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Hoang M. Le

PhD Candidate in Computing + Mathematical Sciences @ Caltech

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My Projects and Publications

Preprints

  • Hoang M. Le, Nan Jiang, Alekh Agarwal, Miroslav Dudík, Yisong Yue and Hal Daumé III
    Hierarchical Imitation and Reinforcement Learning
    In Preparation, 2018
    [PDF] [Project Page] [BibTeX]

    @article{le2018hierarchical,
      title={Hierarchical Imitation and Reinforcement Learning},
      author={Le, Hoang M and Jiang, Nan and Agarwal, Alekh and Dud{\'\i}k, Miroslav and Yue, Yisong and Daum{\'e} III, Hal},
      journal={arXiv preprint arXiv:1803.00590},
      year={2018}
    }
    

Peer-Reviewed Publications

  • Hoang M. Le, Yisong Yue, Peter Carr and Patrick Lucey
    Coordinated Multi-Agent Imitation Learning
    International Conference on Machine Learning (ICML), 2017
    [PDF] [long] [BibTeX]

    @inproceedings{le2017coordinated,
      title={Coordinated Multi-Agent Imitation Learning},
      author={Le, Hoang M and Yue, Yisong and Carr, Peter and Lucey, Patrick},
      booktitle={International Conference on Machine Learning},
      pages={1995--2003},
      year={2017}
    }
    
  • Hoang M. Le, Peter Carr,Yisong Yue and Patrick Lucey
    Data-Driven Ghosting using Deep Imitation Learning
    MIT Sloan Sports Analytics Conference (SSAC), 2017
    (Best Paper Runner-Up Award)
    [PDF] [Project Page] [Video Demo] [BibTeX]

    @article{le2017data,
      title={Data-Driven Ghosting using Deep Imitation Learning},
      author={Le, Hoang M and Carr, Peter and Yue, Yisong and Lucey, Patrick}
      journal={MIT Sloan Sports Analytics Conference (SSAC)},
      year={2017}
    }
    
  • Hoang M. Le, Andrew Kang, Yisong Yue and Peter Carr
    Smooth Imitation Learning for Online Sequence Prediction
    International Conference on Machine Learning (ICML), 2016
    [PDF] [long] [BibTeX]

    @inproceedings{le2016smooth,
      title={Smooth Imitation Learning for Online Sequence Prediction},
      author={Le, Hoang and Kang, Andrew and Yue, Yisong and Carr, Peter},
      booktitle={International Conference on Machine Learning},
      pages={680--688},
      year={2016}
    }
  • Jianhui Chen, Hoang M. Le, Peter Carr, Yisong Yue and James J. Little
    Learning Online Smooth Predictors for Real-time Camera Planning using Recurrent Decision Trees
    Computer Vision and Pattern Recognition (CVPR), 2016
    (Oral Presentation)
    [PDF] [Press Release] [BibTeX]

    @inproceedings{chen2016learning,
      title={Learning online smooth predictors for realtime camera planning using recurrent decision trees},
      author={Chen, Jianhui and Le, Hoang M and Carr, Peter and Yue, Yisong and Little, James J},
      booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
      pages={4688--4696},
      year={2016}
    }
  • Riccardo Zucca, Xerxes D. Arsiwalla, Hoang M. Le, Mikail Rubinov and Paul FMJ. Verschure
    Scaling Properties of Human Brain Functional Networks
    International Conference on Artificial Neural Networks (ICANN), 2016
    [BibTeX] [PDF]

    @inproceedings{zucca2016scaling,
      title={Scaling properties of human brain functional networks},
      author={Zucca, Riccardo and Arsiwalla, Xerxes D and Le, Hoang and Rubinov, Mikail and Verschure, Paul FMJ},
      booktitle={International Conference on Artificial Neural Networks},
      pages={107--114},
      year={2016},
      organization={Springer}
    }
    
  • Hoang M. Le, Xerxes D. Arsiwalla, Riccardo Zucca and Paul FMJ. Verschure
    Topology of Brain Functional Networks
    European Conference on Complex Systems (ECCS), 2013
    [PDF]

  • Hoang M. Le and Maurice F. Aburdene
    The Discrete Gould Transform and Its Applications
    Proceedings of SPIE - the International Society for Optical Engineering Image Processing: Algorithms and Systems, Neural Networks, and Machine Learning, 2006
    [PDF] [BibTeX]

    @inproceedings{le2006discrete,
    title={The discrete Gould transform and its applications},
    author={Le, Hoang M and Aburdene, Maurice},
    booktitle={Image Processing: Algorithms and Systems, Neural Networks, and Machine Learning},
    volume={6064},
    pages={60640I},
    year={2006},
    organization={International Society for Optics and Photonics}
    }
    
  • Maurice F. Aburdene,Hoang M. Le and John E. Dorband
    Computations of the symmetric cosine transform using Forsythe and Clenshaw's recurrence formulae
    Proceedings of SPIE, Image and Video Communications and Processing, 2005
    [PDF] [BibTeX]

    @inproceedings{aburdene2005computations,
      title={Computations of the symmetric cosine transform using Forsythe and Clenshaw's recurrence formulae},
      author={Aburdene, Maurice F and Le, Hoang M and Dorband, John E},
      booktitle={Image and Video Communications and Processing 2005},
      volume={5685},
      pages={977--987},
      year={2005},
      organization={International Society for Optics and Photonics}
    }
    

Patents

Workshop and Other Publications

  • Hoang M. Le, Yisong Yue and Peter Carr
    Smooth Imitation Learning
    Interactive Machine Learning Workshop at Neural Information Processing System (NIPS), 2015
    [PDF]