Geometry and Stability of Supervised Learning Problems
Mémoli, Facundo, Brantley Vose, and Robert C. Williamson. 2024. “Geometry and Stability of Supervised Learning Problems”. ArXiv.
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Data Models With Two Manifestations of Imprecision
Frölich, Christian, and Robert C. Williamson. 2024. “Data Models With Two Manifestations of Imprecision”. ArXiv.
Slow Science
Machine learning research is notoriously fast paced. Can one get off the treadmill and embrace a notion of slow science ? I am pleased to be able to argue yes by example! Recently I have had two works published with a very long gestation. The first Geometry and Calculus of Losses reports work that...
Corruptions of Supervised Learning Problems: Typology and Mitigations
Iacovissi, Laura, Nan Lu, and Robert C. Williamson. 2024. “Corruptions of Supervised Learning Problems: Typology and Mitigations”. ArXiv.
Four Facets of Forecast Felicity: Calibration, Predictiveness, Randomness and Regret
Derr, Rabanus, and Robert C. Williamson. 2024. “Four Facets of Forecast Felicity: Calibration, Predictiveness, Randomness and Regret.”