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Pre-training helps Bayesian optimization too.

Z. Wang, G. Dahl, K. Swersky, C. Lee, Z. Mariet, Z. Nado, J. Gilmer, J. Snoek, and Z. Ghahramani. CoRR, (2022)

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Michael Snoek

Heinrich Snoek

Horst-Peter Snoek

Erich Snoek

Gerd Snoek

Other publications of authors with the same name

Learning Latent Permutations with Gumbel-Sinkhorn Networks.G. Mena, D. Belanger, S. Linderman, and J. Snoek. ICLR (Poster), OpenReview.net, (2018)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)Nonparametric guidance of autoencoder representations using label information.J. Snoek, R. Adams, and H. Larochelle. J. Mach. Learn. Res., (2012)From Videos to Places: Geolocating the World's Videos.J. Snoek, L. Sbaiz, and H. Aradhye. ICDM Workshops, page 823-832. IEEE Computer Society, (2011)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)Training independent subnetworks for robust prediction.M. Havasi, R. Jenatton, S. Fort, J. Liu, J. Snoek, B. Lakshminarayanan, A. Dai, and D. Tran. ICLR, OpenReview.net, (2021)Combining Ensembles and Data Augmentation Can Harm Your Calibration.Y. Wen, G. Jerfel, R. Muller, M. Dusenberry, J. Snoek, B. Lakshminarayanan, and D. Tran. ICLR, OpenReview.net, (2021)Exploring the Uncertainty Properties of Neural Networks' Implicit Priors in the Infinite-Width Limit.B. Adlam, J. Lee, L. Xiao, J. Pennington, and J. Snoek. ICLR, OpenReview.net, (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. AISTATS, volume 151 of Proceedings of Machine Learning Research, page 11056-11071. PMLR, (2022)A Determinantal Point Process Latent Variable Model for Inhibition in Neural Spiking Data.J. Snoek, R. Zemel, and R. Adams. NIPS, page 1932-1940. (2013)

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Disambiguation of "Snoek, Jasper"

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Pre-training helps Bayesian optimization too.

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 Pre-training helps Bayesian optimization too.

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

Pre-training helps Bayesian optimization too.