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Lindon Roberts
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2020 – today
- 2024
- [j10]Warren L. Hare, Lindon Roberts, Clément W. Royer:
Expected decrease for derivative-free algorithms using random subspaces. Math. Comput. 94(351): 277-304 (2024) - [j9]Albert S. Berahas, Lindon Roberts, Fred Roosta:
Non-Uniform Smoothness for Gradient Descent. Trans. Mach. Learn. Res. 2024 (2024) - [i8]Mohammad Sadegh Salehi, Subhadip Mukherjee, Lindon Roberts, Matthias J. Ehrhardt:
Bilevel Learning with Inexact Stochastic Gradients. CoRR abs/2412.12049 (2024) - 2023
- [j8]Coralia Cartis, Lindon Roberts
:
Scalable subspace methods for derivative-free nonlinear least-squares optimization. Math. Program. 199(1): 461-524 (2023) - [j7]Lindon Roberts
, Clément W. Royer
:
Direct Search Based on Probabilistic Descent in Reduced Spaces. SIAM J. Optim. 33(4): 3057-3082 (2023) - [i7]Matthias J. Ehrhardt, Lindon Roberts
:
Analyzing Inexact Hypergradients for Bilevel Learning. CoRR abs/2301.04764 (2023) - [i6]Mohammad Sadegh Salehi, Subhadip Mukherjee, Lindon Roberts
, Matthias J. Ehrhardt:
Dynamic Bilevel Learning with Inexact Line Search. CoRR abs/2308.10098 (2023) - [i5]Albert S. Berahas, Lindon Roberts, Fred Roosta:
Non-Uniform Smoothness for Gradient Descent. CoRR abs/2311.08615 (2023) - 2022
- [j6]Lindon Roberts
, Edward Smyth:
A simplified convergence theory for Byzantine resilient stochastic gradient descent. EURO J. Comput. Optim. 10: 100038 (2022) - [j5]Jaroslav M. Fowkes, Lindon Roberts
, Árpád Bürmen:
PyCUTEst: an open source Python package of optimization test problems. J. Open Source Softw. 7(78): 4377 (2022) - [j4]Matthew Hough
, Lindon Roberts
:
Model-Based Derivative-Free Methods for Convex-Constrained Optimization. SIAM J. Optim. 32(4): 2552-2579 (2022) - [i4]Lindon Roberts, Edward Smyth:
A simplified convergence theory for Byzantine resilient stochastic gradient descent. CoRR abs/2208.11879 (2022) - 2021
- [j3]Matthias J. Ehrhardt
, Lindon Roberts
:
Inexact Derivative-Free Optimization for Bilevel Learning. J. Math. Imaging Vis. 63(5): 580-600 (2021) - 2020
- [i3]Matthias J. Ehrhardt
, Lindon Roberts:
Inexact Derivative-Free Optimization for Bilevel Learning. CoRR abs/2006.12674 (2020) - [i2]Coralia Cartis, Tyler Ferguson, Lindon Roberts:
Scalable Derivative-Free Optimization for Nonlinear Least-Squares Problems. CoRR abs/2007.13243 (2020) - [i1]Matthias J. Ehrhardt, Lindon Roberts:
Efficient Hyperparameter Tuning with Dynamic Accuracy Derivative-Free Optimization. CoRR abs/2011.03151 (2020)
2010 – 2019
- 2019
- [j2]Coralia Cartis, Lindon Roberts
:
A derivative-free Gauss-Newton method. Math. Program. Comput. 11(4): 631-674 (2019) - [j1]Coralia Cartis, Jan Fiala, Benjamin Marteau, Lindon Roberts
:
Improving the Flexibility and Robustness of Model-based Derivative-free Optimization Solvers. ACM Trans. Math. Softw. 45(3): 32:1-32:41 (2019)
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