7 citations · 15 across the 8 of their papers we have counts for
3 papers · 2 filters
Smooth ECE: Principled Reliability Diagrams via Kernel Smoothing
Jarosław Błasiok, Preetum Nakkiran
Calibration measures and reliability diagrams are two fundamental tools for measuring and interpreting the calibration of probabilistic predictors. Calibration measures quantify th…
When Does Optimizing a Proper Loss Yield Calibration?
Jarosław Błasiok, Parikshit Gopalan, Lunjia Hu +1
Optimizing proper loss functions is popularly believed to yield predictors with good calibration properties; the intuition being that for such losses, the global optimum is to pred…
Loss Minimization Yields Multicalibration for Large Neural Networks
Jarosław Błasiok, Parikshit Gopalan, Lunjia Hu +2
Multicalibration is a notion of fairness for predictors that requires them to provide calibrated predictions across a large set of protected groups. Multicalibration is known to be…