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math.OC2023
S-Procedure Relaxation: a Case of Exactness Involving Chebyshev Centers
Simon Foucart, Chunyang Liao
Optimal recovery is a mathematical framework for learning functions from observational data by adopting a worst-case perspective tied to model assumptions on the functions to be le…
cs.LG2023
On the Optimal Recovery of Graph Signals
Simon Foucart, Chunyang Liao, Nate Veldt
Learning a smooth graph signal from partially observed data is a well-studied task in graph-based machine learning. We consider this task from the perspective of optimal recovery,…