3 papers
eess.SP2026
Functional Multi-Target Detection via Bispectrum Inversion
Anna Little, Daniel Sanz-Alonso, Mikhail Sweeney +1
This paper develops a functional theory for multi-target detection, where a compactly supported signal is recovered from a single noisy observation containing many unknown translat…
stat.ML2026
Bayesian Optimization on Networks
Wenwen Li, Daniel Sanz-Alonso, Ruiyi Yang
This paper studies optimization on networks modeled as metric graphs. Motivated by applications where the objective function is expensive to evaluate or only available as a black b…
math.NA2024
Gaussian Process Regression under Computational and Epistemic Misspecification
Daniel Sanz-Alonso, Ruiyi Yang
Gaussian process regression is a classical kernel method for function estimation and data interpolation. In large data applications, computational costs can be reduced using low-ra…