Edo Liberty
homepage:http://labs.yahoo.com/author/edo/
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Description

Edo Liberty is leading the "Scalable Machine Learning" research group at Yahoo Labs in New York, focusing on the theory and practice of (very) large scale data mining and machine learning; in particular, on theoretical foundations of machine learning, optimizations, scalable scientific computing, and machine learning systems and platforms. He received his PhD in Computer Science from Yale University, under the supervision of Steven Zucker. During his PhD he spent time at both UCLA and Google as an engineering intern and a researcher. After that, he joined the Program in Applied Mathematics at Yale as a Post-Doctoral fellow. In 2009 he joined Yahoo Labs. He has published important papers on correlation clustering [1, 4] and given several lectures. He received the best paper award at SODA 2011 and KDD 2013. More information can be found at http://www.cs.yale.edu/homes/el327/.


Lectures:

invited talk
flag Algorithms, Data, Hardware and Tools - a Perfect Storm
as presenter at  24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), London 2018,
together with: Alex Smola (presenter),
1192 views
  lecture
flag Online PCA with Spectral Bounds
as author at  28th Annual Conference on Learning Theory (COLT), Paris 2015,
2221 views
tutorial
flag Correlation Clustering: From Theory to Practice
as author at  20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), New York 2014,
together with: David Garcia-Soriano, Francesco Bonchi,
5599 views
  best paper
flag Simple and Deterministic Matrix Sketching
as author at  19th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Chicago 2013,
4700 views