J. Mach. Learn. Res., (2012)The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks.J. Swiatkowski, K. Roth, B. Veeling, L. Tran, J. Dillon, J. Snoek, S. Mandt, T. Salimans, R. Jenatton, and S. Nowozin. ICML, volume 119 of Proceedings of Machine Learning Research, page 9289-9299. PMLR, (2020)

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Disambiguation of "Snoek, Jasper"

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Kernel Regression with Infinite-Width Neural Networks on Millions of Examples.

Please choose a person to relate this publication to

Michael Snoek

Heinrich Snoek

Horst-Peter Snoek

Erich Snoek

Gerd Snoek

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Snoek, Jasper"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Kernel Regression with Infinite-Width Neural Networks on Millions of Examples.

Please choose a person to relate this publication to

Michael Snoek

Heinrich Snoek

Horst-Peter Snoek

Erich Snoek

Gerd Snoek

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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MSOffice XML

Kernel Regression with Infinite-Width Neural Networks on Millions of Examples.