Stop the war!
Остановите войну!
for scientists:
default search action
BibTeX records: Elias Jääsaari
@inproceedings{DBLP:conf/nips/HyvonenJR22, author = {Ville Hyv{\"{o}}nen and Elias J{\"{a}}{\"{a}}saari and Teemu Roos}, editor = {Sanmi Koyejo and S. Mohamed and A. Agarwal and Danielle Belgrave and K. Cho and A. Oh}, title = {A Multilabel Classification Framework for Approximate Nearest Neighbor Search}, booktitle = {Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022}, year = {2022}, url = {http://papers.nips.cc/paper\_files/paper/2022/hash/e8752f3e51f33a2e06daf044c40ce412-Abstract-Conference.html}, timestamp = {Mon, 08 Jan 2024 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/nips/HyvonenJR22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2208-12218, author = {Elias J{\"{a}}{\"{a}}saari and Michelle Ma and Ameet Talwalkar and Tianqi Chen}, title = {{SONAR:} Joint Architecture and System Optimization Search}, journal = {CoRR}, volume = {abs/2208.12218}, year = {2022}, url = {https://doi.org/10.48550/arXiv.2208.12218}, doi = {10.48550/ARXIV.2208.12218}, eprinttype = {arXiv}, eprint = {2208.12218}, timestamp = {Tue, 30 Aug 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-2208-12218.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/pakdd/JaasaariHR19, author = {Elias J{\"{a}}{\"{a}}saari and Ville Hyv{\"{o}}nen and Teemu Roos}, editor = {Qiang Yang and Zhi{-}Hua Zhou and Zhiguo Gong and Min{-}Ling Zhang and Sheng{-}Jun Huang}, title = {Efficient Autotuning of Hyperparameters in Approximate Nearest Neighbor Search}, booktitle = {Advances in Knowledge Discovery and Data Mining - 23rd Pacific-Asia Conference, {PAKDD} 2019, Macau, China, April 14-17, 2019, Proceedings, Part {II}}, series = {Lecture Notes in Computer Science}, volume = {11440}, pages = {590--602}, publisher = {Springer}, year = {2019}, url = {https://doi.org/10.1007/978-3-030-16145-3\_46}, doi = {10.1007/978-3-030-16145-3\_46}, timestamp = {Wed, 16 Mar 2022 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/pakdd/JaasaariHR19.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-1910-08322, author = {Ville Hyv{\"{o}}nen and Elias J{\"{a}}{\"{a}}saari and Teemu Roos}, title = {Supervised Learning Approach to Approximate Nearest Neighbor Search}, journal = {CoRR}, volume = {abs/1910.08322}, year = {2019}, url = {http://arxiv.org/abs/1910.08322}, eprinttype = {arXiv}, eprint = {1910.08322}, timestamp = {Tue, 22 Oct 2019 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-1910-08322.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/aistats/SilanderLJR18, author = {Tomi Silander and Janne Lepp{\"{a}}{-}aho and Elias J{\"{a}}{\"{a}}saari and Teemu Roos}, editor = {Amos J. Storkey and Fernando P{\'{e}}rez{-}Cruz}, title = {Quotient Normalized Maximum Likelihood Criterion for Learning Bayesian Network Structures}, booktitle = {International Conference on Artificial Intelligence and Statistics, {AISTATS} 2018, 9-11 April 2018, Playa Blanca, Lanzarote, Canary Islands, Spain}, series = {Proceedings of Machine Learning Research}, volume = {84}, pages = {948--957}, publisher = {{PMLR}}, year = {2018}, url = {http://proceedings.mlr.press/v84/silander18a.html}, timestamp = {Wed, 03 Apr 2019 18:17:22 +0200}, biburl = {https://dblp.org/rec/conf/aistats/SilanderLJR18.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/alt/JaasaariLSR18, author = {Elias J{\"{a}}{\"{a}}saari and Janne Lepp{\"{a}}{-}aho and Tomi Silander and Teemu Roos}, editor = {Firdaus Janoos and Mehryar Mohri and Karthik Sridharan}, title = {Minimax Optimal Bayes Mixtures for Memoryless Sources over Large Alphabets}, booktitle = {Algorithmic Learning Theory, {ALT} 2018, 7-9 April 2018, Lanzarote, Canary Islands, Spain}, series = {Proceedings of Machine Learning Research}, volume = {83}, pages = {470--488}, publisher = {{PMLR}}, year = {2018}, url = {http://proceedings.mlr.press/v83/jaasaari18a.html}, timestamp = {Wed, 03 Apr 2019 18:17:24 +0200}, biburl = {https://dblp.org/rec/conf/alt/JaasaariLSR18.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-1812-07484, author = {Elias J{\"{a}}{\"{a}}saari and Ville Hyv{\"{o}}nen and Teemu Roos}, title = {Efficient Autotuning of Hyperparameters in Approximate Nearest Neighbor Search}, journal = {CoRR}, volume = {abs/1812.07484}, year = {2018}, url = {http://arxiv.org/abs/1812.07484}, eprinttype = {arXiv}, eprint = {1812.07484}, timestamp = {Tue, 01 Jan 2019 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/corr/abs-1812-07484.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/bigdataconf/HyvonenPTJTWCR16, author = {Ville Hyv{\"{o}}nen and Teemu Pitk{\"{a}}nen and Sotiris K. Tasoulis and Elias Jaasaari and Risto Tuomainen and Liang Wang and Jukka Corander and Teemu Roos}, editor = {James Joshi and George Karypis and Ling Liu and Xiaohua Hu and Ronay Ak and Yinglong Xia and Weijia Xu and Aki{-}Hiro Sato and Sudarsan Rachuri and Lyle H. Ungar and Philip S. Yu and Rama Govindaraju and Toyotaro Suzumura}, title = {Fast nearest neighbor search through sparse random projections and voting}, booktitle = {2016 {IEEE} International Conference on Big Data {(IEEE} BigData 2016), Washington DC, USA, December 5-8, 2016}, pages = {881--888}, publisher = {{IEEE} Computer Society}, year = {2016}, url = {https://doi.org/10.1109/BigData.2016.7840682}, doi = {10.1109/BIGDATA.2016.7840682}, timestamp = {Fri, 24 Mar 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/bigdataconf/HyvonenPTJTWCR16.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.