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Bregman Divergence Bounds and Universality Properties of the Logarithmic Loss
Amichai Painsky, Gregory W. Wornell
A loss function measures the discrepancy between the true values and their estimated fits, for a given instance of data. In classification problems, a loss function is said to be p…
A Modulo-Based Architecture for Analog-to-Digital Conversion
Or Ordentlich, Gizem Tabak, Pavan Kumar Hanumolu +2
Systems that capture and process analog signals must first acquire them through an analog-to-digital converter. While subsequent digital processing can remove statistical correlati…
On the Universality of the Logistic Loss Function
Amichai Painsky, Gregory W. Wornell
A loss function measures the discrepancy between the true values (observations) and their estimated fits, for a given instance of data. A loss function is said to be proper (unbias…