Presented By
O’Reilly + Intel AI
Put AI to Work
April 15-18, 2019
New York, NY
Tony Jebara

Tony Jebara
Associate Professor & Chief Scientist , Netflix & Columbia University

Website

Tony Jebara is director of machine learning at Netflix and professor on leave from Columbia University. He has published over 100 peer-reviewed papers in leading conferences and journals across machine learning, computer vision, social networks and recommendation. His work has been recognized with best paper awards from the International Conference on Machine Learning and from the Pattern Recognition Society. He is the author of the book Machine Learning: Discriminative and Generative. Jebara is the recipient of the Career award from the National Science Foundation as well as faculty awards from Google, Yahoo and IBM. He has co-founded and advised multiple startup companies in the domain of artificial intelligence. Jebara has served as general chair and program chair for the International Conference on Machine Learning. He obtained a PhD from MIT in 2002.

Sessions

10:05am10:20am Wednesday, April 17, 2019
Location: Grand Ballroom West
Tony Jebara (Netflix & Columbia University)
For many years, the main goal of the Netflix recommendation system has been to get the right titles in front of each member at the right time. Today, we use nonlinear, probabilistic, and deep learning approaches to make even better rankings of our movies and TV shows for each user. Read more.