no code implementations • 25 Feb 2022 • Yuan Gao, Kaiyu Yang, Yuanlong Chen, Min Liu, Noureddine El Karoui
We establish a general optimization framework for the design of automated bidding agent in dynamic online marketplaces.
no code implementations • 23 Jun 2020 • Kinjal Basu, Cyrus DiCiccio, Heloise Logan, Noureddine El Karoui
Incorporating fairness while building such systems is crucial and can have a deep social and economic impact (applications include job recommendations, recruiters searching for candidates, etc.).
no code implementations • 19 Jun 2020 • Preetam Nandy, Cyrus DiCiccio, Divya Venugopalan, Heloise Logan, Kinjal Basu, Noureddine El Karoui
Building fair recommender systems is a challenging and crucial area of study due to its immense impact on society.
no code implementations • 2 Aug 2016 • Noureddine El Karoui, Elizabeth Purdom
We consider ordinary least-squares as well as robust regression methods and adopt a minimalist performance requirement: can the bootstrap give us good confidence intervals for a single coordinate of $\beta$?
no code implementations • 23 May 2014 • Noureddine El Karoui, Hau-Tieng Wu
Recently, several data analytic techniques based on connection graph laplacian (CGL) ideas have appeared in the literature.
no code implementations • 1 Oct 2013 • Noureddine El Karoui, Hau-Tieng Wu
Graph connection Laplacian (GCL) is a modern data analysis technique that is starting to be applied for the analysis of high dimensional and massive datasets.