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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
8612010
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
6712018
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
6562019
Autonomous helicopter control using reinforcement learning policy search methods
JA Bagnell, JG Schneider
Proceedings 2001 ICRA. IEEE International Conference on Robotics and …, 2001
4292001
High dimensional Bayesian optimisation and bandits via additive models
K Kandasamy, J Schneider, B Póczos
International conference on machine learning, 295-304, 2015
4042015
Distributed value functions
J Schneider, WK Wong, A Moore, M Riedmiller
Carnegie Mellon University, 1999
3901999
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
2992009
Detecting anomalous records in categorical datasets
K Das, J Schneider
Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007
2702007
Parallelised Bayesian optimisation via Thompson sampling
K Kandasamy, A Krishnamurthy, J Schneider, B Póczos
International conference on artificial intelligence and statistics, 133-142, 2018
2682018
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
2572004
Equivariance through parameter-sharing
S Ravanbakhsh, J Schneider, B Poczos
International conference on machine learning, 2892-2901, 2017
2492017
Multi-fidelity bayesian optimisation with continuous approximations
K Kandasamy, G Dasarathy, J Schneider, B Póczos
International conference on machine learning, 1799-1808, 2017
2462017
Policy search by dynamic programming
J Bagnell, SM Kakade, J Schneider, A Ng
Advances in neural information processing systems 16, 2003
2412003
Covariant policy search
JA Bagnell, J Schneider
Carnegie Mellon University, 2003
2312003
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
2202020
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
2152001
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
2142020
Deep learning with sets and point clouds
S Ravanbakhsh, J Schneider, B Poczos
arXiv preprint arXiv:1611.04500, 2016
2122016
On the error of random Fourier features
DJ Sutherland, J Schneider
arXiv preprint arXiv:1506.02785, 2015
2102015
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
1892016
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