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Quantile Risk Control: A Flexible Framework for Bounding the Probability
  of High-Loss Predictions

Quantile Risk Control: A Flexible Framework for Bounding the Probability of High-Loss Predictions

27 December 2022
Jake C. Snell
Thomas P. Zollo
Zhun Deng
T. Pitassi
R. Zemel
ArXivPDFHTML

Papers citing "Quantile Risk Control: A Flexible Framework for Bounding the Probability of High-Loss Predictions"

3 / 3 papers shown
Title
Prompt Risk Control: A Rigorous Framework for Responsible Deployment of
  Large Language Models
Prompt Risk Control: A Rigorous Framework for Responsible Deployment of Large Language Models
Thomas P. Zollo
Todd Morrill
Zhun Deng
Jake C. Snell
T. Pitassi
Richard Zemel
25
8
0
22 Nov 2023
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk
  Control
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control
Anastasios Nikolas Angelopoulos
Stephen Bates
Emmanuel J. Candès
Michael I. Jordan
Lihua Lei
95
126
0
03 Oct 2021
Distribution-Free, Risk-Controlling Prediction Sets
Distribution-Free, Risk-Controlling Prediction Sets
Stephen Bates
Anastasios Nikolas Angelopoulos
Lihua Lei
Jitendra Malik
Michael I. Jordan
OOD
176
185
0
07 Jan 2021
1