Lindon Roberts

22 papers Journal 21Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	An Adaptively Inexact First-Order Method for Bilevel Optimization with Application to Hyperparameter Learning. SIAM J. Math. Data Sci. Mohammad Sadegh Salehi, Subhadip Mukherjee, Lindon Roberts, Matthias J. Ehrhardt
2025	J	`jnl`	Bilevel Learning via Inexact Stochastic Gradient Descent. CoRR Mohammad Sadegh Salehi, Subhadip Mukherjee, Lindon Roberts, Matthias J. Ehrhardt
2025	—	`conf`	Bilevel Learning with Inexact Stochastic Gradients. SSVM (1) Mohammad Sadegh Salehi, Subhadip Mukherjee, Lindon Roberts, Matthias J. Ehrhardt
2025	J	`jnl`	Model Construction for Convex-Constrained Derivative-Free Optimization. SIAM J. Optim. Lindon Roberts
2024	J	`jnl`	Bilevel Learning with Inexact Stochastic Gradients. CoRR Mohammad Sadegh Salehi, Subhadip Mukherjee, Lindon Roberts, Matthias J. Ehrhardt
2024	J	`jnl`	Expected decrease for derivative-free algorithms using random subspaces. Math. Comput. Warren L. Hare, Lindon Roberts, Clément W. Royer
2024	J	`jnl`	Non-Uniform Smoothness for Gradient Descent. Trans. Mach. Learn. Res. Albert S. Berahas, Lindon Roberts, Fred Roosta
2023	J	`jnl`	Analyzing Inexact Hypergradients for Bilevel Learning. CoRR Matthias J. Ehrhardt, Lindon Roberts
2023	J	`jnl`	Direct Search Based on Probabilistic Descent in Reduced Spaces. SIAM J. Optim. Lindon Roberts, Clément W. Royer
2023	J	`jnl`	Dynamic Bilevel Learning with Inexact Line Search. CoRR Mohammad Sadegh Salehi, Subhadip Mukherjee, Lindon Roberts, Matthias J. Ehrhardt
2023	J	`jnl`	Non-Uniform Smoothness for Gradient Descent. CoRR Albert S. Berahas, Lindon Roberts, Fred Roosta
2023	J	`jnl`	Scalable subspace methods for derivative-free nonlinear least-squares optimization. Math. Program. Coralia Cartis, Lindon Roberts
2022	J	`jnl`	A simplified convergence theory for Byzantine resilient stochastic gradient descent. CoRR Lindon Roberts, Edward Smyth
2022	J	`jnl`	A simplified convergence theory for Byzantine resilient stochastic gradient descent. EURO J. Comput. Optim. Lindon Roberts, Edward Smyth
2022	J	`jnl`	Model-Based Derivative-Free Methods for Convex-Constrained Optimization. SIAM J. Optim. Matthew Hough, Lindon Roberts
2022	J	`jnl`	PyCUTEst: an open source Python package of optimization test problems. J. Open Source Softw. Jaroslav M. Fowkes, Lindon Roberts, Árpád Bürmen
2021	J	`jnl`	Inexact Derivative-Free Optimization for Bilevel Learning. J. Math. Imaging Vis. Matthias J. Ehrhardt, Lindon Roberts
2020	J	`jnl`	Efficient Hyperparameter Tuning with Dynamic Accuracy Derivative-Free Optimization. CoRR Matthias J. Ehrhardt, Lindon Roberts
2020	J	`jnl`	Inexact Derivative-Free Optimization for Bilevel Learning. CoRR Matthias J. Ehrhardt, Lindon Roberts
2020	J	`jnl`	Scalable Derivative-Free Optimization for Nonlinear Least-Squares Problems. CoRR Coralia Cartis, Tyler Ferguson, Lindon Roberts
2019	J	`jnl`	A derivative-free Gauss-Newton method. Math. Program. Comput. Coralia Cartis, Lindon Roberts
2019	J	`jnl`	Improving the Flexibility and Robustness of Model-based Derivative-free Optimization Solvers. ACM Trans. Math. Softw. Coralia Cartis, Jan Fiala, Benjamin Marteau, Lindon Roberts