Distribution-free binary classification: prediction sets, confidence intervals and calibration

18 June 2020

Papers citing "Distribution-free binary classification: prediction sets, confidence intervals and calibration"

20 / 20 papers shown

Title
MBCT: Tree-Based Feature-Aware Binning for Individual Uncertainty Calibration Siguang Huang Yunli Wang Lili Mou Huayue Zhang Ziru Xu Chuan Yu Bo Zheng 60 15 0 13 Mar 2025
Conformalized Answer Set Prediction for Knowledge Graph Embedding Yuqicheng Zhu Nico Potyka Jiarong Pan Bo Xiong Yunjie He Evgeny Kharlamov Steffen Staab 51 0 0 28 Jan 2025
Orthogonal Causal Calibration Justin Whitehouse Christopher Jung Vasilis Syrgkanis Bryan Wilder Zhiwei Steven Wu CML 114 1 0 04 Jun 2024
Conformal Semantic Image Segmentation: Post-hoc Quantification of Predictive Uncertainty Luca Mossina Joseba Dalmau Léo Andéol UQCV 40 12 0 16 Apr 2024
Distributionally Robust Statistical Verification with Imprecise Neural Networks Souradeep Dutta Michele Caprio Vivian Lin Matthew Cleaveland Kuk Jin Jang I. Ruchkin O. Sokolsky Insup Lee OOD AAML 49 7 0 28 Aug 2023
Minimum-Risk Recalibration of Classifiers Zeyu Sun Dogyoon Song Alfred Hero 32 5 0 18 May 2023
Causal isotonic calibration for heterogeneous treatment effects L. Laan Ernesto Ulloa-Pérez M. Carone Alexander Luedtke 29 11 0 27 Feb 2023
Efficiently Controlling Multiple Risks with Pareto Testing Bracha Laufer-Goldshtein Adam Fisch Regina Barzilay Tommi Jaakkola 36 16 0 14 Oct 2022
Calibrated Selective Classification Adam Fisch Tommi Jaakkola Regina Barzilay 26 16 0 25 Aug 2022
Modular Conformal Calibration Charles Marx Shengjia Zhao W. Neiswanger Stefano Ermon 32 15 0 23 Jun 2022
Uncertainty Quantification for Fairness in Two-Stage Recommender Systems Lequn Wang Thorsten Joachims 19 22 0 30 May 2022
Faster online calibration without randomization: interval forecasts and the power of two choices Chirag Gupta Aaditya Ramdas 18 4 0 27 Apr 2022
T-Cal: An optimal test for the calibration of predictive models Donghwan Lee Xinmeng Huang Hamed Hassani Yan Sun 22 20 0 03 Mar 2022
Reducing Overconfidence Predictions for Autonomous Driving Perception Gledson Melotti C. Premebida Jordan J. Bird Diego Resende Faria Nuno Gonccalves 8 7 0 16 Feb 2022
Tracking the risk of a deployed model and detecting harmful distribution shifts A. Podkopaev Aaditya Ramdas 29 22 0 12 Oct 2021
Distribution-free calibration guarantees for histogram binning without sample splitting Chirag Gupta Aaditya Ramdas 21 37 0 10 May 2021
Exact Distribution-Free Hypothesis Tests for the Regression Function of Binary Classification via Conditional Kernel Mean Embeddings Ambrus Tamás Balázs Csanád Csáji 33 4 0 08 Mar 2021
Distribution-free uncertainty quantification for classification under label shift A. Podkopaev Aaditya Ramdas UQCV 14 83 0 04 Mar 2021
On Calibration and Out-of-domain Generalization Yoav Wald Amir Feder D. Greenfeld Uri Shalit OODD 27 151 0 20 Feb 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016