3 papers
stat.ML2025
Generalisation and benign over-fitting for linear regression onto random functional covariates
Andrew Jones, Nick Whiteley
We study theoretical predictive performance of ridge and ridge-less least-squares regression when covariate vectors arise from evaluating random, means-square continuous functi…
cs.LG2025
Kernel Density Bayesian Inverse Reinforcement Learning
Aishwarya Mandyam, Didong Li, Jiayu Yao +3
Inverse reinforcement learning (IRL) methods infer an agent's reward function using demonstrations of expert behavior. A Bayesian IRL approach models a distribution over candidate…
stat.ML2025
Unsupervised Attributed Dynamic Network Embedding with Stability Guarantees
Emma Ceccherini, Ian Gallagher, Andrew Jones +1
Stability for dynamic network embeddings ensures that nodes behaving the same at different times receive the same embedding, allowing comparison of nodes in the network across time…