Search dblp for Publications

export results for "Yaniv Ovadia"

 download as .bib file

@inproceedings{DBLP:conf/iclr/RichardsonOOBA24,
  author       = {Nick Richardson and
                  Deniz Oktay and
                  Yaniv Ovadia and
                  James C. Bowden and
                  Ryan P. Adams},
  title        = {Fiber Monte Carlo},
  booktitle    = {The Twelfth International Conference on Learning Representations,
                  {ICLR} 2024, Vienna, Austria, May 7-11, 2024},
  publisher    = {OpenReview.net},
  year         = {2024},
  url          = {https://openreview.net/forum?id=sP1tCl2QBk},
  timestamp    = {Wed, 07 Aug 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/iclr/RichardsonOOBA24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2007-08506,
  author       = {Ari Seff and
                  Yaniv Ovadia and
                  Wenda Zhou and
                  Ryan P. Adams},
  title        = {SketchGraphs: {A} Large-Scale Dataset for Modeling Relational Geometry
                  in Computer-Aided Design},
  journal      = {CoRR},
  volume       = {abs/2007.08506},
  year         = {2020},
  url          = {https://arxiv.org/abs/2007.08506},
  eprinttype    = {arXiv},
  eprint       = {2007.08506},
  timestamp    = {Wed, 22 Jul 2020 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2007-08506.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/MarietOS19,
  author       = {Zelda E. Mariet and
                  Yaniv Ovadia and
                  Jasper Snoek},
  editor       = {Hanna M. Wallach and
                  Hugo Larochelle and
                  Alina Beygelzimer and
                  Florence d'Alch{\'{e}}{-}Buc and
                  Emily B. Fox and
                  Roman Garnett},
  title        = {DppNet: Approximating Determinantal Point Processes with Deep Networks},
  booktitle    = {Advances in Neural Information Processing Systems 32: Annual Conference
                  on Neural Information Processing Systems 2019, NeurIPS 2019, December
                  8-14, 2019, Vancouver, BC, Canada},
  pages        = {3218--3229},
  year         = {2019},
  url          = {https://proceedings.neurips.cc/paper/2019/hash/f2d887e01a80e813d9080038decbbabb-Abstract.html},
  timestamp    = {Mon, 16 May 2022 15:41:51 +0200},
  biburl       = {https://dblp.org/rec/conf/nips/MarietOS19.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/SnoekOFLNSDRN19,
  author       = {Jasper Snoek and
                  Yaniv Ovadia and
                  Emily Fertig and
                  Balaji Lakshminarayanan and
                  Sebastian Nowozin and
                  D. Sculley and
                  Joshua V. Dillon and
                  Jie Ren and
                  Zachary Nado},
  editor       = {Hanna M. Wallach and
                  Hugo Larochelle and
                  Alina Beygelzimer and
                  Florence d'Alch{\'{e}}{-}Buc and
                  Emily B. Fox and
                  Roman Garnett},
  title        = {Can you trust your model's uncertainty? Evaluating predictive uncertainty
                  under dataset shift},
  booktitle    = {Advances in Neural Information Processing Systems 32: Annual Conference
                  on Neural Information Processing Systems 2019, NeurIPS 2019, December
                  8-14, 2019, Vancouver, BC, Canada},
  pages        = {13969--13980},
  year         = {2019},
  url          = {https://proceedings.neurips.cc/paper/2019/hash/8558cb408c1d76621371888657d2eb1d-Abstract.html},
  timestamp    = {Thu, 21 Jan 2021 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/conf/nips/SnoekOFLNSDRN19.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1901-02051,
  author       = {Zelda Mariet and
                  Yaniv Ovadia and
                  Jasper Snoek},
  title        = {DPPNet: Approximating Determinantal Point Processes with Deep Networks},
  journal      = {CoRR},
  volume       = {abs/1901.02051},
  year         = {2019},
  url          = {http://arxiv.org/abs/1901.02051},
  eprinttype    = {arXiv},
  eprint       = {1901.02051},
  timestamp    = {Sun, 03 Feb 2019 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/abs-1901-02051.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1906-02530,
  author       = {Yaniv Ovadia and
                  Emily Fertig and
                  Jie Ren and
                  Zachary Nado and
                  David Sculley and
                  Sebastian Nowozin and
                  Joshua V. Dillon and
                  Balaji Lakshminarayanan and
                  Jasper Snoek},
  title        = {Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty
                  Under Dataset Shift},
  journal      = {CoRR},
  volume       = {abs/1906.02530},
  year         = {2019},
  url          = {http://arxiv.org/abs/1906.02530},
  eprinttype    = {arXiv},
  eprint       = {1906.02530},
  timestamp    = {Thu, 09 Apr 2020 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-1906-02530.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/kdd/OvadiaHKLNPZS17,
  author       = {Yaniv Ovadia and
                  Yoni Halpern and
                  Dilip Krishnan and
                  Josh Livni and
                  Daniel E. Newburger and
                  Ryan Poplin and
                  Tiantian Zha and
                  D. Sculley},
  title        = {Learning to Count Mosquitoes for the Sterile Insect Technique},
  booktitle    = {Proceedings of the 23rd {ACM} {SIGKDD} International Conference on
                  Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13
                  - 17, 2017},
  pages        = {1943--1949},
  publisher    = {{ACM}},
  year         = {2017},
  url          = {https://doi.org/10.1145/3097983.3098204},
  doi          = {10.1145/3097983.3098204},
  timestamp    = {Fri, 29 Sep 2023 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/kdd/OvadiaHKLNPZS17.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jcb/OvadiaFCL11,
  author       = {Yaniv Ovadia and
                  Daniel Fielder and
                  Chris Conow and
                  Ran Libeskind{-}Hadas},
  title        = {The Cophylogeny Reconstruction Problem Is NP-Complete},
  journal      = {J. Comput. Biol.},
  volume       = {18},
  number       = {1},
  pages        = {59--65},
  year         = {2011},
  url          = {https://doi.org/10.1089/cmb.2009.0240},
  doi          = {10.1089/CMB.2009.0240},
  timestamp    = {Thu, 12 Mar 2020 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/jcb/OvadiaFCL11.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/almob/ConowFOL10,
  author       = {Chris Conow and
                  Daniel Fielder and
                  Yaniv Ovadia and
                  Ran Libeskind{-}Hadas},
  title        = {Jane: a new tool for the cophylogeny reconstruction problem},
  journal      = {Algorithms Mol. Biol.},
  volume       = {5},
  pages        = {16},
  year         = {2010},
  url          = {https://doi.org/10.1186/1748-7188-5-16},
  doi          = {10.1186/1748-7188-5-16},
  timestamp    = {Fri, 13 Mar 2020 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/almob/ConowFOL10.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}