77 citations · 111 across the 14 of their papers we have counts for
3 papers · 1 filter
Expected decrease for derivative-free algorithms using random subspaces
Warren Hare, Lindon Roberts, Clément W. Royer
Derivative-free algorithms seek the minimum of a given function based only on function values queried at appropriate points. Although these methods are widely used in practice, the…
An adaptively inexact first-order method for bilevel optimization with application to hyperparameter learning
Mohammad Sadegh Salehi, Subhadip Mukherjee, Lindon Roberts +1
Various tasks in data science are modeled utilizing the variational regularization approach, where manually selecting regularization parameters presents a challenge. The difficulty…
Analyzing Inexact Hypergradients for Bilevel Learning
Matthias J. Ehrhardt, Lindon Roberts
Estimating hyperparameters has been a long-standing problem in machine learning. We consider the case where the task at hand is modeled as the solution to an optimization problem.…