BibTeX records: Daniel LeJeune

download as .bib file

@inproceedings{DBLP:conf/aistats/LeJeuneDB20,
  author    = {Daniel LeJeune and
               Gautam Dasarathy and
               Richard G. Baraniuk},
  editor    = {Silvia Chiappa and
               Roberto Calandra},
  title     = {Thresholding Graph Bandits with GrAPL},
  booktitle = {The 23rd International Conference on Artificial Intelligence and Statistics,
               {AISTATS} 2020, 26-28 August 2020, Online [Palermo, Sicily, Italy]},
  series    = {Proceedings of Machine Learning Research},
  volume    = {108},
  pages     = {2476--2485},
  publisher = {{PMLR}},
  year      = {2020},
  url       = {http://proceedings.mlr.press/v108/lejeune20a.html},
  timestamp = {Mon, 29 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/conf/aistats/LeJeuneDB20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/LeJeuneJB20,
  author    = {Daniel LeJeune and
               Hamid Javadi and
               Richard G. Baraniuk},
  editor    = {Silvia Chiappa and
               Roberto Calandra},
  title     = {The Implicit Regularization of Ordinary Least Squares Ensembles},
  booktitle = {The 23rd International Conference on Artificial Intelligence and Statistics,
               {AISTATS} 2020, 26-28 August 2020, Online [Palermo, Sicily, Italy]},
  series    = {Proceedings of Machine Learning Research},
  volume    = {108},
  pages     = {3525--3535},
  publisher = {{PMLR}},
  year      = {2020},
  url       = {http://proceedings.mlr.press/v108/lejeune20b.html},
  timestamp = {Mon, 29 Jun 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/conf/aistats/LeJeuneJB20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/LeJeuneHB19,
  author    = {Daniel LeJeune and
               Reinhard Heckel and
               Richard G. Baraniuk},
  editor    = {Kamalika Chaudhuri and
               Masashi Sugiyama},
  title     = {Adaptive Estimation for Approximate {\textdollar}k{\textdollar}-Nearest-Neighbor
               Computations},
  booktitle = {The 22nd International Conference on Artificial Intelligence and Statistics,
               {AISTATS} 2019, 16-18 April 2019, Naha, Okinawa, Japan},
  series    = {Proceedings of Machine Learning Research},
  volume    = {89},
  pages     = {3099--3107},
  publisher = {{PMLR}},
  year      = {2019},
  url       = {http://proceedings.mlr.press/v89/lejeune19a.html},
  timestamp = {Fri, 07 Jun 2019 09:03:47 +0200},
  biburl    = {https://dblp.org/rec/conf/aistats/LeJeuneHB19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1902-09465,
  author    = {Daniel LeJeune and
               Richard G. Baraniuk and
               Reinhard Heckel},
  title     = {Adaptive Estimation for Approximate k-Nearest-Neighbor Computations},
  journal   = {CoRR},
  volume    = {abs/1902.09465},
  year      = {2019},
  url       = {http://arxiv.org/abs/1902.09465},
  archivePrefix = {arXiv},
  eprint    = {1902.09465},
  timestamp = {Tue, 21 May 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/corr/abs-1902-09465.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1905-09190,
  author    = {Daniel LeJeune and
               Gautam Dasarathy and
               Richard G. Baraniuk},
  title     = {Thresholding Graph Bandits with GrAPL},
  journal   = {CoRR},
  volume    = {abs/1905.09190},
  year      = {2019},
  url       = {http://arxiv.org/abs/1905.09190},
  archivePrefix = {arXiv},
  eprint    = {1905.09190},
  timestamp = {Wed, 29 May 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/corr/abs-1905-09190.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1910-04743,
  author    = {Daniel LeJeune and
               Hamid Javadi and
               Richard G. Baraniuk},
  title     = {The Implicit Regularization of Ordinary Least Squares Ensembles},
  journal   = {CoRR},
  volume    = {abs/1910.04743},
  year      = {2019},
  url       = {http://arxiv.org/abs/1910.04743},
  archivePrefix = {arXiv},
  eprint    = {1910.04743},
  timestamp = {Wed, 16 Oct 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/corr/abs-1910-04743.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/flairs/MattererL18,
  author    = {Jason Matterer and
               Daniel LeJeune},
  editor    = {Keith Brawner and
               Vasile Rus},
  title     = {Peer Group Metadata-Informed {LSTM} Ensembles for Insider Threat Detection},
  booktitle = {Proceedings of the Thirty-First International Florida Artificial Intelligence
               Research Society Conference, {FLAIRS} 2018, Melbourne, Florida, {USA.}
               May 21-23 2018},
  pages     = {62--67},
  publisher = {{AAAI} Press},
  year      = {2018},
  url       = {https://aaai.org/ocs/index.php/FLAIRS/FLAIRS18/paper/view/17698},
  timestamp = {Fri, 25 May 2018 11:43:52 +0200},
  biburl    = {https://dblp.org/rec/conf/flairs/MattererL18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/AghazadehSLDSB18,
  author    = {Amirali Aghazadeh and
               Ryan Spring and
               Daniel LeJeune and
               Gautam Dasarathy and
               Anshumali Shrivastava and
               Richard G. Baraniuk},
  editor    = {Jennifer G. Dy and
               Andreas Krause},
  title     = {{MISSION:} Ultra Large-Scale Feature Selection using Count-Sketches},
  booktitle = {Proceedings of the 35th International Conference on Machine Learning,
               {ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
               10-15, 2018},
  series    = {Proceedings of Machine Learning Research},
  volume    = {80},
  pages     = {80--88},
  publisher = {{PMLR}},
  year      = {2018},
  url       = {http://proceedings.mlr.press/v80/aghazadeh18a.html},
  timestamp = {Wed, 03 Apr 2019 18:17:30 +0200},
  biburl    = {https://dblp.org/rec/conf/icml/AghazadehSLDSB18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1806-04310,
  author    = {Amirali Aghazadeh and
               Ryan Spring and
               Daniel LeJeune and
               Gautam Dasarathy and
               Anshumali Shrivastava and
               Richard G. Baraniuk},
  title     = {{MISSION:} Ultra Large-Scale Feature Selection using Count-Sketches},
  journal   = {CoRR},
  volume    = {abs/1806.04310},
  year      = {2018},
  url       = {http://arxiv.org/abs/1806.04310},
  archivePrefix = {arXiv},
  eprint    = {1806.04310},
  timestamp = {Mon, 13 Aug 2018 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/corr/abs-1806-04310.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
a service of Schloss Dagstuhl - Leibniz Center for Informatics