Ruth Urner

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Shai Ben-DavidUniverity of Waterloo, CanadaPreverjeni e-poštni naslov na uwaterloo.ca
Maria-Florina BalcanProfessor, School of Computer Science, Carnegie Mellon UniversityPreverjeni e-poštni naslov na cs.cmu.edu
Shai Shalev-ShwartzThe Hebrew UniversityPreverjeni e-poštni naslov na cs.huji.ac.il
pranjal awasthiGooglePreverjeni e-poštni naslov na rutgers.edu
Nika HaghtalabUniversity of California, BerkeleyPreverjeni e-poštni naslov na berkeley.edu
Amit DanielyHebrew UniversityPreverjeni e-poštni naslov na mail.huji.ac.il
Ruta MehtaDept. of Computer Science, University of Illinois at Urbana-ChampaignPreverjeni e-poštni naslov na cs.illinois.edu
Ohad ShamirWeizmann Institute of SciencePreverjeni e-poštni naslov na weizmann.ac.il
Anastasia PentinaBayer AGPreverjeni e-poštni naslov na bayer.com
Sivan SabatoMcMaster University; Canada CIFAR AI Chair, Vector InstitutePreverjeni e-poštni naslov na mcmaster.ca
Aryeh KontorovichProfessor of Computer Science at Ben-Gurion UniversityPreverjeni e-poštni naslov na cs.bgu.ac.il
Edward LankProfessor of Computer Science, University of WaterlooPreverjeni e-poštni naslov na uwaterloo.ca
Daniel LizotteAssociate Professor of Computer Science; Associate Professor of Epidemiology and BiostatisticsPreverjeni e-poštni naslov na uwo.ca

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Ruth Urner

Associate Professor, York University, Toronto

Preverjeni e-poštni naslov na eecs.yorku.ca - Domača stran

Learning Theory Machine Learning


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
Efficient learning of linear separators under bounded noise P Awasthi, MF Balcan, N Haghtalab, R Urner Conference on Learning Theory, 167-190, 2015	103	2015
On the hardness of domain adaptation and the utility of unlabeled target samples S Ben-David, R Urner Algorithmic Learning Theory: 23rd International Conference, ALT 2012, Lyon …, 2012	100	2012
Domain adaptation–can quantity compensate for quality? S Ben-David, R Urner Annals of Mathematics and Artificial Intelligence 70, 185-202, 2014	77	2014
Plal: Cluster-based active learning R Urner, S Wulff, S Ben-David Conference on learning theory, 376-397, 2013	65	2013
Access to unlabeled data can speed up prediction time R Urner, S Shalev-Shwartz, S Ben-David Proceedings of the 28th International Conference on Machine Learning (ICML …, 2011	63	2011
Learning economic parameters from revealed preferences MF Balcan, A Daniely, R Mehta, R Urner, VV Vazirani Web and Internet Economics: 10th International Conference, WINE 2014 …, 2014	52	2014
Learning from weak teachers R Urner, SB David, O Shamir Artificial intelligence and statistics, 1252-1260, 2012	46	2012
Active nearest neighbors in changing environments C Berlind, R Urner International conference on machine learning, 1870-1879, 2015	41	2015
Lifelong learning with weighted majority votes A Pentina, R Urner Advances in Neural Information Processing Systems 29, 2016	40	2016
Probabilistic lipschitzness a niceness assumption for deterministic labels R Urner, S Ben-David Learning Faster from Easy Data-Workshop@ NIPS 2, 1, 2013	36	2013
Active nearest-neighbor learning in metric spaces A Kontorovich, S Sabato, R Urner Journal of Machine Learning Research 18 (195), 1-38, 2018	34	2018
When can unlabeled data improve the learning rate? C Göpfert, S Ben-David, O Bousquet, S Gelly, I Tolstikhin, R Urner Conference on Learning Theory, 1500-1518, 2019	29	2019
Active Learning-Modern Learning Theory. MF Balcan, R Urner Encyclopedia of algorithms, 8-13, 2016	26	2016
Black-box certification and learning under adversarial perturbations H Ashtiani, V Pathak, R Urner International Conference on Machine Learning, 388-398, 2020	24	2020
On learnability wih computable learners S Agarwal, N Ananthakrishnan, S Ben-David, T Lechner, R Urner Algorithmic Learning Theory, 48-60, 2020	23	2020
Domain adaptation as learning with auxiliary information S Ben-David, R Urner New directions in transfer and multi-task-workshop@ NIPS, 2013	20	2013
Naïve security in a Wi-Fi world C Swanson, R Urner, E Lank Trust Management IV: 4th IFIP WG 11.11 International Conference, IFIPTM 2010 …, 2010	19	2010
Hierarchical label queries with data-dependent partitions S Kpotufe, R Urner, S Ben-David Conference on Learning Theory, 1176-1189, 2015	18	2015
Learning losses for strategic classification T Lechner, R Urner Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 7337-7344, 2022	17	2022
The sample complexity of agnostic learning under deterministic labels S Ben-David, R Urner Conference on Learning Theory, 527-542, 2014	13	2014

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