Spotlight Presentations
in
Workshop: Workshop on Distribution-Free Uncertainty Quantification
Abstract
Probabilistic Conformal Prediction Using Conditional Random Samples by Zhendong Wang, Ruijiang Gao, Mingzhang Yin, Mingyuan Zhou and David Blei
On the Utility of Prediction Sets in Human-AI Teams by Varun Babbar, Umang Bhatt and Adrian Weller
Adaptive Conformal Predictions for Time Series by Margaux Zaffran, Olivier Féron, Yannig Goude, Julie Josse and Aymeric Dieuleveut
Approximate Conditional Coverage via Neural Model Approximations by Allen Schmaltz and Danielle Rasooly
Practical Adversarial Multivalid Conformal Prediction by Osbert Bastani, Varun Gupta, Christopher Jung, Georgy Noarov, Ramya Ramalingam and Aaron Roth
VaR-Control: Bounding the Probability of High-Loss Predictions by Jake Snell, Thomas Zollo and Richard Zemel
Confident Adaptive Language Modeling by Tal Schuster and Adam Fisch