L. Roberts

Latest

• High-resolution x-ray scanning with a diffuse, Huffman-patterned probe to minimise radiation damage
• 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