Master Class: Shai Ben-David (21 - 23 July 2014)
Shai Ben-David grew up in Jerusalem, Israel. He attended the Hebrew University studying physics, mathematics and psychology. He received his PhD under the supervision of Saharon Shelah and Menachem Magidor for a thesis in set theory. Professor Ben-David was a postdoctoral fellow at the University of Toronto in the Mathematics and the Computer Science departments, and in 1987 joined the faculty of the CS Department at the Technion (Israel Institute of Technology). He held visiting faculty positions at the Australian National University in Canberra (1997-8) and at Cornell University (2001-2004). In August 2004 he joined the School of Computer Science at the University of Waterloo.
Shai's research interests span a wide spectrum of topics in the foundations of computer science and its applications, with a particular emphasis on statistical and computational machine learning. The common thread throughout my research is aiming to provide mathematical formulation and understanding of real world problems. In particular, I have been looking at popular machine learning and data mining paradigms that seem to lack clear theoretical justification.
You can view videos of the 3 lectures at the following links:
Day 1: Clustering
Day 2: Use of unlabeled and weakly labeled data
Day 3: Efficient computations on well behaved inputs
CSML master classes are sponsored by Google DeepMind.
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|Wed, 23 Jul 2014||Efficient computations on well behaved inputs|
|Tue, 22 Jul 2014||Use of unlabeled and weakly labeled data|
|Mon, 21 Jul 2014||Clustering|