125 citations · 684 across the 34 of their papers we have counts for
3 papers · 2 filters
On the convergence of adaptive first order methods: proximal gradient and alternating minimization algorithms
Puya Latafat, Andreas Themelis, Panagiotis Patrinos
Building upon recent works on linesearch-free adaptive proximal gradient methods, this paper proposes adaPG, a framework that unifies and extends existing results by provid…
On the convergence of proximal gradient methods for convex simple bilevel optimization
Puya Latafat, Andreas Themelis, Silvia Villa +1
This paper studies proximal gradient iterations for solving simple bilevel optimization problems where both the upper and the lower level cost functions are split as the sum of dif…
Adaptive proximal algorithms for convex optimization under local Lipschitz continuity of the gradient
Puya Latafat, Andreas Themelis, Lorenzo Stella +1
Backtracking linesearch is the de facto approach for minimizing continuously differentiable functions with locally Lipschitz gradient. In recent years, it has been shown that in th…