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cs.LG2026
Weak-to-Strong Generalization is Nearly Inevitable (in Linear Models)
Scott Geng, Dutch Hansen, Jerry Li
Weak-to-strong generalization is a phenomenon in post-training whereby a strong student model, when finetuned solely with feedback from a weaker teacher, can not only surpass the t…
cs.LG2025
Auditability and the Landscape of Distance to Multicalibration
Nathan Derhake, Siddartha Devic, Dutch Hansen +2
Calibration is a critical property for establishing the trustworthiness of predictors that provide uncertainty estimates. Multicalibration is a strengthening of calibration which r…
cs.LG2024
When is Multicalibration Post-Processing Necessary?
Dutch Hansen, Siddartha Devic, Preetum Nakkiran +1
Calibration is a well-studied property of predictors which guarantees meaningful uncertainty estimates. Multicalibration is a related notion -- originating in algorithmic fairness…