17 citations · 19 across the 5 of their papers we have counts for
6 papers
An integrated assignment, routing, and speed model for roadway mobility and transportation with environmental, efficiency, and service goals
Tommaso Giovannelli, Luis Nunes Vicente
Managing all the mobility and transportation services with autonomous vehicles for users of a smart city requires determining the assignment of the vehicles to the users and their…
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…
Modeling Hessian-vector products in nonlinear optimization: New Hessian-free methods
Lili Song, Luis Nunes Vicente
In this paper, we suggest two ways of calculating interpolation models for unconstrained smooth nonlinear optimization when Hessian-vector products are available. The main idea is…
The stochastic multi-gradient algorithm for multi-objective optimization and its application to supervised machine learning
Suyun Liu, Luis Nunes Vicente
Optimization of conflicting functions is of paramount importance in decision making, and real world applications frequently involve data that is uncertain or unknown, resulting in…
On partial sparse recovery
Afonso S. Bandeira, Katya Scheinberg, Luis Nunes Vicente
We consider the problem of recovering a partially sparse solution of an underdetermined system of linear equations by minimizing the -norm of the part of the solution vecto…
Convergence of trust-region methods based on probabilistic models
Afonso S. Bandeira, Katya Scheinberg, Luis Nunes Vicente
In this paper we consider the use of probabilistic or random models within a classical trust-region framework for optimization of deterministic smooth general nonlinear functions.…