A Unifying Theory of Distance from Calibration

30 November 2022

Papers citing "A Unifying Theory of Distance from Calibration"

23 / 23 papers shown

Title
Three Types of Calibration with Properties and their Semantic and Formal Relationships Rabanus Derr Jessie Finocchiaro Robert C. Williamson 31 0 0 25 Apr 2025
How Global Calibration Strengthens Multiaccuracy Sílvia Casacuberta Parikshit Gopalan Varun Kanade Omer Reingold 22 0 0 21 Apr 2025
Combining Priors with Experience: Confidence Calibration Based on Binomial Process Modeling Jinzong Dong Zhaohui Jiang Dong Pan Haoyang Yu 49 0 0 14 Dec 2024
Learning to Route LLMs with Confidence Tokens Yu-Neng Chuang Helen Zhou Prathusha Kameswara Sarma Parikshit Gopalan John Boccio Sara Bolouki Xia Hu 25 0 0 17 Oct 2024
Towards Data-Centric RLHF: Simple Metrics for Preference Dataset Comparison Judy Hanwen Shen Archit Sharma Jun Qin 37 4 0 15 Sep 2024
When is Multicalibration Post-Processing Necessary? Dutch Hansen Siddartha Devic Preetum Nakkiran Vatsal Sharan 31 4 0 10 Jun 2024
Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift Jiayun Wu Jiashuo Liu Peng Cui Zhiwei Steven Wu 22 1 0 02 Jun 2024
Optimal Multiclass U-Calibration Error and Beyond Haipeng Luo Spandan Senapati Vatsal Sharan 16 4 0 28 May 2024
Conformal Prediction for Natural Language Processing: A Survey Margarida M. Campos António Farinhas Chrysoula Zerva Mário A. T. Figueiredo André F. T. Martins AI4CE 38 13 0 03 May 2024
Predict to Minimize Swap Regret for All Payoff-Bounded Tasks Lunjia Hu Yifan Wu 27 2 0 21 Apr 2024
Testing Calibration in Nearly-Linear Time Lunjia Hu A. Jambulapati Kevin Tian Chutong Yang 19 0 0 20 Feb 2024
On Computationally Efficient Multi-Class Calibration Parikshit Gopalan Lunjia Hu G. Rothblum 12 6 0 12 Feb 2024
Kandinsky Conformal Prediction: Efficient Calibration of Image Segmentation Algorithms J. Brunekreef Eric Marcus Ray Sheombarsing J. Sonke Jonas Teuwen 19 3 0 20 Nov 2023
Smooth ECE: Principled Reliability Diagrams via Kernel Smoothing Jarosław Błasiok Preetum Nakkiran UQCV 30 20 0 21 Sep 2023
Set Learning for Accurate and Calibrated Models Lukas Muttenthaler Robert A. Vandermeulen Qiuyi Zhang Thomas Unterthiner Klaus-Robert Muller 21 2 0 05 Jul 2023
U-Calibration: Forecasting for an Unknown Agent Robert D. Kleinberg R. Leme Jon Schneider Yifeng Teng AI4TS 22 19 0 30 Jun 2023
On the Limitations of Temperature Scaling for Distributions with Overlaps Muthuraman Chidambaram Rong Ge UQCV 19 3 0 01 Jun 2023
When Does Optimizing a Proper Loss Yield Calibration? Jarosław Błasiok Parikshit Gopalan Lunjia Hu Preetum Nakkiran 15 22 0 30 May 2023
Minimum-Risk Recalibration of Classifiers Zeyu Sun Dogyoon Song Alfred Hero 15 5 0 18 May 2023
Loss Minimization Yields Multicalibration for Large Neural Networks Jarosław Błasiok Parikshit Gopalan Lunjia Hu Adam Tauman Kalai Preetum Nakkiran FaML UQCV 33 10 0 19 Apr 2023
An Operational Perspective to Fairness Interventions: Where and How to Intervene Brian Hsu Xiaotong Chen Ying Han Hongseok Namkoong Kinjal Basu 11 1 0 03 Feb 2023
On the Within-Group Fairness of Screening Classifiers Nastaran Okati Stratis Tsirtsis Manuel Gomez Rodriguez 22 1 0 31 Jan 2023
Metrics of calibration for probabilistic predictions Imanol Arrieta Ibarra Paman Gujral Jonathan Tannen M. Tygert Cherie Xu 40 20 0 19 May 2022