Jeff Schneider
Jeff Schneider
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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
Autonomous helicopter control using reinforcement learning policy search methods
JA Bagnell, JG Schneider
Proceedings 2001 ICRA. IEEE International Conference on Robotics and …, 2001
Neural architecture search with bayesian optimisation and optimal transport
K Kandasamy, W Neiswanger, J Schneider, B Poczos, E Xing
arXiv preprint arXiv:1802.07191, 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
Detecting anomalous records in categorical datasets
K Das, J Schneider
Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 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
High dimensional Bayesian optimisation and bandits via additive models
K Kandasamy, J Schneider, B Póczos
International conference on machine learning, 295-304, 2015
Distributed value functions
J Schneider, WK Wong, A Moore, M Riedmiller
Carnegie Mellon University, 1999
Covariant policy search
JA Bagnell, J Schneider
Carnegie Mellon University, 2003
Policy search by dynamic programming
JA Bagnell, S Kakade, AY Ng, JG Schneider
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
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
Multi-label output codes using canonical correlation analysis
Y Zhang, J Schneider
Proceedings of the fourteenth international conference on artificial …, 2011
Deep learning with sets and point clouds
S Ravanbakhsh, J Schneider, B Poczos
arXiv preprint arXiv:1611.04500, 2016
On the error of random Fourier features
DJ Sutherland, J Schneider
arXiv preprint arXiv:1506.02785, 2015
Anomaly pattern detection in categorical datasets
K Das, J Schneider, DB Neill
Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008
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
Learning multiple tasks with a sparse matrix-normal penalty.
Y Zhang, JG Schneider
NIPS 6, 2, 2010
Multi-fidelity bayesian optimisation with continuous approximations
K Kandasamy, G Dasarathy, J Schneider, B Póczos
International Conference on Machine Learning, 1799-1808, 2017
Cross validation
J Schneider
A Locally Weighted Learning Tutorial Using Vizier 1, 1997
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