Shai Ben-David

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Shai Shalev-ShwartzThe Hebrew UniversityVerified email at cs.huji.ac.il
Maya (Margareta) AckermanWaveAI, Santa Clara UniversityVerified email at wave-ai.net
Ruth UrnerAssistant Professor, York University, TorontoVerified email at eecs.yorku.ca
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
Michael LindenbaumProfessor of Computer Science, The TechnionVerified email at cs.technion.ac.il
David HausslerScientific Director, UC Santa Cruz Genomics Institute, University of California, Santa CruzVerified email at soe.ucsc.edu
Ulrike von LuxburgUniversity of TübingenVerified email at informatik.uni-tuebingen.de
John Shawe-TaylorUCLVerified email at cs.ucl.ac.uk
Allan BorodinProfessor of Computer Science, University of TorontoVerified email at cs.toronto.edu
Johannes GehrkeMicrosoftVerified email at microsoft.com
Hassan AshtianiMcMaster UniversityVerified email at mcmaster.ca
Tyler LuResearch Scientist, GoogleVerified email at cs.toronto.edu
Ihab F. IlyasUniversity of WaterlooVerified email at uwaterloo.ca
Eyal KushilevitzComputer Science Department, TechnionVerified email at cs.technion.ac.il
Alex KuleszaResearch Scientist, GoogleVerified email at google.com
Jennifer Wortman VaughanSenior Principal Researcher, Microsoft Research, New York CityVerified email at microsoft.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	3297	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	1564	2010
Analysis of representations for domain adaptation S Ben-David, J Blitzer, K Crammer, F Pereira Advances in neural information processing systems 19, 137, 2007	1240	2007
Detecting change in data streams D Kifer, S Ben-David, J Gehrke VLDB 4, 180-191, 2004	943	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	528	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	519	1997
Exploiting task relatedness for multiple task learning S Ben-David, R Schuller Learning theory and kernel machines, 567-580, 2003	436	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	296	1992
A sober look at clustering stability S Ben-David, U Von Luxburg, D Pál International Conference on Computational Learning Theory, 5-19, 2006	250	2006
RuleBase: An industry-oriented formal verification tool I Beer, S Ben-David, C Eisner, A Landver 33rd Design Automation Conference Proceedings, 1996, 655-660, 1996	211	1996
Measures of clustering quality: A working set of axioms for clustering S Ben-David, M Ackerman Advances in neural information processing systems 21, 121-128, 2008	199	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	198	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	172	2003
Empirical risk minimization under fairness constraints M Donini, L Oneto, S Ben-David, J Shawe-Taylor, M Pontil arXiv preprint arXiv:1802.08626, 2018	165	2018
Efficient detection of vacuity in ACTL formulas I Beer, S Ben-David, C Eisner, Y Rodeh International Conference on Computer Aided Verification, 279-290, 1997	160	1997
A new measure for the study of on-line algorithms S Ben-David, A Borodin Algorithmica 11 (1), 73-91, 1994	158	1994
Impossibility theorems for domain adaptation SB David, T Lu, T Luu, D Pál Proceedings of the Thirteenth International Conference on Artificial …, 2010	151	2010
Clusterability: A theoretical study M Ackerman, S Ben-David Artificial intelligence and statistics, 1-8, 2009	143	2009
On-the-fly model checking of RCTL formulas I Beer, S Ben-David, A Landver International Conference on Computer Aided Verification, 184-194, 1998	137	1998
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	135	2008

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