Lindon Roberts
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L. Roberts
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Expected decrease for derivative-free algorithms using random subspaces
Black-box Optimization Algorithms for Regularized Least-squares Problems
An adaptively inexact first-order method for bilevel optimization with application to hyperparameter learning
Model Construction for Convex-Constrained Derivative-Free Optimization
Non-Uniform Smoothness for Gradient Descent
Analyzing Inexact Hypergradients for Bilevel Learning
Direct search based on probabilistic descent in reduced spaces
Mask design, fabrication, and experimental ghost imaging applications for patterned X-ray illumination
Optimizing illumination patterns for classical ghost imaging
Furnace Vestibule Heat Transport Models
On the selection of the weighting parameter value in optimizing Eucalyptus globulus pulp yield models based on NIR spectra
PyCUTEst: an open source Python package of optimization test problems
Model-Based Derivative-Free Methods for Convex-Constrained Optimization
A Simplified Convergence Theory for Byzantine Resilient Stochastic Gradient Descent
Scalable Subspace Methods for Derivative-Free Nonlinear Least-Squares Optimization
Does Model Calibration Reduce Uncertainty in Climate Projections?
Escaping local minima with local derivative-free methods: a numerical investigation
Inexact Derivative-Free Optimization for Bilevel Learning
Efficient Hyperparameter Tuning with Dynamic Accuracy Derivative-Free Optimization
Scalable Derivative-Free Optimization for Nonlinear Least-Squares Problems
Improving the Flexibility and Robustness of Model-Based Derivative-Free Optimization Solvers
Derivative-Free Algorithms for Nonlinear Optimisation Problems
A Derivative-Free Gauss-Newton Method
A heat and mass transfer study of carbon paste baking
Derivative-Free Optimisation for Data Fitting
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