Jun 30, 2023 · Abstract:We present a method for solving general nonconvex-strongly-convex bilevel optimization problems. ... We also propose a perturbed variant ...
Abstract. We present a method for solving general nonconvex-strongly-convex bilevel optimization problems. Our method—the Restarted Accelerated ...
Jun 30, 2023 · Abstract. We present a method for solving general nonconvex-strongly-convex bilevel optimization problems.
We present a method for solving general nonconvex-strongly-convex bilevel optimization problems. Our method -- the \emph{Restarted Accelerated HyperGradient ...
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Chris Junchi Li, Michael I Jordan, Maryam Fazel, "Accelerating inexact hypergradient descent for bilevel optimization" Manuscript in submission, 2023 [arXiv] [ ...
In this work, we propose an algorithm with backtracking line search that only relies on inexact function evaluations and hypergradients and show convergence to ...
Abstract. Estimating hyperparameters has been a long-standing problem in machine learning. We consider the case where the task at hand is modeled as the so.
Jan 12, 2023 · Our analysis unifies the accelerated `inexact' approach from [19] with the traditional analysis from. [17, 18], introduces a new family of a ...
Accelerating Inexact HyperGradient Descent for Bilevel Optimization,arXiv
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Jun 30, 2023 · We present a method for solving general nonconvex-strongly-convex bilevel optimization problems. Our method -- the \emph{Restarted ...
We provide a framework and algorithm for tuning the hyperparameters of the Graphical Lasso via a bilevel optimization problem solved with a first-order method.