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Geoffrey J. Gordon

Affiliations: 
Carnegie Mellon University, Pittsburgh, PA 
Area:
Computer Science, Robotics Engineering
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"Geoffrey Gordon"
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Parents

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Tom Michael Mitchell grad student Carnegie Mellon (Neurotree)

Children

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Joelle Pineau grad student 2004 Carnegie Mellon
Maxim Likhachev grad student 2005 Carnegie Mellon
Hugh B. McMahan grad student 2006 Carnegie Mellon
Sajid M. Siddiqi grad student 2009 Carnegie Mellon
Byron Boots grad student 2012 Carnegie Mellon
Sue Ann Hong grad student 2012 Carnegie Mellon

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Publications

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Li H, Collins C, Tanha M, et al. (2018) A Density Functional Tight Binding Layer for Deep Learning of Chemical Hamiltonians. Journal of Chemical Theory and Computation
Hefny A, Downey C, Gordon GJ. (2015) Supervised Learning for Dynamical System Learning. Advances in Neural Information Processing Systems. 28: 1954-1962
Hefny A, Downey C, Gordon GJ. (2015) Supervised learning for dynamical system learning Advances in Neural Information Processing Systems. 2015: 1963-1971
Boots B, Gretton A, Gordon GJ. (2013) Hilbert space embeddings of predictive state representations Uncertainty in Artificial Intelligence - Proceedings of the 29th Conference, Uai 2013. 92-101
Boots B, Gordon GJ. (2013) A Spectral learning approach to range-only SLAM 30th International Conference On Machine Learning, Icml 2013. 19-26
Boots B, Gordon GJ. (2012) Two-manifold problems with applications to nonlinear system identification Proceedings of the 29th International Conference On Machine Learning, Icml 2012. 1: 623-630
Boots B, MSiddiqi S, Gordon GJ. (2011) Closing the learning-planning loop with predictive state representations International Journal of Robotics Research. 30: 954-966
Hong SA, Gordon GJ. (2011) Decomposition-based optimal market-based planning for multi-agent systems with shared resources Journal of Machine Learning Research. 15: 351-360
Ross S, Gordon GJ, Bagnell JA. (2011) A reduction of imitation learning and structured prediction to no-regret online learning Journal of Machine Learning Research. 15: 627-635
Boots B, Siddiqi SM, Gordon GJ. (2011) Closing the learning-planning loop with predictive state representations Robotics: Science and Systems. 6: 283-290
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