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