Stebėti
Jeff Schneider
Jeff Schneider
Patvirtintas el. paštas cs.cmu.edu - Pagrindinis puslapis
Pavadinimas
Cituota
Cituota
Metai
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
8512010
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
6512018
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
6012019
Distributed value functions
J Schneider, WK Wong, A Moore, M Riedmiller
Carnegie Mellon University, 1999
4371999
Autonomous helicopter control using reinforcement learning policy search methods
JA Bagnell, JG Schneider
Proceedings 2001 ICRA. IEEE International Conference on Robotics and …, 2001
4272001
High dimensional Bayesian optimisation and bandits via additive models
K Kandasamy, J Schneider, B Póczos
International conference on machine learning, 295-304, 2015
3812015
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
2982009
Detecting anomalous records in categorical datasets
K Das, J Schneider
Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007
2672007
Parallelised Bayesian optimisation via Thompson sampling
K Kandasamy, A Krishnamurthy, J Schneider, B Póczos
International conference on artificial intelligence and statistics, 133-142, 2018
2542018
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
2532004
Multi-fidelity bayesian optimisation with continuous approximations
K Kandasamy, G Dasarathy, J Schneider, B Póczos
International conference on machine learning, 1799-1808, 2017
2362017
Equivariance through parameter-sharing
S Ravanbakhsh, J Schneider, B Poczos
International conference on machine learning, 2892-2901, 2017
2332017
Policy search by dynamic programming
J Bagnell, SM Kakade, J Schneider, A Ng
Advances in neural information processing systems 16, 2003
2322003
Covariant policy search
JA Bagnell, J Schneider
Carnegie Mellon University, 2003
2262003
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
2142001
Deep learning with sets and point clouds
S Ravanbakhsh, J Schneider, B Poczos
arXiv preprint arXiv:1611.04500, 2016
2082016
On the error of random Fourier features
DJ Sutherland, J Schneider
arXiv preprint arXiv:1506.02785, 2015
2082015
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
2072020
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
2032020
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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Straipsniai 1–20