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Jeff Schneider
Jeff Schneider
Verified email at cs.cmu.edu - Homepage
Title
Cited by
Cited by
Year
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
8532010
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
6362018
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
5752019
Autonomous helicopter control using reinforcement learning policy search methods
JA Bagnell, JG Schneider
Proceedings 2001 ICRA. IEEE International Conference on Robotics and …, 2001
4272001
Distributed value functions
J Schneider, WK Wong, A Moore, M Riedmiller
Carnegie Mellon University, 1999
4161999
High dimensional Bayesian optimisation and bandits via additive models
K Kandasamy, J Schneider, B Póczos
International conference on machine learning, 295-304, 2015
3692015
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
2952009
Detecting anomalous records in categorical datasets
K Das, J Schneider
Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007
2672007
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
2542004
Parallelised Bayesian optimisation via Thompson sampling
K Kandasamy, A Krishnamurthy, J Schneider, B Póczos
International Conference on Artificial Intelligence and Statistics, 133-142, 2018
2512018
Policy search by dynamic programming
J Bagnell, SM Kakade, J Schneider, A Ng
Advances in neural information processing systems 16, 2003
2332003
Multi-fidelity bayesian optimisation with continuous approximations
K Kandasamy, G Dasarathy, J Schneider, B Póczos
International Conference on Machine Learning, 1799-1808, 2017
2322017
Equivariance through parameter-sharing
S Ravanbakhsh, J Schneider, B Poczos
International conference on machine learning, 2892-2901, 2017
2262017
Covariant policy search
JA Bagnell, J Schneider
Carnegie Mellon University, 2003
2232003
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
2172001
Tuning hyperparameters without grad students: Scalable and robust bayesian optimisation with dragonfly
K Kandasamy, KR Vysyaraju, W Neiswanger, B Paria, CR Collins, ...
The Journal of Machine Learning Research 21 (1), 3098-3124, 2020
2052020
Deep learning with sets and point clouds
S Ravanbakhsh, J Schneider, B Poczos
arXiv preprint arXiv:1611.04500, 2016
2032016
On the error of random Fourier features
DJ Sutherland, J Schneider
arXiv preprint arXiv:1506.02785, 2015
2032015
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
1912020
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
1782016
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