Shai BenDavid
According to our database^{1},
Shai BenDavid
authored at least 118 papers
between 1986 and 2020.
Collaborative distances:
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at zbmath.org

at dl.acm.org
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Bibliography
2020
Proceedings of the Algorithmic Learning Theory, 2020
2019
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019
Proceedings of the Conference on Learning Theory, 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Nearly tight sample complexity bounds for learning mixtures of Gaussians via sample compression schemes.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Algorithmic Learning Theory, 2018
Proceedings of the ThirtySecond AAAI Conference on Artificial Intelligence, 2018
Proceedings of the ThirtySecond AAAI Conference on Artificial Intelligence, 2018
2017
CoRR, 2017
CoRR, 2017
CoRR, 2017
2016
J. Mach. Learn. Res., 2016
Dagstuhl Reports, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the 41st International Symposium on Mathematical Foundations of Computer Science, 2016
Proceedings of the Algorithmic Learning Theory  27th International Conference, 2016
Proceedings of the Algorithmic Learning Theory  27th International Conference, 2016
2015
J. Mach. Learn. Res., 2015
CoRR, 2015
CoRR, 2015
CoRR, 2015
Proceedings of the ThirtyFirst Conference on Uncertainty in Artificial Intelligence, 2015
Proceedings of The 28th Conference on Learning Theory, 2015
Proceedings of the Algorithmic Learning Theory  26th International Conference, 2015
Proceedings of the Algorithmic Learning Theory  26th International Conference, 2015
2014
Ann. Math. Artif. Intell., 2014
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
Proceedings of The 27th Conference on Learning Theory, 2014
Cambridge University Press, ISBN: 9781107057135, 2014
2013
Proceedings of the 4th MultiClust Workshop on Multiple Clusterings, 2013
Proceedings of the 30th International Conference on Machine Learning, 2013
Proceedings of the COLT 2013, 2013
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013
2012
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012
Proceedings of the 2012 Symposium on Machine Learning in Speech and Language Processing, 2012
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2012
Proceedings of the 29th International Conference on Machine Learning, 2012
Proceedings of the Algorithmic Learning Theory  23rd International Conference, 2012
Proceedings of the TwentySixth AAAI Conference on Artificial Intelligence, 2012
2011
Proceedings of the IJCAI 2011, 2011
Proceedings of the 28th International Conference on Machine Learning, 2011
Proceedings of the Algorithmic Learning Theory  22nd International Conference, 2011
2010
Mach. Learn., 2010
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 69 December 2010, 2010
Proceedings of the 26th International Conference on Data Engineering, 2010
Proceedings of the COLT 2010, 2010
2009
Proc. VLDB Endow., 2009
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009
Proceedings of the UAI 2009, 2009
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009
RTTS: towards enterpriselevel realtime speech transcription and translation services.
Proceedings of the INTERSPEECH 2009, 2009
Proceedings of the COLT 2009, 2009
2008
Mach. Learn., 2008
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
Does Unlabeled Data Provably Help? Worstcase Analysis of the Sample Complexity of SemiSupervised Learning.
Proceedings of the 21st Annual Conference on Learning Theory, 2008
Proceedings of the 21st Annual Conference on Learning Theory, 2008
2007
Theor. Comput. Sci., 2007
A framework for statistical clustering with constant time approximation algorithms for <i>K</i>median and <i>K</i>means clustering.
Mach. Learn., 2007
Proceedings of the Learning Theory, 20th Annual Conference on Learning Theory, 2007
2006
IEEE Trans. Signal Process., 2006
Estimation of the number of operating sensors in largescale sensor networks with mobile access.
IEEE Trans. Signal Process., 2006
Alternative Measures of Computational Complexity with Applications to Agnostic Learning.
