Jeff Schneider

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Andrew MooreDean, School of Computer Science, Carnegie MellonDirección de correo verificada de cs.cmu.edu
Willie NeiswangerAssistant Professor of Computer Science, University of Southern CaliforniaDirección de correo verificada de cs.stanford.edu
Kirthevasan KandasamyUniversity of Wisconsin-MadisonDirección de correo verificada de cs.wisc.edu
Tzu-Kuo HuangResearch Scientist, Google DeepMindDirección de correo verificada de google.com
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UDirección de correo verificada de cs.cmu.edu
Junier OlivaAssociate Professor, University of North CarolinaDirección de correo verificada de cs.unc.edu
Larry WassermanProfessor, Department of Statistics and Machine Learning Department, Carnegie Mellon UniversityDirección de correo verificada de stat.cmu.edu
Roman GarnettWashington University in St. LouisDirección de correo verificada de wustl.edu
Danica J. SutherlandUniversity of British Columbia + AmiiDirección de correo verificada de cs.ubc.ca
J. Andrew BagnellCarnegie Mellon UniversityDirección de correo verificada de ri.cmu.edu
Howie ChosetProfessor of Robotics, Carnegie MellonDirección de correo verificada de cs.cmu.edu
Christopher J. MillerProfessor of Astronomy, University of MichiganDirección de correo verificada de umich.edu
Kaustav DasOSD Microsoft Dirección de correo verificada de microsoft.com
Hy TracAssociate Professor, Department of Physics, McWilliams Center for Cosmology, Carnegie MellonDirección de correo verificada de andrew.cmu.edu
Shirley HoFlatiron Institute, Center for Computational AstrophysicsDirección de correo verificada de flatironinstitute.org
Matthew A. TeschRobotics Institute, Carnegie Mellon UniversityDirección de correo verificada de cmu.edu
Xuezhi WangResearch Scientist, Google DeepMindDirección de correo verificada de google.com
Yifei MaApplied Scientist, Amazon.ComDirección de correo verificada de amazon.com
Geoff GordonProfessor of Machine Learning, Carnegie Mellon UniversityDirección de correo verificada de cs.cmu.edu
Xi ChenProfessor at New York UniversityDirección de correo verificada de nyu.edu

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Jeff Schneider

Carnegie Mellon University

Dirección de correo verificada de cs.cmu.edu - Página principal

Machine Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	888	2010
Multimodal trajectory predictions for autonomous driving using deep convolutional networks H Cui, V Radosavljevic, FC Chou, TH Lin, T Nguyen, TK Huang, ... 2019 international conference on robotics and automation (icra), 2090-2096, 2019	742	2019
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 31, 2018	724	2018
Autonomous helicopter control using reinforcement learning policy search methods JA Bagnell, JG Schneider Proceedings 2001 ICRA. IEEE International Conference on Robotics and …, 2001	437	2001
High dimensional Bayesian optimisation and bandits via additive models K Kandasamy, J Schneider, B Póczos International conference on machine learning, 295-304, 2015	432	2015
Distributed value functions J Schneider, WK Wong, A Moore, M Riedmiller Carnegie Mellon University, 1999	402	1999
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	300	2009
Parallelised Bayesian optimisation via Thompson sampling K Kandasamy, A Krishnamurthy, J Schneider, B Póczos International conference on artificial intelligence and statistics, 133-142, 2018	297	2018
Detecting anomalous records in categorical datasets K Das, J Schneider Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007	276	2007
Equivariance through parameter-sharing S Ravanbakhsh, J Schneider, B Poczos International conference on machine learning, 2892-2901, 2017	275	2017
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	263	2004
Multi-fidelity bayesian optimisation with continuous approximations K Kandasamy, G Dasarathy, J Schneider, B Póczos International conference on machine learning, 1799-1808, 2017	259	2017
Policy search by dynamic programming J Bagnell, SM Kakade, J Schneider, A Ng Advances in neural information processing systems 16, 2003	247	2003
Uncertainty-aware short-term motion prediction of traffic actors for autonomous driving N Djuric, V Radosavljevic, H Cui, T Nguyen, FC Chou, TH Lin, N Singh, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020	246	2020
Covariant policy search JA Bagnell, J Schneider Carnegie Mellon University, 2003	234	2003
Tuning hyperparameters without grad students: Scalable and robust bayesian optimisation with dragonfly K Kandasamy, KR Vysyaraju, W Neiswanger, B Paria, CR Collins, ... Journal of Machine Learning Research 21 (81), 1-27, 2020	231	2020
On the error of random Fourier features DJ Sutherland, J Schneider arXiv preprint arXiv:1506.02785, 2015	223	2015
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	217	2001
Deep learning with sets and point clouds S Ravanbakhsh, J Schneider, B Poczos arXiv preprint arXiv:1611.04500, 2016	216	2016
Gaussian process bandit optimisation with multi-fidelity evaluations K Kandasamy, G Dasarathy, JB Oliva, J Schneider, B Póczos Advances in neural information processing systems 29, 2016	203	2016

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