Elad Hazan is an Israeli-American computer scientist, academic, author and researcher.
[4] Hazan studied at Tel Aviv University and received his bachelor's and master's degrees in Computer Science in 2001 and 2002, respectively.
He then moved to the United States, earning his Doctoral Degree in Computer Science from Princeton University in 2006 under Sanjeev Arora.
Hazan co-introduced adaptive subgradient methods to dynamically incorporate knowledge of the geometry of the data observed in earlier iterations, and to perform more informative gradient-based learning.
[6] In the area of mathematical optimization, Hazan proposed the first sublinear-time algorithms for linear classification as well as semi-definite programming.