Learn then Test: Calibrating Predictive Algorithms to Achieve Risk
Control

Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control

3 October 2021

Anastasios Nikolas Angelopoulos

Emmanuel J. Candès

Michael I. Jordan

Papers citing "Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control"

11 / 11 papers shown

Title
Conformal Calibration: Ensuring the Reliability of Black-Box AI in Wireless Systems Osvaldo Simeone Sangwoo Park Matteo Zecchin 18 0 0 12 Apr 2025
FaiREE: Fair Classification with Finite-Sample and Distribution-Free Guarantee Puheng Li James Y. Zou Linjun Zhang FaML 52 4 0 13 Mar 2025
Adaptive Learn-then-Test: Statistically Valid and Efficient Hyperparameter Selection Matteo Zecchin Sangwoo Park Osvaldo Simeone LM&MA 39 3 0 24 Sep 2024
Hallucination Detection in Foundation Models for Decision-Making: A Flexible Definition and Review of the State of the Art Neeloy Chakraborty Melkior Ornik Katherine Driggs-Campbell LRM 40 9 0 25 Mar 2024
Efficiently Controlling Multiple Risks with Pareto Testing Bracha Laufer-Goldshtein Adam Fisch Regina Barzilay Tommi Jaakkola 17 16 0 14 Oct 2022
Consistent Accelerated Inference via Confident Adaptive Transformers Tal Schuster Adam Fisch Tommi Jaakkola Regina Barzilay AI4TS 179 60 0 18 Apr 2021
Few-shot Conformal Prediction with Auxiliary Tasks Adam Fisch Tal Schuster Tommi Jaakkola Regina Barzilay 173 46 0 17 Feb 2021
Distribution-Free, Risk-Controlling Prediction Sets Stephen Bates Anastasios Nikolas Angelopoulos Lihua Lei Jitendra Malik Michael I. Jordan OOD 173 160 0 07 Jan 2021
PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction Sangdon Park Osbert Bastani Nikolai Matni Insup Lee UQCV 118 61 0 31 Dec 2019
Cross-conformal predictors V. Vovk 110 173 0 03 Aug 2012
An asymptotically Gaussian bound on the Rademacher tails I. Pinelis 63 26 0 13 Jul 2010