Distribution-free calibration guarantees for histogram binning without sample splitting

10 May 2021

Papers citing "Distribution-free calibration guarantees for histogram binning without sample splitting"

27 / 27 papers shown

Title
Generalized Venn and Venn-Abers Calibration with Applications in Conformal Prediction L. Laan Ahmed Alaa 131 1 0 08 Feb 2025
Stabilized Inverse Probability Weighting via Isotonic Calibration L. Laan Ziming Lin M. Carone Alex Luedtke 33 2 0 10 Nov 2024
A Decision-driven Methodology for Designing Uncertainty-aware AI Self-Assessment Charles Oredola Vladimir Leung Adnan Ashraf Eric Heim I-Jeng Wang 38 1 0 02 Aug 2024
PAC-Bayes Analysis for Recalibration in Classification Masahiro Fujisawa Futoshi Futami 35 0 0 10 Jun 2024
Orthogonal Causal Calibration Justin Whitehouse Christopher Jung Vasilis Syrgkanis Bryan Wilder Zhiwei Steven Wu CML 114 1 0 04 Jun 2024
Information-theoretic Generalization Analysis for Expected Calibration Error Futoshi Futami Masahiro Fujisawa UQCV CML 41 1 0 24 May 2024
Pearls from Pebbles: Improved Confidence Functions for Auto-labeling Harit Vishwakarma Reid Chen Chen Sui Jiet Tay Satya Sai Srinath Namburi Frederic Sala Ramya Korlakai Vinayak 40 2 0 24 Apr 2024
Sample size planning for conditional counterfactual mean estimation with a K-armed randomized experiment Gabriel Ruiz 30 0 0 06 Mar 2024
A Benchmark Study on Calibration Linwei Tao Younan Zhu Haolan Guo Minjing Dong Chang Xu 21 9 0 23 Aug 2023
Human-Aligned Calibration for AI-Assisted Decision Making N. C. Benz Manuel Gomez Rodriguez 17 17 0 31 May 2023
Parity Calibration Youngseog Chung Aaron M. Rumack Chirag Gupta 24 1 0 29 May 2023
Minimum-Risk Recalibration of Classifiers Zeyu Sun Dogyoon Song Alfred Hero 30 5 0 18 May 2023
Online Platt Scaling with Calibeating Chirag Gupta Aaditya Ramdas 16 5 0 28 Apr 2023
Causal isotonic calibration for heterogeneous treatment effects L. Laan Ernesto Ulloa-Pérez M. Carone Alexander Luedtke 21 11 0 27 Feb 2023
Uncertainty Estimation based on Geometric Separation Gabriella Chouraqui L. Cohen Gil Einziger Liel Leman 25 0 0 11 Jan 2023
Birds of a Feather Trust Together: Knowing When to Trust a Classifier via Adaptive Neighborhood Aggregation Miao Xiong Shen Li Wenjie Feng Ailin Deng Jihai Zhang Bryan Hooi 11 6 0 29 Nov 2022
Active Learning and Novel Model Calibration Measurements for Automated Visual Inspection in Manufacturing Jože M. Rožanec Luka Bizjak Elena Trajkova Patrik Zajec Jelle Keizer B. Fortuna Dunja Mladenić 19 11 0 12 Sep 2022
Estimating Classification Confidence Using Kernel Densities P. Salamon David Salamon V. A. Cantu Michelle An Tyler Perry Robert A. Edwards A. Segall 15 0 0 13 Jul 2022
A Geometric Method for Improved Uncertainty Estimation in Real-time Gabriella Chouraqui L. Cohen Gil Einziger Liel Leman 12 0 0 23 Jun 2022
Faster online calibration without randomization: interval forecasts and the power of two choices Chirag Gupta Aaditya Ramdas 18 4 0 27 Apr 2022
Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks Zhen Lin Shubhendu Trivedi Jimeng Sun 32 5 0 15 Feb 2022
Improving Screening Processes via Calibrated Subset Selection Lequn Wang Thorsten Joachims Manuel Gomez Rodriguez CML 27 18 0 02 Feb 2022
Scaffolding Sets M. Burhanpurkar Zhun Deng Cynthia Dwork Linjun Zhang 33 9 0 04 Nov 2021
Top-label calibration and multiclass-to-binary reductions Chirag Gupta Aaditya Ramdas 17 35 0 18 Jul 2021
A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification Anastasios Nikolas Angelopoulos Stephen Bates OOD 41 581 0 15 Jul 2021
Distribution-free uncertainty quantification for classification under label shift A. Podkopaev Aaditya Ramdas UQCV 14 83 0 04 Mar 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,660 0 05 Dec 2016