Lindon Roberts

According to our database, Lindon Roberts authored at least 13 papers between 2019 and 2023.

Collaborative distances:

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

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

Non-Uniform Smoothness for Gradient Descent.

Albert S. Berahas, Lindon Roberts, Fred Roosta

CoRR, 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 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