ResearchTrend.AI
New Fairness Metrics for Recommendation that Embrace Differences
v1v2 (latest)

New Fairness Metrics for Recommendation that Embrace Differences

Sirui Yao
Bert Huang
ArXiv (abs)PDFHTML

Papers citing "New Fairness Metrics for Recommendation that Embrace Differences"

4 / 4 papers shown
Title
A statistical framework for fair predictive algorithms
A statistical framework for fair predictive algorithms
K. Lum
J. Johndrow
FaML
310
105
0
25 Oct 2016
Equality of Opportunity in Supervised Learning
Equality of Opportunity in Supervised Learning
Moritz Hardt
Eric Price
Nathan Srebro
FaML
230
4,329
0
07 Oct 2016
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.0K
150,260
0
22 Dec 2014
Collaborative Filtering and the Missing at Random Assumption
Collaborative Filtering and the Missing at Random Assumption
Benjamin M. Marlin
R. Zemel
S. Roweis
Malcolm Slaney
77
314
0
20 Jun 2012

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.