Proceedings of the Theory and Applications of Models of Computation, 2006
Proceedings of the Advances in Neural Information Processing Systems 19, 2006
Proceedings of the Learning Theory, 19th Annual Conference on Learning Theory, 2006
Proceedings of the Learning Theory, 19th Annual Conference on Learning Theory, 2006
2005
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005
2004
Proceedings of the (e)Proceedings of the Thirtieth International Conference on Very Large Data Bases, VLDB 2004, Toronto, Canada, August 31, 2004
A Framework for Statistical Clustering with a Constant Time Approximation Algorithms for KMedian Clustering.
Proceedings of the Learning Theory, 17th Annual Conference on Learning Theory, 2004
2003
J. Comput. Syst. Sci., 2003
Proceedings of the Computational Learning Theory and Kernel Machines, 2003
2002
Theor. Comput. Sci., 2002
J. Mach. Learn. Res., 2002
J. Comput. Syst. Sci., 2002
Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002
2001
Proceedings of the Computational Learning Theory, 2001
2000
Mach. Learn., 2000
J. Complex., 2000
Comb. Probab. Comput., 2000
Artif. Intell., 2000
Proceedings of the Advances in Neural Information Processing Systems 13, 2000
Localized Boosting.
Proceedings of the Thirteenth Annual Conference on Computational Learning Theory (COLT 2000), June 28, 2000
1999
J. Math. Imaging Vis., 1999
1998
Mach. Learn., 1998
SelfDirected Learning and Its Relation to the VCDimension and to TeacherDirected Learning.
Mach. Learn., 1998
J. Comput. Syst. Sci., 1998
On the Existence of Propositional Proof Systems and Oraclerelativized Propositional Logic.
Electron. Colloquium Comput. Complex., 1998
Combinatorial Variability of Vapnikchervonenkis Classes with Applications to Sample Compression Schemes.
Discret. Appl. Math., 1998
Algorithmica, 1998
1997
Mach. Learn., 1997
Learning Distributions by Their Density Levels: A Paradigm for Learning without a Teacher.
J. Comput. Syst. Sci., 1997
J. ACM, 1997
1996
A Composition Theorem for Learning Algorithms with Applications to Geometric Concept Classes
Electron. Colloquium Comput. Complex., 1996
1995
Inf. Comput., July, 1995
Inf. Comput., March, 1995
J. Comput. Syst. Sci., 1995
Proceedings of the Eigth Annual Conference on Computational Learning Theory, 1995
Proceedings of the Eigth Annual Conference on Computational Learning Theory, 1995
1994
Algorithmica, 1994
Algorithmica, 1994
Proceedings of the Computer Vision, 1994
Proceedings of the Ninth Annual Structure in Complexity Theory Conference, Amsterdam, The Netherlands, June 28, 1994
Proceedings of the Algorithmic Learning Theory, 1994
Applying VCDimension Analysis To 3D Object Recognition from Perspective Projections.
Proceedings of the 12th National Conference on Artificial Intelligence, Seattle, WA, USA, July 31, 1994
1993
Proceedings of the Sixth Annual ACM Conference on Computational Learning Theory, 1993
1992
J. Comput. Syst. Sci., 1992
Proceedings of the 24th Annual ACM Symposium on Theory of Computing, 1992
Characterizations of Learnability for Classes of {<i>O, ..., n</i>}Valued Functions.
Proceedings of the Fifth Annual ACM Conference on Computational Learning Theory, 1992
1991
On the Limitation of the Global Time Assumption in Distributed Systems (Extended Abstract).
Proceedings of the Distributed Algorithms, 5th International Workshop, 1991
1990
Proceedings of the 22nd Annual ACM Symposium on Theory of Computing, 1990
1989
Proceedings of the Second Annual Workshop on Computational Learning Theory, 1989
Proceedings of the Proceedings: Fourth Annual Structure in Complexity Theory Conference, 1989
1988
Proceedings of the Seventh Annual ACM Symposium on Principles of Distributed Computing, 1988
1986
J. Symb. Log., 1986
Ann. Pure Appl. Log., 1986