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Evaluating Approximate Inference in Bayesian Deep Learning.

A. Wilson, P. Izmailov, M. Hoffman, Y. Gal, Y. Li, M. Pradier, S. Vikram, A. Foong, S. Lotfi, and S. Farquhar. NeurIPS (Competition and Demos), volume 176 of Proceedings of Machine Learning Research, page 113-124. PMLR, (2021)

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Svetlana Yarina

Gal Schkolnik

Steffi Gal

Jan Gal

Andreas Gál

Other publications of authors with the same name

Dropout as a Bayesian Approximation: AppendixY. Gal, and Z. Ghahramani. (2015)cite arxiv:1506.02157Comment: 20 pages, 1 figure; ICML proceedings version.Uncertainty Quantification with Statistical Guarantees in End-to-End Autonomous Driving Control.R. Michelmore, M. Wicker, L. Laurenti, L. Cardelli, Y. Gal, and M. Kwiatkowska. ICRA, page 7344-7350. IEEE, (2020)Active Learning under Pool Set Distribution Shift and Noisy Data.A. Kirsch, T. Rainforth, and Y. Gal. CoRR, (2021)GeneDisco: A Benchmark for Experimental Design in Drug Discovery.A. Mehrjou, A. Soleymani, A. Jesson, P. Notin, Y. Gal, S. Bauer, and P. Schwab. CoRR, (2021)BatchGFN: Generative Flow Networks for Batch Active Learning.S. Malik, S. Lahlou, A. Jesson, M. Jain, N. Malkin, T. Deleu, Y. Bengio, and Y. Gal. CoRR, (2023)Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks.A. Malinin, N. Band, A. Ganshin, G. Chesnokov, Y. Gal, M. Gales, A. Noskov, A. Ploskonosov, L. Prokhorenkova, I. Provilkov and 5 other author(s). CoRR, (2021)Prioritized training on points that are learnable, worth learning, and not yet learned.S. Mindermann, M. Razzak, W. Xu, A. Kirsch, M. Sharma, A. Morisot, A. Gomez, S. Farquhar, J. Brauner, and Y. Gal. CoRR, (2021)Global Earth Magnetic Field Modeling and Forecasting with Spherical Harmonics Decomposition.P. Tigas, T. Bloch, V. Upendran, B. Ferdoushi, M. Cheung, S. Ganju, R. McGranaghan, Y. Gal, and A. Bhatt. CoRR, (2021)Continual Learning via Sequential Function-Space Variational Inference.T. Rudner, F. Smith, Q. Feng, Y. Teh, and Y. Gal. CoRR, (2023)Global geomagnetic perturbation forecasting using Deep Learning.V. Upendran, P. Tigas, B. Ferdousi, T. Bloch, M. Cheung, S. Ganju, A. Bhatt, R. McGranaghan, and Y. Gal. CoRR, (2022)

BibSonomy

Disambiguation of "Gal, Yarin"

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Evaluating Approximate Inference in Bayesian Deep Learning.

Please choose a person to relate this publication to

Svetlana Yarina

Gal Schkolnik

Steffi Gal

Jan Gal

Andreas Gál

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Gal, Yarin"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Evaluating Approximate Inference in Bayesian Deep Learning.

Please choose a person to relate this publication to

Svetlana Yarina

Gal Schkolnik

Steffi Gal

Jan Gal

Andreas Gál

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
Harvard
MSOffice XML

Evaluating Approximate Inference in Bayesian Deep Learning.