4 citations · 5 across the 2 of their papers we have counts for
3 papers
cs.IR2020
TURL: Table Understanding through Representation Learning
Xiang Deng, Huan Sun, Alyssa Lees +2
Relational tables on the Web store a vast amount of knowledge. Owing to the wealth of such tables, there has been tremendous progress on a variety of tasks in the area of table und…
cs.LG2019★ 4 cited
What is Fair? Exploring Pareto-Efficiency for Fairness Constrained Classifiers
Ananth Balashankar, Alyssa Lees, Chris Welty +1
The potential for learned models to amplify existing societal biases has been broadly recognized. Fairness-aware classifier constraints, which apply equality metrics of performance…
cs.LG2019★ 1 cited
Fairness Sample Complexity and the Case for Human Intervention
Ananth Balashankar, Alyssa Lees
With the aim of building machine learning systems that incorporate standards of fairness and accountability, we explore explicit subgroup sample complexity bounds. The work is moti…