Geoff Gordon
Geoff Gordon
Professor of Machine Learning, Carnegie Mellon University
Verified email at - Homepage
Cited by
Cited by
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning
S Ross, GJ Gordon, JA Bagnell
Proceedings of the 14th International Conference on Artificial Intelligence …, 2011
Point-based value iteration: An anytime algorithm for POMDPs
J Pineau, G Gordon, S Thrun
Ijcai 3, 1025-1032, 2003
Relational learning via collective matrix factorization
AP Singh, GJ Gordon
Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008
ARA*: Anytime A* with provable bounds on sub-optimality
M Likhachev, GJ Gordon, S Thrun
Advances in neural information processing systems 16, 2003
Anytime dynamic A*: An anytime, replanning algorithm.
M Likhachev, DI Ferguson, GJ Gordon, A Stentz, S Thrun
ICAPS 5, 262-271, 2005
Stable function approximation in dynamic programming
GJ Gordon
Proc. Int'l Conf. on Machine Learning (ICML), 261-268, 1995
Automatic database management system tuning through large-scale machine learning.
DV Aken, A Pavlo, GJ Gordon, B Zhang.
SIGMOD, 2017
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
On learning invariant representations for domain adaptation.
H Zhao, R Tachet des Combes, K Zhang, G Gordon
ICML, 2019
Individualized bayesian knowledge tracing models
MV Yudelson, KR Koedinger, GJ Gordon
Artificial Intelligence in Education: 16th International Conference, AIED …, 2013
Adversarial Multiple Source Domain Adaptation
H Zhao, S Zhang, G Wu, JMF Moura, JP Costeira, G Gordon
NeurIPS, 2018
Anytime point-based approximations for large POMDPs
J Pineau, G Gordon, S Thrun
Journal of Artificial Intelligence Research 27, 335-380, 2006
Decentralized estimation and control of graph connectivity for mobile sensor networks
P Yang, RA Freeman, GJ Gordon, KM Lynch, SS Srinivasa, R Sukthankar
Automatica 46 (2), 390-396, 2010
Finding approximate POMDP solutions through belief compression
N Roy, G Gordon, S Thrun
Journal of artificial intelligence research 23, 1-40, 2005
Planning in the presence of cost functions controlled by an adversary
HB McMahan, GJ Gordon, A Blum
Proceedings of the 20th International Conference on Machine Learning (ICML …, 2003
Anytime search in dynamic graphs
M Likhachev, D Ferguson, G Gordon, A Stentz, S Thrun
Artificial Intelligence 172 (14), 1613-1643, 2008
An evaluation of machine-learning methods for predicting pneumonia mortality
GF Cooper, CF Aliferis, R Ambrosino, J Aronis, BG Buchanan, R Caruana, ...
Artificial intelligence in medicine 9 (2), 107-138, 1997
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
V Verma, G Gordon, R Simmons, S Thrun
IEEE Robotics & Automation Magazine 11 (2), 56-66, 2004
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