2 papers
cs.LG2026
Mildly Overparameterized ReLU Networks on Orthogonal Data: Incremental Learning and Implicit Bias
James Town, Etienne Boursier, Ben Lewis +2
The successful training of neural networks hinges on the use of first order optimization methods, yet the theoretical characterization of these methods remains incomplete. This is…
cs.LG2025
Bayesian Optimisation: Which Constraints Matter?
Xietao Wang Lin, Juan Ungredda, Max Butler +4
Bayesian optimisation has proven to be a powerful tool for expensive global black-box optimisation problems. In this paper, we propose new Bayesian optimisation variants of the pop…