2 papers
stat.ML2026
pESTO: Iterative p-greedy kernel regression with risk-driven Early STOpping
L. Bruni Bruno, P. Massa, E. Perracchione +1
Kernel-based greedy algorithms select suitable approximation nodes by minimizing point-wise error indicators, such as the power function; in this context, they are usually referred…
math.NA2025
Greedy techniques for inverse problems
L. Bruni Bruno, P. Massa, E. Perracchione +1
Inverse imaging problems rely on limited and indirect measurements, making reconstruction highly dependent on both regularization and sample locations. We introduce a novel greedy…