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Jeff Schneider
Jeff Schneider
Carnegie Mellon University
Verifierad e-postadress på cs.cmu.edu - Startsida
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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
8982010
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
7792019
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
7482018
High dimensional Bayesian optimisation and bandits via additive models
K Kandasamy, J Schneider, B Póczos
International conference on machine learning, 295-304, 2015
4512015
Autonomous helicopter control using reinforcement learning policy search methods
JA Bagnell, JG Schneider
Proceedings 2001 ICRA. IEEE International Conference on Robotics and …, 2001
4392001
Distributed value functions
J Schneider, WK Wong, A Moore, M Riedmiller
Carnegie Mellon University, 1999
4081999
Parallelised Bayesian optimisation via Thompson sampling
K Kandasamy, A Krishnamurthy, J Schneider, B Póczos
International conference on artificial intelligence and statistics, 133-142, 2018
3092018
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
3012009
Equivariance through parameter-sharing
S Ravanbakhsh, J Schneider, B Poczos
International conference on machine learning, 2892-2901, 2017
2942017
Detecting anomalous records in categorical datasets
K Das, J Schneider
Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007
2762007
Multi-fidelity bayesian optimisation with continuous approximations
K Kandasamy, G Dasarathy, J Schneider, B Póczos
International conference on machine learning, 1799-1808, 2017
2722017
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
2632004
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
2592020
Policy search by dynamic programming
J Bagnell, SM Kakade, J Schneider, A Ng
Advances in neural information processing systems 16, 2003
2522003
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
2442020
Covariant policy search
JA Bagnell, J Schneider
Carnegie Mellon University, 2003
2382003
On the error of random Fourier features
DJ Sutherland, J Schneider
arXiv preprint arXiv:1506.02785, 2015
2352015
Deep learning with sets and point clouds
S Ravanbakhsh, J Schneider, B Poczos
arXiv preprint arXiv:1611.04500, 2016
2212016
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
2152001
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
2102016
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Artiklar 1–20