US Patent Issued to International Business Machines, University of Michigan on Nov. 25 for "Training individually fair machine learning algorithms via distributionally robust optimization" (American, Chinese Inventors)

ALEXANDRIA, Va., Nov. 25 -- United States Patent no. 12,481,895, issued on Nov. 25, was assigned to International Business Machines Corp. (Armonk, N.Y.) and University of Michigan (Ann Arbor, Mich.).

"Training individually fair machine learning algorithms via distributionally robust optimization" was invented by Sohini Upadhyay (Cambridge, Mass.), Mikhail Yurochkin (Cambridge, Mass.), Debarghya Mukherjee (Ann Arbor, Mich.), Yuekai Sun (Ann Arbor, Mich.), Amanda Ruth Garcia Bower (Melvindale, Mich.), Seyed Hamid Eftekhari (Ypsilanti, Mich.), Alexander Vargo (Ann Arbor, Mich.) and Fan Zhang (Fushun, China).

According to the abstract* released by the U.S. Patent & Trademark Office: "Obtain a first data set, a second data set, and a machine l...