Lindon Roberts

According to our database, Lindon Roberts authored at least 17 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

An Adaptively Inexact First-Order Method for Bilevel Optimization with Application to Hyperparameter Learning.

Mohammad Sadegh Salehi, Subhadip Mukherjee, Lindon Roberts, Matthias J. Ehrhardt

SIAM J. Math. Data Sci., 2025

Model Construction for Convex-Constrained Derivative-Free Optimization.

Lindon Roberts

SIAM J. Optim., 2025

Bilevel Learning with Inexact Stochastic Gradients.

Mohammad Sadegh Salehi, Subhadip Mukherjee, Lindon Roberts, Matthias J. Ehrhardt

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2025

2024

Non-Uniform Smoothness for Gradient Descent.

Albert S. Berahas, Lindon Roberts, Fred Roosta

Trans. Mach. Learn. Res., 2024

Expected decrease for derivative-free algorithms using random subspaces.

Warren L. Hare, Lindon Roberts, Clément W. Royer

Math. Comput., 2024

2023

Direct Search Based on Probabilistic Descent in Reduced Spaces.

Lindon Roberts, Clément W. Royer

SIAM J. Optim., December, 2023

Scalable subspace methods for derivative-free nonlinear least-squares optimization.

Coralia Cartis, Lindon Roberts

Math. Program., May, 2023

Dynamic Bilevel Learning with Inexact Line Search.

Mohammad Sadegh Salehi, Subhadip Mukherjee, Lindon Roberts, Matthias J. Ehrhardt

CoRR, 2023

Analyzing Inexact Hypergradients for Bilevel Learning.

Matthias J. Ehrhardt, Lindon Roberts

CoRR, 2023

2022

PyCUTEst: an open source Python package of optimization test problems.

Jaroslav M. Fowkes, Lindon Roberts, Árpád Bürmen

J. Open Source Softw., October, 2022

Model-Based Derivative-Free Methods for Convex-Constrained Optimization.

Matthew Hough, Lindon Roberts

SIAM J. Optim., 2022

A simplified convergence theory for Byzantine resilient stochastic gradient descent.

Lindon Roberts, Edward Smyth

EURO J. Comput. Optim., 2022

2021

Inexact Derivative-Free Optimization for Bilevel Learning.

Matthias J. Ehrhardt, Lindon Roberts

J. Math. Imaging Vis., 2021

2020

Efficient Hyperparameter Tuning with Dynamic Accuracy Derivative-Free Optimization.

Matthias J. Ehrhardt, Lindon Roberts

CoRR, 2020

Scalable Derivative-Free Optimization for Nonlinear Least-Squares Problems.

Coralia Cartis, Tyler Ferguson, Lindon Roberts

CoRR, 2020

2019

Improving the Flexibility and Robustness of Model-based Derivative-free Optimization Solvers.

Coralia Cartis, Jan Fiala, Benjamin Marteau, Lindon Roberts

ACM Trans. Math. Softw., 2019

A derivative-free Gauss-Newton method.

Coralia Cartis, Lindon Roberts

Math. Program. Comput., 2019