17 citations · 37 across the 14 of their papers we have counts for
4 papers · 1 filter
Inexact bilevel stochastic gradient methods for constrained and unconstrained lower-level problems
Tommaso Giovannelli, Griffin Dean Kent, Luis Nunes Vicente
Two-level stochastic optimization formulations have become instrumental in a number of machine learning contexts such as continual learning, neural architecture search, adversarial…
The Sharpe predictor for fairness in machine learning
Suyun Liu, Luis Nunes Vicente
In machine learning (ML) applications, unfair predictions may discriminate against a minority group. Most existing approaches for fair machine learning (FML) treat fairness as a co…
Full-low evaluation methods for derivative-free optimization
Albert S. Berahas, Oumaima Sohab, Luis Nunes Vicente
We propose a new class of rigorous methods for derivative-free optimization with the aim of delivering efficient and robust numerical performance for functions of all types, from s…
A Stochastic Alternating Balance -Means Algorithm for Fair Clustering
Suyun Liu, Luis Nunes Vicente
In the application of data clustering to human-centric decision-making systems, such as loan applications and advertisement recommendations, the clustering outcome might discrimina…