An Efficient Framework for Monitoring Subgroup Performance of Machine Learning Systems

16 December 2022

Papers citing "An Efficient Framework for Monitoring Subgroup Performance of Machine Learning Systems"

11 / 11 papers shown

Title
Operationalizing Machine Learning: An Interview Study Shreya Shankar Rolando Garcia J. M. Hellerstein Aditya G. Parameswaran 88 51 0 16 Sep 2022
Identifying Biased Subgroups in Ranking and Classification Eliana Pastor Luca de Alfaro Elena Baralis CML 39 11 0 17 Aug 2021
MLDemon: Deployment Monitoring for Machine Learning Systems Antonio A. Ginart Martin Jinye Zhang James Zou 66 18 0 28 Apr 2021
ALT-MAS: A Data-Efficient Framework for Active Testing of Machine Learning Algorithms Huong Ha Sunil R. Gupta Santu Rana Svetha Venkatesh 23 3 0 11 Apr 2021
Active Testing: Sample-Efficient Model Evaluation Jannik Kossen Sebastian Farquhar Y. Gal Tom Rainforth VLM 41 51 0 09 Mar 2021
Auditing and Achieving Intersectional Fairness in Classification Problems Giulio Morina V. Oliinyk J. Waton Ines Marusic K. Georgatzis FaML 39 39 0 04 Nov 2019
An Intersectional Definition of Fairness James R. Foulds Rashidul Islam Kamrun Naher Keya Shimei Pan FaML 48 187 0 22 Jul 2018
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness Michael Kearns Seth Neel Aaron Roth Zhiwei Steven Wu FaML 116 775 0 14 Nov 2017
Identifying Significant Predictive Bias in Classifiers Zhe Zhang Daniel B. Neill 48 63 0 24 Nov 2016
Scalable Bayesian Optimization Using Deep Neural Networks Jasper Snoek Oren Rippel Kevin Swersky Ryan Kiros N. Satish N. Sundaram Md. Mostofa Ali Patwary P. Prabhat Ryan P. Adams BDL UQCV 72 1,041 0 19 Feb 2015
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 296 7,883 0 13 Jun 2012