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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…
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…