Jeff Schneider

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Andrew MooreDean, School of Computer Science, Carnegie MellonE-mail confirmado em cs.cmu.edu
Willie NeiswangerAssistant Professor of Computer Science, University of Southern CaliforniaE-mail confirmado em cs.stanford.edu
Kirthevasan KandasamyUniversity of Wisconsin-MadisonE-mail confirmado em cs.wisc.edu
Tzu-Kuo HuangResearch Scientist, Google DeepMindE-mail confirmado em google.com
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UE-mail confirmado em cs.cmu.edu
Junier OlivaAssociate Professor, University of North CarolinaE-mail confirmado em cs.unc.edu
Larry WassermanProfessor, Department of Statistics and Machine Learning Department, Carnegie Mellon UniversityE-mail confirmado em stat.cmu.edu
Roman GarnettWashington University in St. LouisE-mail confirmado em wustl.edu
Danica J. SutherlandUniversity of British Columbia + AmiiE-mail confirmado em cs.ubc.ca
J. Andrew BagnellCarnegie Mellon UniversityE-mail confirmado em ri.cmu.edu
Howie ChosetProfessor of Robotics, Carnegie MellonE-mail confirmado em cs.cmu.edu
Christopher J. MillerProfessor of Astronomy, University of MichiganE-mail confirmado em umich.edu
Kaustav DasOSD Microsoft E-mail confirmado em microsoft.com
Hy TracAssociate Professor, Department of Physics, McWilliams Center for Cosmology, Carnegie MellonE-mail confirmado em andrew.cmu.edu
Shirley HoFlatiron Institute, Center for Computational AstrophysicsE-mail confirmado em flatironinstitute.org
Matthew A. TeschRobotics Institute, Carnegie Mellon UniversityE-mail confirmado em cmu.edu
Xuezhi WangResearch Scientist, Google DeepMindE-mail confirmado em google.com
Yifei MaApplied Scientist, Amazon.ComE-mail confirmado em amazon.com
Geoff GordonProfessor of Machine Learning, Carnegie Mellon UniversityE-mail confirmado em cs.cmu.edu
Xi ChenProfessor at New York UniversityE-mail confirmado em nyu.edu

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Jeff Schneider

Carnegie Mellon University

E-mail confirmado em cs.cmu.edu - Página inicial

Machine Learning


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
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	887	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	731	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	722	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	430	2015
Distributed value functions J Schneider, WK Wong, A Moore, M Riedmiller Carnegie Mellon University, 1999	400	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	299	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	295	2018
Detecting anomalous records in categorical datasets K Das, J Schneider Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007	275	2007
Equivariance through parameter-sharing S Ravanbakhsh, J Schneider, B Poczos International conference on machine learning, 2892-2901, 2017	274	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	262	2004
Multi-fidelity bayesian optimisation with continuous approximations K Kandasamy, G Dasarathy, J Schneider, B Póczos International conference on machine learning, 1799-1808, 2017	257	2017
Policy search by dynamic programming J Bagnell, SM Kakade, J Schneider, A Ng Advances in neural information processing systems 16, 2003	246	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	242	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	228	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	216	2001
Deep learning with sets and point clouds S Ravanbakhsh, J Schneider, B Poczos arXiv preprint arXiv:1611.04500, 2016	214	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	201	2016

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