US Patent Issued to YAHOO ASSETS on May 19 for "Ratio prediction using machine learning models employing strict convex loss functions and proximal point optimization" (Israeli Inventors)

ALEXANDRIA, Va., May 19 -- United States Patent no. 12,632,876, issued on May 19, was assigned to YAHOO ASSETS LLC (New York).

"Ratio prediction using machine learning models employing strict convex loss functions and proximal point optimization" was invented by Amit Tsvieli (Haifa, Israel) and Alex Shtoff (Haifa, Israel).

According to the abstract* released by the U.S. Patent & Trademark Office: "In some implementations, the techniques described herein relate to a method including: receiving a training data set, the training data set including data representing consumer interactions and actions taken by consumers after the consumer interactions; executing a training run using a predictive model, the predictive model including a plurality...