Jeff Schneider

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Soavtorji

Andrew MooreDean, School of Computer Science, Carnegie MellonPreverjeni e-poštni naslov na cs.cmu.edu
Willie NeiswangerAssistant Professor of Computer Science, University of Southern CaliforniaPreverjeni e-poštni naslov na cs.stanford.edu
Kirthevasan KandasamyUniversity of Wisconsin-MadisonPreverjeni e-poštni naslov na cs.wisc.edu
Tzu-Kuo HuangResearch Scientist, Google DeepMindPreverjeni e-poštni naslov na google.com
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UPreverjeni e-poštni naslov na cs.cmu.edu
Junier OlivaAssociate Professor, University of North CarolinaPreverjeni e-poštni naslov na cs.unc.edu
Larry WassermanProfessor, Department of Statistics and Machine Learning Department, Carnegie Mellon UniversityPreverjeni e-poštni naslov na stat.cmu.edu
Roman GarnettWashington University in St. LouisPreverjeni e-poštni naslov na wustl.edu
Danica J. SutherlandUniversity of British Columbia + AmiiPreverjeni e-poštni naslov na cs.ubc.ca
J. Andrew BagnellCarnegie Mellon UniversityPreverjeni e-poštni naslov na ri.cmu.edu
Howie ChosetProfessor of Robotics, Carnegie MellonPreverjeni e-poštni naslov na cs.cmu.edu
Christopher J. MillerProfessor of Astronomy, University of MichiganPreverjeni e-poštni naslov na umich.edu
Kaustav DasOSD Microsoft Preverjeni e-poštni naslov na microsoft.com
Hy TracAssociate Professor, Department of Physics, McWilliams Center for Cosmology, Carnegie MellonPreverjeni e-poštni naslov na andrew.cmu.edu
Shirley HoFlatiron Institute, Center for Computational AstrophysicsPreverjeni e-poštni naslov na flatironinstitute.org
Matthew A. TeschRobotics Institute, Carnegie Mellon UniversityPreverjeni e-poštni naslov na cmu.edu
Xuezhi WangResearch Scientist, Google DeepMindPreverjeni e-poštni naslov na google.com
Yifei MaApplied Scientist, Amazon.ComPreverjeni e-poštni naslov na amazon.com
Geoff GordonProfessor of Machine Learning, Carnegie Mellon UniversityPreverjeni e-poštni naslov na cs.cmu.edu
Xi ChenProfessor at New York UniversityPreverjeni e-poštni naslov na nyu.edu

Spremljaj

Jeff Schneider

Carnegie Mellon University

Preverjeni e-poštni naslov na cs.cmu.edu - Domača stran

Machine Learning


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
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	896	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	773	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	743	2018
High dimensional Bayesian optimisation and bandits via additive models K Kandasamy, J Schneider, B Póczos International conference on machine learning, 295-304, 2015	448	2015
Autonomous helicopter control using reinforcement learning policy search methods JA Bagnell, JG Schneider Proceedings 2001 ICRA. IEEE International Conference on Robotics and …, 2001	439	2001
Distributed value functions J Schneider, WK Wong, A Moore, M Riedmiller Carnegie Mellon University, 1999	408	1999
Parallelised Bayesian optimisation via Thompson sampling K Kandasamy, A Krishnamurthy, J Schneider, B Póczos International conference on artificial intelligence and statistics, 133-142, 2018	309	2018
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	301	2009
Equivariance through parameter-sharing S Ravanbakhsh, J Schneider, B Poczos International conference on machine learning, 2892-2901, 2017	292	2017
Detecting anomalous records in categorical datasets K Das, J Schneider Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007	276	2007
Multi-fidelity bayesian optimisation with continuous approximations K Kandasamy, G Dasarathy, J Schneider, B Póczos International conference on machine learning, 1799-1808, 2017	271	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
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	257	2020
Policy search by dynamic programming J Bagnell, SM Kakade, J Schneider, A Ng Advances in neural information processing systems 16, 2003	252	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	243	2020
Covariant policy search JA Bagnell, J Schneider Carnegie Mellon University, 2003	238	2003
On the error of random Fourier features DJ Sutherland, J Schneider arXiv preprint arXiv:1506.02785, 2015	234	2015
Deep learning with sets and point clouds S Ravanbakhsh, J Schneider, B Poczos arXiv preprint arXiv:1611.04500, 2016	221	2016
Controlling the False-Discovery Rate in Astrophysical DataAnalysis CJ Miller, C Genovese, RC Nichol, L Wasserman, A Connolly, D Reichart, ... The Astronomical Journal 122 (6), 3492, 2001	215	2001
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	210	2016

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