Geoff Gordon

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Han ZhaoDepartment of Computer Science, University of Illinois Urbana-ChampaignVerified email at illinois.edu
Byron BootsAssociate Professor, University of WashingtonVerified email at cs.washington.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
Remi Tachet des CombesVerified email at alpacaml.com
Sajid SiddiqiGoogleVerified email at google.com
H. Brendan McMahanResearch Scientist, Google SeattleVerified email at google.com
Ahmed HefnyApplied Research Scientist, CruiseVerified email at getcruise.com
Ajit Paul SinghPrincipal Engineer, TempoVerified email at alumni.cmu.edu
David YaronProfessor of Chemistry, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Siddhartha SrinivasaProfessor, University of WashingtonVerified email at cs.washington.edu
Dave FergusonCo-Founder, NuroVerified email at nuro.ai
Anthony StentzCourtesy Faculty, Robotics Institute, Carnegie Mellon UniversityVerified email at nrec.ri.cmu.edu
Nicholas RoyMITVerified email at csail.mit.edu
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
Brian GerkeyOSRFVerified email at osrfoundation.org
Alessandro SordoniMicrosoft ResearchVerified email at microsoft.com

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	3641	2011
Relational learning via collective matrix factorization AP Singh, GJ Gordon Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008	1497	2008
Point-based value iteration: An anytime algorithm for POMDPs J Pineau, G Gordon, S Thrun Ijcai 3, 1025-1032, 2003	1492	2003
ARA: Anytime A with provable bounds on sub-optimality M Likhachev, GJ Gordon, S Thrun Advances in neural information processing systems 16, 2003	1060	2003
Anytime dynamic A*: An anytime, replanning algorithm. M Likhachev, DI Ferguson, GJ Gordon, A Stentz, S Thrun ICAPS 5, 262-271, 2005	877	2005
Stable function approximation in dynamic programming GJ Gordon Proc. Int'l Conf. on Machine Learning (ICML), 261-268, 1995	756	1995
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	737	2019
Automatic database management system tuning through large-scale machine learning. DV Aken, A Pavlo, GJ Gordon, B Zhang. SIGMOD, 2017	705	2017
On learning invariant representations for domain adaptation. H Zhao, R Tachet des Combes, K Zhang, G Gordon ICML, 2019	676	2019
Individualized bayesian knowledge tracing models MV Yudelson, KR Koedinger, GJ Gordon Artificial Intelligence in Education: 16th International Conference, AIED …, 2013	668	2013
Adversarial Multiple Source Domain Adaptation H Zhao, S Zhang, G Wu, JMF Moura, JP Costeira, G Gordon NeurIPS, 2018	630	2018
Anytime point-based approximations for large POMDPs J Pineau, G Gordon, S Thrun Journal of Artificial Intelligence Research 27, 335-380, 2006	528	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	512	2010
Finding approximate POMDP solutions through belief compression N Roy, G Gordon, S Thrun Journal of artificial intelligence research 23, 1-40, 2005	443	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	405	2003
Anytime search in dynamic graphs M Likhachev, D Ferguson, G Gordon, A Stentz, S Thrun Artificial Intelligence 172 (14), 1613-1643, 2008	352	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	300	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	297	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	287	2011
Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction. W Sun, A Venkatraman, G Gordon, B Boots, D Bagnell. ICML, 2017	283	2017

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