Geoff Gordon
Geoff Gordon
Professor of Machine Learning, Carnegie Mellon University
Verified email at cs.cmu.edu - Homepage
Title
Cited by
Cited by
Year
Point-based value iteration: An anytime algorithm for POMDPs
J Pineau, G Gordon, S Thrun
IJCAI 3, 1025-1032, 2003
11772003
Finding approximate POMDP solutions through belief compression
N Roy, G Gordon, S Thrun
Journal of artificial intelligence research 23, 1-40, 2005
3712005
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
2612006
Anytime search in dynamic graphs
M Likhachev, D Ferguson, G Gordon, A Stentz, S Thrun
Artificial Intelligence 172 (14), 1613-1643, 2008
2552008
Automatic database management system tuning through large-scale machine learning.
DV Aken, A Pavlo, GJ Gordon, B Zhang.
SIGMOD, 2017
2402017
Real-time fault diagnosis [robot fault diagnosis]
V Verma, G Gordon, R Simmons, S Thrun
IEEE Robotics & Automation Magazine 11 (2), 56-66, 2004
2322004
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
2252011
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
2212004
Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction.
W Sun, A Venkatraman, G Gordon, B Boots, D Bagnell.
ICML, 2017
1372017
Learning low dimensional predictive representations
M Rosencrantz, G Gordon, S Thrun
Proceedings of the twenty-first international conference on Machine learning, 88, 2004
1212004
Deeparchitect: Automatically designing and training deep architectures
R Negrinho, G Gordon
arXiv preprint 2 (arXiv:1704.08792), 2017
1182017
DeepArchitect: Automatically designing and training deep architectures
R Negrinho, G Gordon
arXiv preprint arXiv:1704.08792, 2017
1122017
Adversarial Multiple Source Domain Adaptation
H Zhao, S Zhang, G Wu, JMF Moura, JP Costeira, G Gordon
NeurIPS, 2018
1072018
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
1032005
Tractable particle filters for robot fault diagnosis
V Verma
Stanford University, 2004
922004
Policy-contingent abstraction for robust robot control
J Pineau, G Gordon, S Thrun
arXiv preprint arXiv:1212.2495, 2012
852012
On learning invariant representations for domain adaptation.
H Zhao, R Tachet des Combes, K Zhang, G Gordon
ICML, 2019
842019
Query-based workload forecasting for self-driving database management systems.
L Ma, DV Aken, A Hefny, G Mezerhane, A Pavlo, GJ Gordon
SIGMOD, 2018
782018
Constant size descriptors for accurate machine learning models of molecular properties
CR Collins, GJ Gordon, OA von Lilienfeld, DJ Yaron
Journal of Chemical Physics 148 (241718), 2018
642018
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
542019
The system can't perform the operation now. Try again later.
Articles 1–20