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Jasper Snoek

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Combining Ensembles and Data Augmentation can Harm your Calibration

Oct 19, 2020
Yeming Wen, Ghassen Jerfel, Rafael Muller, Michael W. Dusenberry, Jasper Snoek, Balaji Lakshminarayanan, Dustin Tran

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Exploring the Uncertainty Properties of Neural Networks' Implicit Priors in the Infinite-Width Limit

Oct 14, 2020
Ben Adlam, Jaehoon Lee, Lechao Xiao, Jeffrey Pennington, Jasper Snoek

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Training independent subnetworks for robust prediction

Oct 13, 2020
Marton Havasi, Rodolphe Jenatton, Stanislav Fort, Jeremiah Zhe Liu, Jasper Snoek, Balaji Lakshminarayanan, Andrew M. Dai, Dustin Tran

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Empirical Frequentist Coverage of Deep Learning Uncertainty Quantification Procedures

Oct 06, 2020
Benjamin Kompa, Jasper Snoek, Andrew Beam

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A Spectral Energy Distance for Parallel Speech Synthesis

Aug 03, 2020
Alexey A. Gritsenko, Tim Salimans, Rianne van den Berg, Jasper Snoek, Nal Kalchbrenner

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Cold Posteriors and Aleatoric Uncertainty

Jul 31, 2020
Ben Adlam, Jasper Snoek, Samuel L. Smith

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Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift

Jul 17, 2020
Zachary Nado, Shreyas Padhy, D. Sculley, Alexander D'Amour, Balaji Lakshminarayanan, Jasper Snoek

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Revisiting One-vs-All Classifiers for Predictive Uncertainty and Out-of-Distribution Detection in Neural Networks

Jul 10, 2020
Shreyas Padhy, Zachary Nado, Jie Ren, Jeremiah Liu, Jasper Snoek, Balaji Lakshminarayanan

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Hyperparameter Ensembles for Robustness and Uncertainty Quantification

Jun 24, 2020
Florian Wenzel, Jasper Snoek, Dustin Tran, Rodolphe Jenatton

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