Lindon Roberts

Orcid: 0000-0001-6438-9703

According to our database1, Lindon Roberts authored at least 15 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Non-Uniform Smoothness for Gradient Descent.
Trans. Mach. Learn. Res., 2024

Expected decrease for derivative-free algorithms using random subspaces.
Math. Comput., 2024

Bilevel Learning with Inexact Stochastic Gradients.
CoRR, 2024

2023
Direct Search Based on Probabilistic Descent in Reduced Spaces.
SIAM J. Optim., December, 2023

Scalable subspace methods for derivative-free nonlinear least-squares optimization.
Math. Program., May, 2023

Dynamic Bilevel Learning with Inexact Line Search.
CoRR, 2023

Analyzing Inexact Hypergradients for Bilevel Learning.
CoRR, 2023

2022
PyCUTEst: an open source Python package of optimization test problems.
J. Open Source Softw., October, 2022

Model-Based Derivative-Free Methods for Convex-Constrained Optimization.
SIAM J. Optim., 2022

A simplified convergence theory for Byzantine resilient stochastic gradient descent.
EURO J. Comput. Optim., 2022

2021
Inexact Derivative-Free Optimization for Bilevel Learning.
J. Math. Imaging Vis., 2021

2020
Efficient Hyperparameter Tuning with Dynamic Accuracy Derivative-Free Optimization.
CoRR, 2020

Scalable Derivative-Free Optimization for Nonlinear Least-Squares Problems.
CoRR, 2020

2019
Improving the Flexibility and Robustness of Model-based Derivative-free Optimization Solvers.
ACM Trans. Math. Softw., 2019

A derivative-free Gauss-Newton method.
Math. Program. Comput., 2019


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