3 citations · 3 across the 3 of their papers we have counts for
3 papers
math.OC2023
Linearization Algorithms for Fully Composite Optimization
Maria-Luiza Vladarean, Nikita Doikov, Martin Jaggi +1
This paper studies first-order algorithms for solving fully composite optimization problems over convex and compact sets. We leverage the structure of the objective by handling its…
math.OC2021
A first-order primal-dual method with adaptivity to local smoothness
Maria-Luiza Vladarean, Yura Malitsky, Volkan Cevher
We consider the problem of finding a saddle point for the convex-concave objective , where is a convex function with locally…
cs.LG2020★ 3 cited
Conditional gradient methods for stochastically constrained convex minimization
Maria-Luiza Vladarean, Ahmet Alacaoglu, Ya-Ping Hsieh +1
We propose two novel conditional gradient-based methods for solving structured stochastic convex optimization problems with a large number of linear constraints. Instances of this…