Jeff Schneider

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	总计	2019 年至今
引用	15540	9069
h 指数	67	51
i10 指数	167	119

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Andrew MooreDean, School of Computer Science, Carnegie Mellon在 cs.cmu.edu 的电子邮件经过验证
Willie NeiswangerAssistant Professor of Computer Science, University of Southern California在 cs.stanford.edu 的电子邮件经过验证
Kirthevasan KandasamyUniversity of Wisconsin-Madison在 cs.wisc.edu 的电子邮件经过验证
Tzu-Kuo HuangResearch Scientist, Google DeepMind在 google.com 的电子邮件经过验证
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon U在 cs.cmu.edu 的电子邮件经过验证
Junier OlivaAssociate Professor, University of North Carolina在 cs.unc.edu 的电子邮件经过验证
Larry WassermanProfessor, Department of Statistics and Machine Learning Department, Carnegie Mellon University在 stat.cmu.edu 的电子邮件经过验证
Roman GarnettWashington University in St. Louis在 wustl.edu 的电子邮件经过验证
Danica J. SutherlandUniversity of British Columbia + Amii在 cs.ubc.ca 的电子邮件经过验证
J. Andrew BagnellCarnegie Mellon University在 ri.cmu.edu 的电子邮件经过验证
Howie ChosetProfessor of Robotics, Carnegie Mellon在 cs.cmu.edu 的电子邮件经过验证
Christopher J. MillerProfessor of Astronomy, University of Michigan在 umich.edu 的电子邮件经过验证
Kaustav DasOSD Microsoft 在 microsoft.com 的电子邮件经过验证
Hy TracAssociate Professor, Department of Physics, McWilliams Center for Cosmology, Carnegie Mellon在 andrew.cmu.edu 的电子邮件经过验证
Shirley HoFlatiron Institute, Center for Computational Astrophysics在 flatironinstitute.org 的电子邮件经过验证
Matthew A. TeschRobotics Institute, Carnegie Mellon University在 cmu.edu 的电子邮件经过验证
Xuezhi WangResearch Scientist, Google DeepMind在 google.com 的电子邮件经过验证
Yifei MaApplied Scientist, Amazon.Com在 amazon.com 的电子邮件经过验证
Geoff GordonProfessor of Machine Learning, Carnegie Mellon University在 cs.cmu.edu 的电子邮件经过验证
Xi ChenProfessor at New York University在 nyu.edu 的电子邮件经过验证

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Jeff Schneider

Carnegie Mellon University

在 cs.cmu.edu 的电子邮件经过验证 - 首页

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
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	739	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	430	2015
Distributed value functions J Schneider, WK Wong, A Moore, M Riedmiller Carnegie Mellon University, 1999	401	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	296	2018
Equivariance through parameter-sharing S Ravanbakhsh, J Schneider, B Poczos International conference on machine learning, 2892-2901, 2017	275	2017
Detecting anomalous records in categorical datasets K Das, J Schneider Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007	274	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	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	259	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	245	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	230	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	215	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	202	2016

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