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