125 citations · 684 across the 34 of their papers we have counts for
3 papers · 1 filter
A penalty barrier framework for nonconvex constrained optimization
Alberto De Marchi, Andreas Themelis
We consider minimization problems with structured objective function and smooth constraints, and present a flexible framework that combines the beneficial regularization effects of…
Safeguarding adaptive methods: global convergence of Barzilai-Borwein and other stepsize choices
Hongjia Ou, Andreas Themelis
Leveraging on recent advancements on adaptive methods for convex minimization problems, this paper provides a linesearch-free proximal gradient framework for globalizing the conver…
Adaptive proximal gradient methods are universal without approximation
Konstantinos A. Oikonomidis, Emanuel Laude, Puya Latafat +2
We show that adaptive proximal gradient methods for convex problems are not restricted to traditional Lipschitzian assumptions. Our analysis reveals that a class of linesearch-free…