Multicalibration as Boosting for Regression

Multicalibration as Boosting for Regression

31 January 2023

Ira Globus-Harris

Declan Harrison

Jessica Sorrell

Papers citing "Multicalibration as Boosting for Regression"

18 / 18 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 27 0 0 21 Apr 2025
When does a predictor know its own loss? Aravind Gollakota Parikshit Gopalan Aayush Karan Charlotte Peale Udi Wieder UQCV FaML 63 0 0 27 Feb 2025
Integrating Expert Judgment and Algorithmic Decision Making: An Indistinguishability Framework Rohan Alur Loren Laine Darrick K. Li Dennis L. Shung Manish Raghavan Devavrat Shah 29 2 0 11 Oct 2024
Group-wise oracle-efficient algorithms for online multi-group learning Samuel Deng Daniel Hsu Jingwen Liu 22 1 0 07 Jun 2024
Orthogonal Causal Calibration Justin Whitehouse Christopher Jung Vasilis Syrgkanis Bryan Wilder Zhiwei Steven Wu CML 109 1 0 04 Jun 2024
Model Ensembling for Constrained Optimization Ira Globus-Harris Varun Gupta Michael Kearns Aaron Roth 33 0 0 27 May 2024
Multicalibration for Confidence Scoring in LLMs Gianluca Detommaso Martín Bertrán Riccardo Fogliato Aaron Roth 24 12 0 06 Apr 2024
Human Expertise in Algorithmic Prediction Rohan Alur Manish Raghavan Devavrat Shah 17 1 0 01 Feb 2024
Multi-group Learning for Hierarchical Groups Samuel Deng Daniel Hsu AI4CE 20 1 0 01 Feb 2024
Oracle Efficient Algorithms for Groupwise Regret Krishna Acharya Eshwar Ram Arunachaleswaran Sampath Kannan Aaron Roth Juba Ziani AI4TS 37 2 0 07 Oct 2023
Is this model reliable for everyone? Testing for strong calibration Jean Feng Alexej Gossmann Romain Pirracchio N. Petrick Gene Pennello B. Sahiner 11 3 0 28 Jul 2023
Oracle Efficient Online Multicalibration and Omniprediction Sumegha Garg Christopher Jung Omer Reingold Aaron Roth 21 18 0 18 Jul 2023
When Does Optimizing a Proper Loss Yield Calibration? Jarosław Błasiok Parikshit Gopalan Lunjia Hu Preetum Nakkiran 17 22 0 30 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
The Scope of Multicalibration: Characterizing Multicalibration via Property Elicitation Georgy Noarov Aaron Roth 17 4 0 16 Feb 2023
Swap Agnostic Learning, or Characterizing Omniprediction via Multicalibration Parikshit Gopalan Michael P. Kim Omer Reingold 13 15 0 13 Feb 2023
Batch Multivalid Conformal Prediction Christopher Jung Georgy Noarov Ramya Ramalingam Aaron Roth 58 48 0 30 Sep 2022