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Workshop
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Uncertainty-aware predictive modeling for fair data-driven decisions
Patrick Kaiser · Christoph Kern · David Rügamer
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Workshop
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Exploring the Relationship Between Model Prediction Uncertainty and Gradient Inversion Attack Vulnerability for Federated Learning-Based Diabetic Retinopathy Grade Classification
Christopher Nielsen · Nils Daniel Forkert
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Workshop
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Exploring the Relationship Between Model Prediction Uncertainty and Gradient Inversion Attack Vulnerability for Federated Learning-Based Diabetic Retinopathy Grade Classification
Christopher Nielsen · Nils Daniel Forkert
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Workshop
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Multivariate Prediction Intervals for Random Forests
Brendan Folie · Maxwell Hutchinson
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Affinity Workshop
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Explaining Predictive Uncertainty by Looking Back at Model Explanations
Hanjie Chen · Wanyu Du · Yangfeng Ji
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Workshop
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Ensemble based uncertainty estimation with overlapping alternative predictions
Dirk Eilers · Felippe Schmoeller Roza · Karsten Roscher
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Poster
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Wed 9:00
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Better Uncertainty Calibration via Proper Scores for Classification and Beyond
Sebastian Gruber · Florian Buettner
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Workshop
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A Graph Is More Than Its Nodes: Towards Structured Uncertainty-Aware Learning on Graphs
Hans Hao-Hsun Hsu · Yuesong Shen · Daniel Cremers
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Poster
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Tue 14:00
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The Neural Testbed: Evaluating Joint Predictions
Ian Osband · Zheng Wen · Seyed Mohammad Asghari · Vikranth Dwaracherla · Xiuyuan Lu · MORTEZA IBRAHIMI · Dieterich Lawson · Botao Hao · Brendan O'Donoghue · Benjamin Van Roy
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Poster
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Tue 14:00
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JAWS: Auditing Predictive Uncertainty Under Covariate Shift
Drew Prinster · Anqi Liu · Suchi Saria
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Poster
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Thu 9:00
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Conformal Off-Policy Prediction in Contextual Bandits
Muhammad Faaiz Taufiq · Jean-Francois Ton · Rob Cornish · Yee Whye Teh · Arnaud Doucet
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Poster
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Thu 14:00
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PAC Prediction Sets for Meta-Learning
Sangdon Park · Edgar Dobriban · Insup Lee · Osbert Bastani
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