Elad Hazan is a professor of computer science at Princeton University. His research focuses on the design and analysis of algorithms for basic problems in machine learning and optimization. Amongst his contributions are the co-invention of the AdaGrad algorithm for deep learning, and the first sublinear-time algorithms for convex optimization. He is the recipient of the Bell Labs prize, the IBM Goldberg best paper award twice, in 2012 and 2008, a European Research Council grant, a Marie Curie fellowship and twice the Google Research Award. He served on the steering committee of the Association for Computational Learning and has been program chair for COLT 2015. In 2017 he co-founded In8 inc. focusing on efficient optimization and control, acquired by Google in 2018. He is the co-founder and director of Google AI Princeton.
- Online Newton Step algorithm - first logarithmic regret for online convex optimization
- First sublinear time algorithms for machine learning and for semi-definite programming
- AdaGrad - first adaptive gradient algorithm
- Provable low-rank fast and simple SDP solver
- First linearly converging projection-free (Frank-Wolfe) algorithm
- Introduction of Non-stochastic Control Theory
More details and links to the relevant papers are in this page.
Link to full CV.