1 citations · 1 across the 2 of their papers we have counts for
2 papers
math.OC2023
Bilevel optimization with a multi-objective lower-level problem: Risk-neutral and risk-averse formulations
Tommaso Giovannelli, Griffin Dean Kent, Luis Nunes Vicente
In this work, we propose different formulations and gradient-based algorithms for deterministic and stochastic bilevel problems with conflicting objectives in the lower level. Such…
math.OC2021★ 1 cited
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…