Jeff Schneider

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	All	Since 2016
Citations	8985	4882
h-index	52	40
i10-index	133	95

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Andrew MooreDean, School of Computer Science, Carnegie MellonVerified email at cs.cmu.edu
Kirthevasan KandasamyUniversity of California, BerkeleyVerified email at cs.cmu.edu
Tzu-Kuo HuangResearch Scientist, Google BrainVerified email at google.com
Junier OlivaAssistant Professor, University of North CarolinaVerified email at cs.unc.edu
Larry WassermanProfessor, Department of Statistics and Machine Learning Department, Carnegie Mellon UniversityVerified email at stat.cmu.edu
Willie NeiswangerPostdoc, Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Eric XingProfessor of Machine Learning, Language Technology, Computer Science, Cargenie Mellon UniversityVerified email at cs.cmu.edu
Roman GarnettWashington University in St. LouisVerified email at wustl.edu
Christopher J. MillerAssociate Professor of Astronomy, University of MichiganVerified email at umich.edu
J. Andrew BagnellCarnegie Mellon UniversityVerified email at ri.cmu.edu
Danica J. SutherlandUniversity of British ColumbiaVerified email at cs.ubc.ca
Kaustav DasOSD Microsoft Verified email at microsoft.com
Howie ChosetProfessor of Robotics, Carnegie MellonVerified email at cs.cmu.edu
Matthew A. TeschRobotics Institute, Carnegie Mellon UniversityVerified email at cmu.edu
Hy TracAssociate Professor, Department of Physics, McWilliams Center for Cosmology, Carnegie MellonVerified email at andrew.cmu.edu
Shirley HoFlatiron Institute, Center for Computational AstrophysicsVerified email at flatironinstitute.org
Yifei MaApplied Scientist, Amazon.ComVerified email at amazon.com
Xi ChenProfessor at New York UniversityVerified email at nyu.edu
Michelle NtampakaSpace Telescope Science InstituteVerified email at stsci.edu
Geoff GordonProfessor of Machine Learning, Carnegie Mellon UniversityVerified email at cs.cmu.edu

Jeff Schneider

Carnegie Mellon University

Verified email at cs.cmu.edu - Homepage

Machine Learning


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Temporal collaborative filtering with bayesian probabilistic tensor factorization L Xiong, X Chen, TK Huang, J Schneider, JG Carbonell Proceedings of the 2010 SIAM international conference on data mining, 211-222, 2010	636	2010
Autonomous helicopter control using reinforcement learning policy search methods JA Bagnell, JG Schneider Proceedings 2001 ICRA. IEEE International Conference on Robotics and …, 2001	359	2001
Efficiently learning the accuracy of labeling sources for selective sampling P Donmez, JG Carbonell, J Schneider Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009	255	2009
Detecting anomalous records in categorical datasets K Das, J Schneider Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007	230	2007
Approximate solutions for partially observable stochastic games with common payoffs R Emery-Montemerlo, G Gordon, J Schneider, S Thrun Proceedings of the Third International Joint Conference on Autonomous Agents …, 2004	223	2004
Neural architecture search with bayesian optimisation and optimal transport K Kandasamy, W Neiswanger, J Schneider, B Poczos, EP Xing Advances in neural information processing systems, 2016-2025, 2018	217	2018
Distributed value functions J Schneider, WK Wong, A Moore, M Riedmiller Carnegie Mellon University, 1999	208	1999
Covariant policy search JA Bagnell, J Schneider Carnegie Mellon University, 2003	196	2003
Policy search by dynamic programming JA Bagnell, SM Kakade, JG Schneider, AY Ng Advances in neural information processing systems, 831-838, 2004	194	2004
Controlling the false-discovery rate in astrophysical data analysis CJ Miller, C Genovese, RC Nichol, L Wasserman, A Connolly, D Reichart, ... The Astronomical Journal 122 (6), 3492, 2001	194	2001
High dimensional Bayesian optimisation and bandits via additive models K Kandasamy, J Schneider, B Póczos International conference on machine learning, 295-304, 2015	176	2015
Multi-label output codes using canonical correlation analysis Y Zhang, J Schneider Proceedings of the fourteenth international conference on artificial …, 2011	149	2011
AAM derived face representations for robust facial action recognition S Lucey, I Matthews, C Hu, Z Ambadar, F De la Torre, J Cohn 7th International Conference on Automatic Face and Gesture Recognition …, 2006	137	2006
Automatic construction of active appearance models as an image coding problem S Baker, I Matthews, J Schneider IEEE Transactions on Pattern Analysis and Machine Intelligence 26 (10), 1380 …, 2004	132	2004
Anomaly pattern detection in categorical datasets K Das, J Schneider, DB Neill Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008	130	2008
Learning multiple tasks with a sparse matrix-normal penalty Y Zhang, JG Schneider Advances in neural information processing systems, 2550-2558, 2010	123	2010
Strategies for the use of mixture-based synthetic combinatorial libraries: scaffold ranking, direct testing in vivo, and enhanced deconvolution by computational methods RA Houghten, C Pinilla, MA Giulianotti, JR Appel, CT Dooley, A Nefzi, ... Journal of combinatorial chemistry 10 (1), 3-19, 2008	123	2008
Cross validation J Schneider A Locally Weighted Learning Tutorial Using Vizier 1, 1997	115	1997
Deep learning with sets and point clouds S Ravanbakhsh, J Schneider, B Poczos arXiv preprint arXiv:1611.04500, 2016	114	2016
On the error of random fourier features DJ Sutherland, J Schneider arXiv preprint arXiv:1506.02785, 2015	110	2015

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