Geoff Gordon
Geoff Gordon
Professor of Machine Learning, Carnegie Mellon University
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Point-based value iteration: An anytime algorithm for POMDPs
J Pineau, G Gordon, S Thrun
IJCAI 3, 1025-1032, 2003
Finding approximate POMDP solutions through belief compression
N Roy, G Gordon, S Thrun
Journal of artificial intelligence research 23, 1-40, 2005
Automatic database management system tuning through large-scale machine learning.
DV Aken, A Pavlo, GJ Gordon, B Zhang.
SIGMOD, 2017
Anytime search in dynamic graphs
M Likhachev, D Ferguson, G Gordon, A Stentz, S Thrun
Artificial Intelligence 172 (14), 1613-1643, 2008
Visibility-based pursuit-evasion with limited field of view
BP Gerkey, S Thrun, G Gordon
The International Journal of Robotics Research 25 (4), 299-315, 2006
Closing the learning-planning loop with predictive state representations
B Boots, SM Siddiqi, GJ Gordon.
International Journal of Robotics Research 30 (7), 954–966, 2011
Real-time fault diagnosis [robot fault diagnosis]
V Verma, G Gordon, R Simmons, S Thrun
IEEE Robotics & Automation Magazine 11 (2), 56-66, 2004
Adversarial Multiple Source Domain Adaptation
H Zhao, S Zhang, G Wu, JMF Moura, JP Costeira, G Gordon
NeurIPS, 2018
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
On learning invariant representations for domain adaptation.
H Zhao, R Tachet des Combes, K Zhang, G Gordon
ICML, 2019
Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction.
W Sun, A Venkatraman, G Gordon, B Boots, D Bagnell.
ICML, 2017
Teaching over the web versus in the classroom: Differences in the instructor experience
M Caris, D Ferguson, G Gordon
International Journal of Instructional Media 29 (1), 61-67, 2002
Deeparchitect: Automatically designing and training deep architectures
R Negrinho, G Gordon
arXiv preprint 2 (arXiv:1704.08792), 2017
DeepArchitect: Automatically designing and training deep architectures
R Negrinho, G Gordon
arXiv preprint arXiv:1704.08792, 2017
Learning low dimensional predictive representations
M Rosencrantz, G Gordon, S Thrun
Proceedings of the twenty-first international conference on Machine learning, 88, 2004
Query-based workload forecasting for self-driving database management systems.
L Ma, DV Aken, A Hefny, G Mezerhane, A Pavlo, GJ Gordon
SIGMOD, 2018
An Empirical Study of Example Forgetting during Deep Neural Network Learning
M Toneva, A Sordoni, R Tachet des Combes, A Trischler, Y Bengio, ...
ICLR, 2019
Game theoretic control for robot teams
R Emery-Montemerlo, G Gordon, J Schneider, S Thrun
Proceedings of the 2005 IEEE International Conference on Robotics and …, 2005
Tractable particle filters for robot fault diagnosis
V Verma
Carnegie Mellon University, 2005
Policy-contingent abstraction for robust robot control
J Pineau, G Gordon, S Thrun
arXiv preprint arXiv:1212.2495, 2012
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