Geoff Gordon

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Sebastian ThrunStanfordVerified email at stanford.edu
Han ZhaoAssistant Professor of Computer Science, University of Illinois at Urbana-ChampaignVerified email at illinois.edu
Byron BootsAssociate Professor, University of WashingtonVerified email at cs.washington.edu
Joelle PineauSchool of Computer Science, McGill University; FAIR, Meta AI; MilaVerified email at cs.mcgill.ca
Remi Tachet des CombesVerified email at alpacaml.com
Brian GerkeyOSRFVerified email at osrfoundation.org
Reid G. SimmonsCarnegie Mellon UniversityVerified email at cs.cmu.edu
Vandi VermaNASA Jet Propulsion Laboratory California Institute of TechnologyVerified email at jpl.nasa.gov
Jeff SchneiderCarnegie Mellon UniversityVerified email at cs.cmu.edu
Nicholas RoyMITVerified email at csail.mit.edu
Adam TrischlerMicrosoft Research, McGill UniversityVerified email at microsoft.com
Maxim LikhachevAssociate Professor of Robotics, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Dave FergusonCo-Founder, NuroVerified email at nuro.ai
Anthony StentzAdjunct Professor, Robotics Institute, Carnegie Mellon UniversityVerified email at cmu.edu
Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMUVerified email at cs.cmu.edu
Tameem AdelMachine Learning Group, University of CambridgeVerified email at uwaterloo.ca
Katia SycaraProfessor School of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Pradeep VarakanthamProfessor of Computer Science, Lee Kuan Yew Fellow, Director of CARE.AI lab, School of Computing andVerified email at smu.edu.sg
Siddarth SrinivasanUniversity of WashingtonVerified email at cs.washington.edu
Shih-Fen ChengSchool of Computing and Information Systems, Singapore Management UniversityVerified email at smu.edu.sg

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	2617	2011
Point-based value iteration: An anytime algorithm for POMDPs J Pineau, G Gordon, S Thrun Ijcai 3, 1025-1032, 2003	1373	2003
Automatic database management system tuning through large-scale machine learning. DV Aken, A Pavlo, GJ Gordon, B Zhang. SIGMOD, 2017	530	2017
Anytime point-based approximations for large POMDPs J Pineau, G Gordon, S Thrun Journal of Artificial Intelligence Research 27, 335-380, 2006	487	2006
On learning invariant representations for domain adaptation. H Zhao, R Tachet des Combes, K Zhang, G Gordon ICML, 2019	454	2019
Adversarial Multiple Source Domain Adaptation H Zhao, S Zhang, G Wu, JMF Moura, JP Costeira, G Gordon NeurIPS, 2018	428	2018
Finding approximate POMDP solutions through belief compression N Roy, G Gordon, S Thrun Journal of artificial intelligence research 23, 1-40, 2005	415	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	336	2019
Anytime search in dynamic graphs M Likhachev, D Ferguson, G Gordon, A Stentz, S Thrun Artificial Intelligence 172 (14), 1613-1643, 2008	305	2008
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	277	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	273	2011
Real-time fault diagnosis [robot fault diagnosis] V Verma, G Gordon, R Simmons, S Thrun IEEE Robotics & Automation Magazine 11 (2), 56-66, 2004	260	2004
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	251	2004
Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction. W Sun, A Venkatraman, G Gordon, B Boots, D Bagnell. ICML, 2017	231	2017
Query-based workload forecasting for self-driving database management systems. L Ma, DV Aken, A Hefny, G Mezerhane, A Pavlo, GJ Gordon SIGMOD, 2018	195	2018
Deeparchitect: Automatically designing and training deep architectures R Negrinho, G Gordon arXiv preprint 2 (arXiv:1704.08792), 2017	181	2017
DeepArchitect: Automatically designing and training deep architectures R Negrinho, G Gordon arXiv preprint arXiv:1704.08792, 2017	177	2017
Teaching over the web versus in the classroom: Differences in the instructor experience M Caris, D Ferguson, G Gordon International Journal of Instructional Media 29 (1), 61-67, 2002	171	2002
Inherent Tradeoffs in Learning Fair Representations. H Zhao, G Gordon JMLR 23, 2022	148	2022
Learning low dimensional predictive representations M Rosencrantz, G Gordon, S Thrun Proceedings of the twenty-first international conference on Machine learning, 88, 2004	138	2004

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