June 30, 2025
Lyon, France at COLT 2025
https://vaidehi8913.github.io/predictions-and-uncertainty-colt25/
Submission deadline: May 25, 2025
Predictions from machine learning systems are increasingly being used as inputs to downstream algorithms and decision-making tasks. However, these predictions can be unreliable, and often suffer from biases or overconfidence, highlighting the need for rigorous approaches to modeling their uncertainty. The goal of the workshop is to bring together researchers from across different communities to learn about exciting developments and explore connections between these emerging lines of research. Topics of interest include Conformal Prediction, Algorithms with Predictions, Robust Statistics, Risk-Averse Decision Making, and other approaches for estimating and propagating uncertainty in statistical and algorithmic applications. The workshop includes a poster session, and we invite submissions from a broad range of areas related to uncertainty quantification and using unreliable predictions.
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