Falcon: Fair Active Learning using Multi-armed Bandits

Falcon: Fair Active Learning using Multi-armed Bandits

23 January 2024

Steven Euijong Whang

Papers citing "Falcon: Fair Active Learning using Multi-armed Bandits"

11 / 11 papers shown

Title
Fair Class-Incremental Learning using Sample Weighting Jaeyoung Park Minsu Kim Steven Euijong Whang 59 0 0 02 Oct 2024
Sample Selection for Fair and Robust Training Yuji Roh Kangwook Lee Steven Euijong Whang Changho Suh 39 64 0 27 Oct 2021
OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning Hantian Zhang Xu Chu Abolfazl Asudeh S. Navathe FaML VLM 46 45 0 13 Mar 2021
Adaptive Sampling for Minimax Fair Classification S. Shekhar Greg Fields Mohammad Ghavamzadeh T. Javidi FaML 90 37 0 01 Mar 2021
Active Sampling for Min-Max Fairness Jacob D. Abernethy Pranjal Awasthi Matthäus Kleindessner Jamie Morgenstern Chris Russell Jie Zhang FaML 21 50 0 11 Jun 2020
Slice Tuner: A Selective Data Acquisition Framework for Accurate and Fair Machine Learning Models Ki Hyun Tae Steven Euijong Whang 40 40 0 10 Mar 2020
Fair Active Learning Hadis Anahideh Abolfazl Asudeh Saravanan Thirumuruganathan FaML 52 52 0 06 Jan 2020
Operationalizing Individual Fairness with Pairwise Fair Representations Preethi Lahoti Krishna P. Gummadi Gerhard Weikum FaML 67 101 0 02 Jul 2019
Snorkel: Rapid Training Data Creation with Weak Supervision Alexander Ratner Stephen H. Bach Henry R. Ehrenberg Jason Alan Fries Sen Wu Christopher Ré 62 1,021 0 28 Nov 2017
Certifying and removing disparate impact Michael Feldman Sorelle A. Friedler John Moeller C. Scheidegger Suresh Venkatasubramanian FaML 129 1,978 0 11 Dec 2014
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 290 7,883 0 13 Jun 2012