Search All 2022 Events
 

23 Results

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Poster
Thu 9:00 The Implicit Delta Method
Nathan Kallus · James McInerney
Workshop
Hybrid-EDL: Improving Evidential Deep Learning for Uncertainty Quantification on Imbalanced Data
Tong Xia · Jing Han · Lorena Qendro · Ting Dang · Cecilia Mascolo
Poster
Wed 14:00 Pitfalls of Epistemic Uncertainty Quantification through Loss Minimisation
Viktor Bengs · Eyke Hüllermeier · Willem Waegeman
Poster
Wed 9:00 Adjoint-aided inference of Gaussian process driven differential equations
Paterne GAHUNGU · Christopher Lanyon · Mauricio A Álvarez · Engineer Bainomugisha · Michael T Smith · Richard Wilkinson
Poster
Tue 14:00 JAWS: Auditing Predictive Uncertainty Under Covariate Shift
Drew Prinster · Anqi Liu · Suchi Saria
Workshop
Fri 12:15 Comparison of Uncertainty Quantification in Time Series Regression
Levente Foldesi · Matias Valdenegro-Toro
Workshop
Comparison of Uncertainty Quantification in Time Series Regression
Levente Foldesi · Matias Valdenegro-Toro
Poster
Tue 14:00 Deep Ensembles Work, But Are They Necessary?
Taiga Abe · Estefany Kelly Buchanan · Geoff Pleiss · Richard Zemel · John Cunningham
Poster
Wed 14:00 Embed and Emulate: Learning to estimate parameters of dynamical systems with uncertainty quantification
Ruoxi Jiang · Rebecca Willett
Expo Talk Panel
Mon 9:30 Uncertainty quantification for fair and transparent AI-assisted decision-making
Prasanna Sattigeri
Poster
Thu 14:00 PAC Prediction Sets for Meta-Learning
Sangdon Park · Edgar Dobriban · Insup Lee · Osbert Bastani
Poster
Tue 9:00 UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs
Philipp Oberdiek · Gernot Fink · Matthias Rottmann