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stat.ML2020
Piecewise Linear Regression via a Difference of Convex Functions
Ali Siahkamari, Aditya Gangrade, Brian Kulis +1
We present a new piecewise linear regression methodology that utilizes fitting a difference of convex functions (DC functions) to the data. These are functions that may be repr…
stat.ML2019
Learning to Approximate a Bregman Divergence
Ali Siahkamari, Xide Xia, Venkatesh Saligrama +2
Bregman divergences generalize measures such as the squared Euclidean distance and the KL divergence, and arise throughout many areas of machine learning. In this paper, we focus o…