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stat.ML2025
A Unified Analysis of Generalization and Sample Complexity for Semi-Supervised Domain Adaptation
Elif Vural, Huseyin Karaca
Domain adaptation seeks to leverage the abundant label information in a source domain to improve classification performance in a target domain with limited labels. While the field…
stat.ML2025
Graph Signal Inference by Learning Narrowband Spectral Kernels
Osman Furkan Kar, Gülce Turhan, Elif Vural
While a common assumption in graph signal analysis is the smoothness of the signals or the band-limitedness of their spectrum, in many instances the spectrum of real graph data may…