Meta-learning Priors for Efficient Online Bayesian Regression

James Harrison, Apoorva Sharma, Marco Pavone. Meta-learning Priors for Efficient Online Bayesian Regression. In Marco Morales, Lydia Tapia, Gildardo Sánchez-Ante, Seth Hutchinson, editors, Algorithmic Foundations of Robotics XIII, Proceedings of the 13th Workshop on the Algorithmic Foundations of Robotics, WAFR 2018, Mérida, Mexico, December 9-11, 2018. Volume 14 of Springer Proceedings in Advanced Robotics, pages 318-337, Springer, 2018. [doi]

@inproceedings{HarrisonSP18,
  title = {Meta-learning Priors for Efficient Online Bayesian Regression},
  author = {James Harrison and Apoorva Sharma and Marco Pavone},
  year = {2018},
  doi = {10.1007/978-3-030-44051-0_19},
  url = {https://doi.org/10.1007/978-3-030-44051-0_19},
  researchr = {https://researchr.org/publication/HarrisonSP18},
  cites = {0},
  citedby = {0},
  pages = {318-337},
  booktitle = {Algorithmic Foundations of Robotics XIII, Proceedings of the 13th Workshop on the Algorithmic Foundations of Robotics, WAFR 2018, Mérida, Mexico, December 9-11, 2018},
  editor = {Marco Morales and Lydia Tapia and Gildardo Sánchez-Ante and Seth Hutchinson},
  volume = {14},
  series = {Springer Proceedings in Advanced Robotics},
  publisher = {Springer},
  isbn = {978-3-030-44051-0},
}