Byron Boots, Ph.D. - Publications

Affiliations: 
2012 Computer Science|Machine Learning Carnegie Mellon University, Pittsburgh, PA 
Area:
Computer Science

15 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Pan Y, Cheng C, Saigol K, Lee K, Yan X, Theodorou EA, Boots B. Imitation learning for agile autonomous driving The International Journal of Robotics Research. 39: 286-302. DOI: 10.1177/0278364919880273  0.506
2018 Mukadam M, Dong J, Dellaert F, Boots B. STEAP: simultaneous trajectory estimation and planning Autonomous Robots. 43: 415-434. DOI: 10.1007/S10514-018-9770-1  0.404
2017 Yan X, Indelman V, Boots B. Incremental sparse GP regression for continuous-time trajectory estimation and mapping Robotics and Autonomous Systems. 87: 120-132. DOI: 10.1016/J.Robot.2016.10.004  0.41
2015 Shaban A, Farajtabar M, Xie B, Song L, Boots B. Learning latent variable models by improving spectral solutions with exterior point method Uncertainty in Artificial Intelligence - Proceedings of the 31st Conference, Uai 2015. 792-801.  0.512
2014 Boots B, Byravan A, Fox D. Learning predictive models of a depth camera & manipulator from raw execution traces Proceedings - Ieee International Conference On Robotics and Automation. 4021-4028. DOI: 10.1109/ICRA.2014.6907443  0.546
2013 Boots B, Gretton A, Gordon GJ. Hilbert space embeddings of predictive state representations Uncertainty in Artificial Intelligence - Proceedings of the 29th Conference, Uai 2013. 92-101.  0.681
2013 Boots B, Gordon GJ. A Spectral learning approach to range-only SLAM 30th International Conference On Machine Learning, Icml 2013. 19-26.  0.662
2012 Boots B, Gordon GJ. Two-manifold problems with applications to nonlinear system identification Proceedings of the 29th International Conference On Machine Learning, Icml 2012. 1: 623-630.  0.648
2011 Boots B, MSiddiqi S, Gordon GJ. Closing the learning-planning loop with predictive state representations International Journal of Robotics Research. 30: 954-966. DOI: 10.1177/0278364911404092  0.752
2011 Boots B, Gordon GJ. An online spectral learning algorithm for partially observable nonlinear dynamical systems Proceedings of the National Conference On Artificial Intelligence. 1: 293-300.  0.66
2011 Boots B, Siddiqi SM, Gordon GJ. Closing the learning-planning loop with predictive state representations Robotics: Science and Systems. 6: 283-290.  0.759
2010 Siddiqi SM, Boots B, Gordon GJ. Reduced-Rank Hidden Markov Models Journal of Machine Learning Research. 9: 741-748.  0.74
2010 Boots B, Gordon GJ. Predictive State Temporal Difference learning Advances in Neural Information Processing Systems 23: 24th Annual Conference On Neural Information Processing Systems 2010, Nips 2010 0.685
2010 Song L, Boots B, Siddiqi SM, Gordon G, Smola A. Hilbert space embeddings of Hidden Markov Models Icml 2010 - Proceedings, 27th International Conference On Machine Learning. 991-998.  0.738
2009 Siddiqi SM, Boots B, Gordon GJ. A constraint generation approach to learning stable linear dynamical systems Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference 0.715
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