Geoff Gordon

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Han ZhaoAssistant Professor of Computer Science, University of Illinois at Urbana-ChampaignAdresse e-mail validée de illinois.edu
Byron BootsAssociate Professor, University of WashingtonAdresse e-mail validée de cs.washington.edu
J. Andrew BagnellCarnegie Mellon UniversityAdresse e-mail validée de ri.cmu.edu
Joelle PineauSchool of Computer Science, McGill University; FAIR, Meta AI; MilaAdresse e-mail validée de cs.mcgill.ca
Maxim LikhachevAssociate Professor of Robotics, Carnegie Mellon UniversityAdresse e-mail validée de cs.cmu.edu
Remi Tachet des CombesAdresse e-mail validée de alpacaml.com
Sajid SiddiqiGoogleAdresse e-mail validée de google.com
H. Brendan McMahanResearch Scientist, Google SeattleAdresse e-mail validée de google.com
Ahmed HefnyApplied Research Scientist, CruiseAdresse e-mail validée de getcruise.com
Ajit Paul SinghPrincipal Engineer, TempoAdresse e-mail validée de alumni.cmu.edu
David YaronProfessor of Chemistry, Carnegie Mellon UniversityAdresse e-mail validée de andrew.cmu.edu
Siddhartha SrinivasaProfessor, University of WashingtonAdresse e-mail validée de cs.washington.edu
Dave FergusonCo-Founder, NuroAdresse e-mail validée de nuro.ai
Anthony StentzCourtesy Faculty, Robotics Institute, Carnegie Mellon UniversityAdresse e-mail validée de nrec.ri.cmu.edu
Nicholas RoyMITAdresse e-mail validée de csail.mit.edu
Dana Van AkenCarnegie Mellon UniversityAdresse e-mail validée de alumni.cmu.edu
Andy PavloCarnegie Mellon UniversityAdresse e-mail validée de cs.cmu.edu
Wen SunAssistant Professor, Cornell UniversityAdresse e-mail validée de cornell.edu
Brian GerkeyOSRFAdresse e-mail validée de osrfoundation.org
Carlton DowneyCarnegie Mellon UniversityAdresse e-mail validée de cs.cmu.edu

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Geoff Gordon

Professor of Machine Learning, Carnegie Mellon University

Adresse e-mail validée de cs.cmu.edu - Page d'accueil

Artificial Intelligence Machine Learning


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	3166	2011
Point-based value iteration: An anytime algorithm for POMDPs J Pineau, G Gordon, S Thrun Ijcai 3, 1025-1032, 2003	1442	2003
Relational learning via collective matrix factorization AP Singh, GJ Gordon Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008	1421	2008
ARA: Anytime A with provable bounds on sub-optimality M Likhachev, GJ Gordon, S Thrun Advances in neural information processing systems 16, 2003	1008	2003
Anytime dynamic A*: An anytime, replanning algorithm. M Likhachev, DI Ferguson, GJ Gordon, A Stentz, S Thrun ICAPS 5, 262-271, 2005	833	2005
Stable function approximation in dynamic programming GJ Gordon Proc. Int'l Conf. on Machine Learning (ICML), 261-268, 1995	740	1995
Automatic database management system tuning through large-scale machine learning. DV Aken, A Pavlo, GJ Gordon, B Zhang. SIGMOD, 2017	636	2017
Individualized bayesian knowledge tracing models MV Yudelson, KR Koedinger, GJ Gordon Artificial Intelligence in Education: 16th International Conference, AIED …, 2013	593	2013
On learning invariant representations for domain adaptation. H Zhao, R Tachet des Combes, K Zhang, G Gordon ICML, 2019	584	2019
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	580	2019
Adversarial Multiple Source Domain Adaptation H Zhao, S Zhang, G Wu, JMF Moura, JP Costeira, G Gordon NeurIPS, 2018	558	2018
Anytime point-based approximations for large POMDPs J Pineau, G Gordon, S Thrun Journal of Artificial Intelligence Research 27, 335-380, 2006	508	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	498	2010
Finding approximate POMDP solutions through belief compression N Roy, G Gordon, S Thrun Journal of artificial intelligence research 23, 1-40, 2005	431	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	363	2003
Anytime search in dynamic graphs M Likhachev, D Ferguson, G Gordon, A Stentz, S Thrun Artificial Intelligence 172 (14), 1613-1643, 2008	332	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	293	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	289	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	281	2011
Real-time fault diagnosis V Verma, G Gordon, R Simmons, S Thrun IEEE Robotics & Automation Magazine 11 (2), 56-66, 2004	269	2004

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