Publication Search Results
Exact matches for:
- Author = Roberts L [web profile page]
1.
Hare W, Roberts L, Royer CW
Warren Hare, Lindon Roberts and Clément W. Royer:
Expected decrease for derivative-free algorithms using random subspaces,
Mathematics of Computation,
94
(2025),
no. 351,
277–304.
2.
Ehrhardt MJ, Roberts L
Matthias J. Ehrhardt, Lindon Roberts:
Analyzing inexact hypergradients for bilevel learning,
IMA Journal of Applied Mathematics,
89
(2024),
no. 1,
254–278.
3.
Berahas AS, Roberts L, Roosta F
Albert S. Berahas, Lindon Roberts and Fred Roosta:
Non-uniform smoothness for gradient descent,
Transactions on Machine Learning Research,
02
(2024),
Article number 29 (20 pages).
4.
Roberts L, Royer CW
Lindon Roberts and Clément W. Royer:
Direct search based on probabilistic descent in reduced spaces,
SIAM Journal on Optimization,
33
(2023),
no. 4,
3057–3082.
5.
Aminzadeh A, Roberts L, Young B, Chiang CI, Svalbe ID, Paganin DM, Kingston AM
Alaleh Aminzadeh, Lindon Roberts, Benjamin Young, Cheng-I Chiang, Imants D. Svalbe, David M. Paganin and Andrew M. Kingston:
Mask design, fabrication, and experimental ghost imaging applications for patterned X-ray illumination,
Optics Express,
31
(2023),
24328–24346.
6.
Kingston AM, Aminzadeh A, Roberts L, Pelliccia D, Svalbe ID, Paganin DM
Andrew M. Kingston, Alaleh Aminzadeh, Lindon Roberts, Daniele Pelliccia, Imants D. Svalbe and David M. Paganin:
Optimizing nonconfigurable, transversely displaced masks for illumination patterns in classical ghost imaging,
Physical Review A,
107
(2023),
no. 2,
023524:1–023524:24.
7.
Tett SFB, Gregory JM, Freychet N, Cartis C, Mineter MJ, Roberts L
Simon F. B. Tett, Jonathan M. Gregory, Nicolas Freychet, Coralia Cartis, Michael J. Mineter and Lindon Roberts:
Does Model Calibration Reduce Uncertainty in Climate Projections?,
Journal of Climate,
35
(2022),
no. 8,
2585–2602.
8.
Fowkes J, Roberts L, Á *Bűrmen
Jaroslav Fowkes, Lindon Roberts and Árpád Bűrmen:
PyCUTEst: an open source Python package of optimization test problems,
Journal of Open Source Software,
(2022),
2 pages.
9.
Cartis C, Roberts L
Coralia Cartis and Lindon Roberts:
Scalable subspace methods for derivative-free nonlinear least-squares optimization,
Mathematical Programming,
TBD
(2022),
TBD.
10.
Zhen Y, Ho TX, Roberts L, Schimleck LR, Sinha A
Yi Zhen, Tu X. Ho, Lindon Roberts, Laurence R. Schimleck and Arijit Sinha:
On the selection of the weighting parameter value in optimizing Eucalyptus globulus pulp yield models based on NIR spectra,
Wood Science and Technology,
56
(2022),
no. 6,
1835–1850.
11.
Cartis C, Roberts L, Sheridan-Methven O
Coralia Cartis, Lindon Roberts and Oliver Sheridan-Methven:
Escaping local minima with local derivative-free methods: a numerical investigation,
Optimization,
71
(2022),
no. 8,
2343–2373.
12.
Hough M, Roberts L
Matthew Hough and Lindon Roberts:
Model-Based Derivative-Free Methods for Convex-Constrained Optimization,
SIAM Journal on Optimization,
32
(2022),
no. 4,
2552–2579.
13.
Roberts L, Smyth E
Lindon Roberts, Edward Smyth:
A simplified convergence theory for Byzantine resilient stochastic gradient descent,
Euro Journal on Computational Optimization,
10
(2022),
Article 100038 (18 pages).
14.
Ehrhardt MJ, Roberts L
Matthias J. Ehrhardt and Lindon Roberts:
Inexact Derivative-Free Optimization for Bilevel Learning,
Journal of Mathematical Imaging and Vision,
63
(2021),
no. 5,
580–600.
15.
Cartis C, Roberts L
Coralia Cartis and Lindon Roberts:
A derivative-free Gauss–Newton method,
Mathematical Programming Computation,
11
(2019),
no. 4,
631–674.
16.
Cartis C, Fiala J, Marteau B, Roberts L
Coralia Cartis, Jan Fiala, Benjamin Marteau and Lindon Roberts:
Improving the Flexibility and Robustness of Model-based Derivative-free Optimization Solvers,
ACM Transactions on Mathematical Software,
45
(2019),
no. 3,
32:1–41.
| Number of matches: 16 |