Improving the Flexibility and Robustness of Model-Based Derivative-Free Optimization Solvers C Cartis, J Fiala, B Marteau, L Roberts ACM Transactions on Mathematical Software 45 (3), 32:1-32:41, 2019 | 192 | 2019 |
Escaping local minima with local derivative-free methods: a numerical investigation C Cartis, L Roberts, O Sheridan-Methven Optimization 71 (8), 2343-2373, 2022 | 73 | 2022 |
A derivative-free Gauss–Newton method L Roberts, C Cartis Mathematical Programming Computation 11 (4), 631-674, 2019 | 66* | 2019 |
Scalable subspace methods for derivative-free nonlinear least-squares optimization C Cartis, L Roberts Mathematical Programming 199 (1), 461-524, 2023 | 37 | 2023 |
Inexact derivative-free optimization for bilevel learning MJ Ehrhardt, L Roberts Journal of Mathematical Imaging and Vision, 1-21, 2021 | 20 | 2021 |
Does model calibration reduce uncertainty in climate projections? SFB Tett, JM Gregory, N Freychet, C Cartis, MJ Mineter, L Roberts Journal of Climate 35 (8), 2585-2602, 2022 | 18 | 2022 |
Direct search based on probabilistic descent in reduced spaces L Roberts, CW Royer SIAM Journal on Optimization 33 (4), 3057-3082, 2023 | 17 | 2023 |
PyCUTEst: an open source Python package of optimization test problems J Fowkes, L Roberts, Á Bűrmen Journal of Open Source Software 7 (78), 4377, 2022 | 12 | 2022 |
Model-based derivative-free methods for convex-constrained optimization M Hough, L Roberts SIAM Journal on Optimization 32 (4), 2552-2579, 2022 | 12 | 2022 |
Optimizing nonconfigurable, transversely displaced masks for illumination patterns in classical ghost imaging AM Kingston, A Aminzadeh, L Roberts, D Pelliccia, ID Svalbe, ... Physical Review A 107 (2), 023524, 2023 | 9 | 2023 |
Derivative-free algorithms for nonlinear optimisation problems L Roberts PhD Thesis, University of Oxford, 2019 | 9 | 2019 |
A heat and mass transfer study of carbon paste baking L Roberts, E Nordgård-Hansen, Ø Mikkelsen, SA Halvorsen, ... International Communications in Heat and Mass Transfer 88, 9-19, 2017 | 8 | 2017 |
A simplified convergence theory for Byzantine resilient stochastic gradient descent L Roberts, E Smyth EURO Journal on Computational Optimization 10, 100038, 2022 | 7 | 2022 |
Scalable Derivative-Free Optimization for Nonlinear Least-Squares Problems C Cartis, T Ferguson, L Roberts 37th International Conference on Machine Learning Workshop: Beyond First …, 2020 | 6 | 2020 |
Analyzing inexact hypergradients for bilevel learning MJ Ehrhardt, L Roberts IMA Journal of Applied Mathematics, hxad035, 2023 | 4 | 2023 |
Derivative-Free Optimisation for Data Fitting L Roberts | 3 | 2016 |
Expected decrease for derivative-free algorithms using random subspaces W Hare, L Roberts, C Royer Mathematics of Computation, 2024 | 2 | 2024 |
Wavelet methods for variational inequalities L Roberts Honours Thesis, Australian National University, 2011 | 2* | 2011 |
Non-Uniform Smoothness for Gradient Descent AS Berahas, L Roberts, F Roosta Transactions on Machine Learning Research, 2024 | 1 | 2024 |
Dynamic Bilevel Learning with Inexact Line Search MS Salehi, S Mukherjee, L Roberts, MJ Ehrhardt arXiv preprint arXiv:2308.10098, 2023 | 1 | 2023 |