Is Your Classifier Actually Biased? Measuring Fairness under Uncertainty with Bernstein Bounds

26 April 2020

Papers citing "Is Your Classifier Actually Biased? Measuring Fairness under Uncertainty with Bernstein Bounds"

5 / 5 papers shown

Title
Evaluation for Change Rishi Bommasani ELM 40 0 0 20 Dec 2022
Fair Representation Learning through Implicit Path Alignment Changjian Shui Qi Chen Jiaqi Li Boyu Wang Christian Gagné 41 28 0 26 May 2022
Q-Pain: A Question Answering Dataset to Measure Social Bias in Pain Management Cécile Logé Emily L. Ross D. Dadey Saahil Jain A. Saporta A. Ng Pranav Rajpurkar 21 22 0 03 Aug 2021
Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian Inference Disi Ji Padhraic Smyth M. Steyvers 34 44 0 19 Oct 2020
Utility is in the Eye of the User: A Critique of NLP Leaderboards Kawin Ethayarajh Dan Jurafsky ELM 24 51 0 29 Sep 2020