Geoff Gordon

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Byron BootsAssociate Professor, University of WashingtonVerified email at cs.washington.edu
Han ZhaoAssistant Professor of Computer Science, University of Illinois at Urbana-ChampaignVerified email at illinois.edu
J. Andrew BagnellCarnegie Mellon UniversityVerified email at ri.cmu.edu
Joelle PineauSchool of Computer Science, McGill University; FAIR, Meta AI; MilaVerified email at cs.mcgill.ca
Maxim LikhachevAssociate Professor of Robotics, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Ahmed HefnyApplied Research Scientist, CruiseVerified email at getcruise.com
Remi Tachet des CombesVerified email at alpacaml.com
David YaronProfessor of Chemistry, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Dave FergusonCo-Founder, NuroVerified email at nuro.ai
Anthony StentzAdjunct Professor, Robotics Institute, Carnegie Mellon UniversityVerified email at cmu.edu
Nicholas RoyMITVerified email at csail.mit.edu
Brian GerkeyOSRFVerified email at osrfoundation.org
Dana Van AkenCarnegie Mellon UniversityVerified email at alumni.cmu.edu
Andy PavloCarnegie Mellon UniversityVerified email at cs.cmu.edu
Wen SunAssistant Professor, Cornell UniversityVerified email at cornell.edu
Carlton DowneyCarnegie Mellon UniversityVerified email at cs.cmu.edu
Ryan TibshiraniProfessor of StatisticsVerified email at berkeley.edu
Alessandro SordoniMicrosoft ResearchVerified email at microsoft.com
Jeff SchneiderCarnegie Mellon UniversityVerified email at cs.cmu.edu
Bohan ZhangCarnegie Mellon UniversityVerified email at cmu.edu

Geoff Gordon

Professor of Machine Learning, Carnegie Mellon University

Verified email at cs.cmu.edu - Homepage

Artificial Intelligence Machine Learning


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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	2813	2011
Point-based value iteration: An anytime algorithm for POMDPs J Pineau, G Gordon, S Thrun Ijcai 3, 1025-1032, 2003	1399	2003
Relational learning via collective matrix factorization AP Singh, GJ Gordon Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008	1351	2008
ARA: Anytime A with provable bounds on sub-optimality M Likhachev, GJ Gordon, S Thrun Advances in neural information processing systems 16, 2003	957	2003
Anytime dynamic A*: An anytime, replanning algorithm. M Likhachev, DI Ferguson, GJ Gordon, A Stentz, S Thrun ICAPS 5, 262-271, 2005	809	2005
Stable function approximation in dynamic programming GJ Gordon Proc. Int'l Conf. on Machine Learning (ICML), 261-268, 1995	724	1995
Automatic database management system tuning through large-scale machine learning. DV Aken, A Pavlo, GJ Gordon, B Zhang. SIGMOD, 2017	571	2017
Individualized bayesian knowledge tracing models MV Yudelson, KR Koedinger, GJ Gordon Artificial Intelligence in Education: 16th International Conference, AIED …, 2013	527	2013
On learning invariant representations for domain adaptation. H Zhao, R Tachet des Combes, K Zhang, G Gordon ICML, 2019	501	2019
Anytime point-based approximations for large POMDPs J Pineau, G Gordon, S Thrun Journal of Artificial Intelligence Research 27, 335-380, 2006	494	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	475	2010
Adversarial Multiple Source Domain Adaptation H Zhao, S Zhang, G Wu, JMF Moura, JP Costeira, G Gordon NeurIPS, 2018	469	2018
Finding approximate POMDP solutions through belief compression N Roy, G Gordon, S Thrun Journal of artificial intelligence research 23, 1-40, 2005	416	2005
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	401	2019
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	341	2003
Anytime search in dynamic graphs M Likhachev, D Ferguson, G Gordon, A Stentz, S Thrun Artificial Intelligence 172 (14), 1613-1643, 2008	316	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	283	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	282	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	275	2011
Real-time fault diagnosis V Verma, G Gordon, R Simmons, S Thrun IEEE Robotics & Automation Magazine 11 (2), 56-66, 2004	264	2004

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