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Poster
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Wed 9:00
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Exploring the Uncertainty Properties of Neural Networks’ Implicit Priors in the Infinite-Width Limit
Ben Adlam · Jaehoon Lee · Lechao Xiao · Jeffrey Pennington · Jasper Snoek
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Poster
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Tue 9:00
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Getting a CLUE: A Method for Explaining Uncertainty Estimates
Javier Antorán · Umang Bhatt · Tameem Adel · Adrian Weller · José Miguel Hernández Lobato
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Poster
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Mon 1:00
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Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs
Cheng Wang · Carolin Lawrence · Mathias Niepert
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Poster
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Thu 17:00
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Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors
Ali Harakeh · Steven L Waslander
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Poster
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Wed 9:00
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Probabilistic Numeric Convolutional Neural Networks
Marc Finzi · Roberto Bondesan · Max Welling
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Poster
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Thu 9:00
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Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes
Jake Snell · Richard Zemel
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Oral
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Wed 4:05
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Getting a CLUE: A Method for Explaining Uncertainty Estimates
Javier Antorán · Umang Bhatt · Tameem Adel · Adrian Weller · José Miguel Hernández Lobato
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Poster
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Mon 9:00
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Accelerating Convergence of Replica Exchange Stochastic Gradient MCMC via Variance Reduction
Wei Deng · Qi Feng · Georgios Karagiannis · Guang Lin · Faming Liang
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Workshop
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Fri 7:10
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Poster Spotlight "Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structure"
Zhijie Deng
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Workshop
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Incorporating Label Uncertainty in Intrinsic Robustness Measures
Xiao Zhang
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Spotlight
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Mon 13:20
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Uncertainty Sets for Image Classifiers using Conformal Prediction
Anastasios Angelopoulos · Stephen Bates · Michael Jordan · Jitendra Malik
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Workshop
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δ-CLUE: Diverse Sets of Explanations for Uncertainty Estimates
Dan Ley · Umang Bhatt · Adrian Weller
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