Shai Ben-David

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Shai Ben-David is an Israeli-Canadian computer scientist and professor at the University of Waterloo. He is known for his research in theoretical machine learning.[1]

Biography

Shai Ben-David grew up in Jerusalem, Israel and received a Ph.D. in mathematics from the Hebrew University of Jerusalem,[2] where he was advised by Saharon Shelah.[3][2] He held postdoctoral positions in mathematics and computer science at the University of Toronto. He was a professor of computer science at the Technion and also held visiting positions at the Australian National University and Cornell University.[4]

He has been a professor of computer science at the University of Waterloo since 2004.

Selected publications and awards

Ben-David has written highly cited papers on learning theory and online algorithms.[5][6][7][8][9] He is a co-author, with Shai Shalev-Shwartz, of the book "Understanding Machine Learning: From Theory to Algorithms"(Cambridge University Press, 2014).[1]

He received the best paper award at NeurIPS 2018.[10] for work on sample complexity of distribution learning problems.[11] He was the President of the Association for Computational Learning from 2009 to 2011.[12]

Awards

Publications

  • Understanding machine learning: From theory to algorithms

Authors: Shai Shalev-Shwartz, Shai Ben-David Publication date 2014/5/19 Publisher Cambridge university press

  • A theory of learning from different domains

Authors: Shai Ben-David, John Blitzer, Koby Crammer, Alex Kulesza, Fernando Pereira, Jennifer Wortman Vaughan Publication date 2010/5 Journal Machine learning Volume 79 Pages 151-175 Publisher Springer US

  • Analysis of representations for domain adaptation

Authors: Shai Ben-David, John Blitzer, Koby Crammer, Fernando Pereira Publication date 2006 Journal Advances in neural information processing systems Volume 19

  • Detecting change in data streams

Authors: Daniel Kifer, Shai Ben-David, Johannes Gehrke Publication date 2004/8/31 Journal VLDB Volume 4

References

External links