124 citations · 657 across the 40 of their papers we have counts for
4 papers · 1 filter
Conformal Prediction with Missing Values
Margaux Zaffran, Aymeric Dieuleveut, Julie Josse +1
Conformal prediction is a theoretically grounded framework for constructing predictive intervals. We study conformal prediction with missing values in the covariates -- a setting t…
Principal Uncertainty Quantification with Spatial Correlation for Image Restoration Problems
Omer Belhasin, Yaniv Romano, Daniel Freedman +2
Uncertainty quantification for inverse problems in imaging has drawn much attention lately. Existing approaches towards this task define uncertainty regions based on probable value…
Lightsolver challenges a leading deep learning solver for Max-2-SAT problems
Hod Wirzberger, Assaf Kalinski, Idan Meirzada +4
Maximum 2-satisfiability (MAX-2-SAT) is a type of combinatorial decision problem that is known to be NP-hard. In this paper, we compare LightSolver's quantum-inspired algorithm to…
Derandomized Novelty Detection with FDR Control via Conformal E-values
Meshi Bashari, Amir Epstein, Yaniv Romano +1
Conformal inference provides a general distribution-free method to rigorously calibrate the output of any machine learning algorithm for novelty detection. While this approach has…