Rocco Anthony Servedio

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	总计	2020 年至今
引用	8517	3027
h 指数	52	28
i10 指数	132	87

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Ryan O'DonnellProfessor, Computer Science Department, Carnegie Mellon在 cs.cmu.edu 的电子邮件经过验证
Ilias DiakonikolasUniversity of Wisconsin-Madison在 wisc.edu 的电子邮件经过验证
Li-Yang TanStanford University在 cs.stanford.edu 的电子邮件经过验证
Adam KlivansProfessor of Computer Science, University of Texas at Austin在 cs.utexas.edu 的电子邮件经过验证
Xi ChenColumbia University在 cs.columbia.edu 的电子邮件经过验证
Anindya DeUniversity of Pennsylvania在 seas.upenn.edu 的电子邮件经过验证
Andrew WanSnap在 cs.columbia.edu 的电子邮件经过验证
Jon FeldmanResearcher, Google在 google.com 的电子邮件经过验证
Homin K. LeeDatadog在 columbia.edu 的电子邮件经过验证
Parikshit GopalanApple在 apple.com 的电子邮件经过验证
Tal MalkinProfessor of Computer Science, Columbia University在 columbia.edu 的电子邮件经过验证
Constantinos DaskalakisProfessor of Computer Science, MIT在 csail.mit.edu 的电子邮件经过验证
Jeffrey C. JacksonProfessor of Computer Science, Duquesne University在 duq.edu 的电子邮件经过验证
Kevin MatulefMIT, Tsinghua, Aarhus在 mit.edu 的电子邮件经过验证
Ronitt RubinfeldProfessor of Computer Science, MIT and Tel Aviv University在 csail.mit.edu 的电子邮件经过验证
Emanuele ViolaProfessor of Computer Science, Northeastern University在 ccs.neu.edu 的电子邮件经过验证
Shivam NadimpalliMassachusetts Institute of Technology在 mit.edu 的电子邮件经过验证
Elchanan MosselProfessor of Mathematics, MIT在 mit.edu 的电子邮件经过验证
Roni KhardonProfessor of Computer Science, Indiana University, Bloomington在 iu.edu 的电子邮件经过验证
Clément L. CanonneUniversity of Sydney在 sydney.edu.au 的电子邮件经过验证

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Rocco Anthony Servedio

Department of Computer Science, Columbia University

在 columbia.edu 的电子邮件经过验证 - 首页

Theoretical computer science computational learning theory computational complexity theory machine learning


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Random classification noise defeats all convex potential boosters PM Long, RA Servedio Proceedings of the 25th international conference on Machine learning, 608-615, 2008	364	2008
Agnostically learning halfspaces AT Kalai, AR Klivans, Y Mansour, RA Servedio SIAM Journal on Computing 37 (6), 1777-1805, 2008	362	2008
Learning functions of k relevant variables E Mossel, R O'Donnell, RA Servedio Journal of Computer and System Sciences 69 (3), 421-434, 2004	295*	2004
Learning DNF in time AR Klivans, R Servedio Proceedings of the thirty-third annual ACM symposium on Theory of computing …, 2001	259	2001
Smooth boosting and learning with malicious noise RA Servedio The Journal of Machine Learning Research 4, 633-648, 2003	248	2003
On the capacity of secure network coding J Feldman, T Malkin, C Stein, RA Servedio Proc. 42nd Annual Allerton Conference on Communication, Control, and …, 2004	234	2004
Learning intersections and thresholds of halfspaces AR Klivans, R O'Donnell, RA Servedio Journal of Computer and System Sciences 68 (4), 808-840, 2004	232	2004
Bounded independence fools halfspaces I Diakonikolas, P Gopalan, R Jaiswal, RA Servedio, E Viola SIAM Journal on Computing 39 (8), 3441-3462, 2010	164	2010
Every decision tree has an influential variable R O'Donnell, M Saks, O Schramm, RA Servedio 46th annual IEEE symposium on foundations of computer science (FOCS'05), 31-39, 2005	163	2005
Equivalences and separations between quantum and classical learnability RA Servedio, SJ Gortler SIAM Journal on Computing 33 (5), 1067-1092, 2004	147	2004
Learning poisson binomial distributions C Daskalakis, I Diakonikolas, RA Servedio Proceedings of the forty-fourth annual ACM symposium on Theory of computing …, 2012	145	2012
Learning monotone decision trees in polynomial time R O'Donnell, RA Servedio SIAM Journal on Computing 37 (3), 827-844, 2007	139	2007
Efficient density estimation via piecewise polynomial approximation SO Chan, I Diakonikolas, RA Servedio, X Sun Proceedings of the forty-sixth annual ACM symposium on Theory of computing …, 2014	135	2014
Learning geometric concepts via Gaussian surface area AR Klivans, R O'Donnell, RA Servedio 2008 49th Annual IEEE Symposium on Foundations of Computer Science, 541-550, 2008	134	2008
Learning mixtures of product distributions over discrete domains J Feldman, R O'Donnell, RA Servedio SIAM Journal on Computing 37 (5), 1536-1564, 2008	132	2008
Learning Halfspaces with Malicious Noise. AR Klivans, PM Long, RA Servedio Journal of Machine Learning Research 10 (12), 2009	131	2009
LP decoding corrects a constant fraction of errors J Feldman, T Malkin, RA Servedio, C Stein, MJ Wainwright IEEE Transactions on Information Theory 53 (1), 82-89, 2006	130	2006
Testing halfspaces K Matulef, R O'Donnell, R Rubinfeld, RA Servedio SIAM Journal on Computing 39 (5), 2004-2047, 2010	124	2010
Testing for concise representations I Diakonikolas, HK Lee, K Matulef, K Onak, R Rubinfeld, RA Servedio, ... 48th Annual IEEE Symposium on Foundations of Computer Science (FOCS'07), 549-558, 2007	122	2007
Testing Fourier dimensionality and sparsity P Gopalan, R O'Donnell, RA Servedio, A Shpilka, K Wimmer SIAM Journal on Computing 40 (4), 1075-1100, 2011	120	2011

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