May 2, 2022, 1:11 a.m. | Ali Vardasbi, Fatemeh Sarvi, Maarten de Rijke

cs.LG updates on arXiv.org arxiv.org

There are several measures for fairness in ranking, based on different
underlying assumptions and perspectives. PL optimization with the REINFORCE
algorithm can be used for optimizing black-box objective functions over
permutations. In particular, it can be used for optimizing fairness measures.
However, though effective for queries with a moderate number of repeating
sessions, PL optimization has room for improvement for queries with a small
number of repeating sessions.


In this paper, we present a novel way of representing permutation
distributions, …

arxiv fairness graph optimization ranking search

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Stagista Technical Data Engineer

@ Hager Group | BRESCIA, IT

Data Analytics - SAS, SQL - Associate

@ JPMorgan Chase & Co. | Mumbai, Maharashtra, India