Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control

Type: Preprint

Publication Date: 2021-01-01

Citations: 9

DOI: https://doi.org/10.48550/arxiv.2110.01052

Locations

  • arXiv (Cornell University) - View - PDF
  • DataCite API - View

Similar Works

Action Title Year Authors
+ Distribution-Free, Risk-Controlling Prediction Sets 2021 Stephen Bates
Anastasios N. Angelopoulos
Lihua Lei
Jitendra Malik
Michael I. Jordan
+ PDF Chat Distribution-free, Risk-controlling Prediction Sets 2021 Stephen Bates
Anastasios N. Angelopoulos
Lihua Lei
Jitendra Malik
Michael I. Jordan
+ T-Cal: An optimal test for the calibration of predictive models 2022 Donghwan Lee
Xinmeng Huang
Hamed Hassani
Edgar Dobriban
+ PDF Chat Robust Conformal Outlier Detection under Contaminated Reference Data 2025 Meshi Bashari
Matteo Sesia
Yaniv Romano
+ Integrative conformal p-values for powerful out-of-distribution testing with labeled outliers 2022 Ziyi Liang
Matteo Sesia
Wenguang Sun
+ PDF Chat Data-driven Error Estimation: Upper Bounding Multiple Errors with No Technical Debt 2024 Sanath Kumar Krishnamurthy
Susan Athey
Emma Brunskill
+ Local Calibration: Metrics and Recalibration 2021 Rachel Luo
Aadyot Bhatnagar
Yu Bai
Shengjia Zhao
Huan Wang
Caiming Xiong
Silvio Savarese
Stefano Ermon
Edward Schmerling
Marco Pavone
+ PDF Chat A Confidence Interval for the $\ell_2$ Expected Calibration Error 2024 Yan Sun
Pratik Chaudhari
Ian Barnett
Edgar Dobriban
+ Evaluating and Calibrating Uncertainty Prediction in Regression Tasks 2019 Dan Levi
Liran Gispan
Niv Giladi
Ethan Fetaya
+ Top-label calibration and multiclass-to-binary reductions. 2021 Chirag Gupta
Aaditya Ramdas
+ PDF Chat Reassessing How to Compare and Improve the Calibration of Machine Learning Models 2024 Muthu Chidambaram
Rong Ge
+ Calibrating Deep Neural Networks using Explicit Regularisation and Dynamic Data Pruning 2022 Ramya Hebbalaguppe
Rishabh Patra
Tirtharaj Dash
Gautam Shroff
Lovekesh Vig
+ PDF Chat Evaluating and Calibrating Uncertainty Prediction in Regression Tasks 2022 Dan Levi
Liran Gispan
Niv Giladi
Ethan Fetaya
+ PDF Chat Calibrating Deep Neural Networks using Explicit Regularisation and Dynamic Data Pruning 2023 Rishabh Patra
Ramya Hebbalaguppe
Tirtharaj Dash
Gautam R. Shroff
Lovekesh Vig
+ Automatically Adaptive Conformal Risk Control 2024 Vincent Blot
Anastasios N. Angelopoulos
Michael I. Jordan
Nicolas Brunel
+ Calibrated Selective Classification 2022 Adam Fisch
Tommi Jaakkola
Regina Barzilay
+ PDF Chat Revisiting Confidence Estimation: Towards Reliable Failure Prediction 2024 Fei Zhu
Xu-Yao Zhang
Zhen Cheng
Cheng‐Lin Liu
+ Calibration tests beyond classification 2021 David Widmann
Fredrik Lindsten
Dave Zachariah
+ Testing for Overfitting 2023 James Schmidt
+ Integrative conformal <i>p</i>-values for out-of-distribution testing with labelled outliers 2024 Ziyi Liang
Matteo Sesia
Wenguang Sun