Shai Ben-David

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Shai Shalev-ShwartzThe Hebrew UniversityVerified email at cs.huji.ac.il
Ruth UrnerAssistant Professor, York University, TorontoVerified email at eecs.yorku.ca
Maya (Margareta) AckermanWaveAI, Santa Clara UniversityVerified email at wave-ai.net
Dávid PálStaff Machine Learning Engineer, InstacartVerified email at instacart.com
Fernando PereiraVP and Engineering Fellow, GoogleVerified email at google.com
Koby CrammerProfessor of Electrical Engineering, Technion - Israel Institute of TechnologyVerified email at ee.technion.ac.il
John BlitzerGoogle ResearchVerified email at google.com
Hans Ulrich SimonRetired Professor, Dept. of Math., Ruhr-University BochumVerified email at rub.de
Ulrike von LuxburgUniversity of TübingenVerified email at informatik.uni-tuebingen.de
John Shawe-TaylorUCLVerified email at cs.ucl.ac.uk
Michael LindenbaumProfessor of Computer Science, The TechnionVerified email at cs.technion.ac.il
Eyal KushilevitzComputer Science Department, TechnionVerified email at cs.technion.ac.il
Hassan AshtianiMcMaster UniversityVerified email at mcmaster.ca
Allan BorodinProfessor of Computer Science, University of TorontoVerified email at cs.toronto.edu
David HausslerScientific Director, UC Santa Cruz Genomics Institute, University of California, Santa CruzVerified email at soe.ucsc.edu
Yishay MansourTel Aviv UniversityVerified email at tauex.tau.ac.il
Johannes GehrkeMicrosoftVerified email at microsoft.com
Alex KuleszaResearch Scientist, GoogleVerified email at google.com
Jennifer Wortman VaughanSenior Principal Researcher, Microsoft Research, New York CityVerified email at microsoft.com
Shrinu KushagraGoogle - DeepMindVerified email at deepmind.com

Shai Ben-David

Univerity of Waterloo, Canada

Verified email at uwaterloo.ca

Theoretical computer science Machine Learning Clustering Mathematical logic


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Understanding machine learning: From theory to algorithms S Shalev-Shwartz, S Ben-David Cambridge university press, 2014	4828	2014
A theory of learning from different domains S Ben-David, J Blitzer, K Crammer, A Kulesza, F Pereira, JW Vaughan Machine learning 79 (1), 151-175, 2010	2325	2010
Analysis of representations for domain adaptation S Ben-David, J Blitzer, K Crammer, F Pereira Advances in neural information processing systems 19, 2006	1694	2006
Detecting change in data streams D Kifer, S Ben-David, J Gehrke VLDB 4, 180-191, 2004	1031	2004
On the power of randomization in on-line algorithms S Ben-David, A Borodin, R Karp, G Tardos, A Wigderson Algorithmica 11 (1), 2-14, 1994	562	1994
Scale-sensitive dimensions, uniform convergence, and learnability N Alon, S Ben-David, N Cesa-Bianchi, D Haussler Journal of the ACM (JACM) 44 (4), 615-631, 1997	537	1997
Exploiting task relatedness for multiple task learning S Ben-David, R Schuller Learning theory and kernel machines, 567-580, 2003	479	2003
On the theory of average case complexity S Ben-David, B Chor, O Goldreich, M Luby Journal of Computer and system Sciences 44 (2), 193-219, 1992	316	1992
Empirical risk minimization under fairness constraints M Donini, L Oneto, S Ben-David, JS Shawe-Taylor, M Pontil Advances in Neural Information Processing Systems 31, 2018	287	2018
A sober look at clustering stability S Ben-David, U Luxburg, D Pál International conference on computational learning theory, 5-19, 2006	273	2006
Impossibility theorems for domain adaptation SB David, T Lu, T Luu, D Pál Proceedings of the Thirteenth International Conference on Artificial …, 2010	231	2010
Measures of clustering quality: A working set of axioms for clustering S Ben-David, M Ackerman Advances in neural information processing systems 21, 2008	222	2008
The temporal logic Sugar I Beer, S Ben-David, C Eisner, D Fisman, A Gringauze, Y Rodeh International Conference on Computer Aided Verification, 363-367, 2001	202	2001
On the difficulty of approximately maximizing agreements S Ben-David, N Eiron, PM Long Journal of Computer and System Sciences 66 (3), 496-514, 2003	186	2003
A new measure for the study of on-line algorithms S Ben-David, A Borodin Algorithmica 11 (1), 73-91, 1994	161	1994
Clusterability: A theoretical study M Ackerman, S Ben-David Artificial intelligence and statistics, 1-8, 2009	155	2009
Characterizations of Learnability for Classes of {0,..., n)-Valued Functions S Ben-David, N Cesa-Bianchi, D Haussler, P Long	148*
Does Unlabeled Data Provably Help? Worst-case Analysis of the Sample Complexity of Semi-Supervised Learning. S Ben-David, T Lu, D Pál COLT, 33-44, 2008	138	2008
A uniqueness theorem for clustering RB Zadeh, S Ben-David arXiv preprint arXiv:1205.2600, 2012	135	2012
Agnostic Online Learning. S Ben-David, D Pál, S Shalev-Shwartz COLT 3, 1, 2009	127	2009

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