Aleksandrs Slivkins

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	总计	2020 年至今
引用	8400	4786
h 指数	40	32
i10 指数	62	54

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Robert KleinbergDepartment of Computer Science, Cornell University在 cs.cornell.edu 的电子邮件经过验证
Zhiwei Steven WuCarnegie Mellon University在 andrew.cmu.edu 的电子邮件经过验证
Jennifer Wortman VaughanSenior Principal Researcher, Microsoft Research, New York City在 microsoft.com 的电子邮件经过验证
Moshe BabaioffHebrew University of Jerusalem在 mail.huji.ac.il 的电子邮件经过验证
Ittai AbrahamIntel在 cs.huji.ac.il 的电子邮件经过验证
Jon KleinbergProfessor of Computer Science, Cornell University在 cs.cornell.edu 的电子邮件经过验证
John LangfordMicrosoft Research New York在 hunch.net 的电子邮件经过验证
Nicole ImmorlicaMicrosoft Research在 microsoft.com 的电子邮件经过验证
Eli UpfalComputer Science Professor, Brown University在 brown.edu 的电子邮件经过验证
Yishay MansourTel Aviv University在 tauex.tau.ac.il 的电子邮件经过验证
Karthik Abinav SankararamanMeta/Facebook, University of Maryland, College Park在 fb.com 的电子邮件经过验证
Ashwinkumar BadanidiyuruUber在 uber.com 的电子邮件经过验证
Siddhartha SenMicrosoft Research (NYC)在 microsoft.com 的电子邮件经过验证
Chien-Ju HoWashington University in St. Louis在 wustl.edu 的电子邮件经过验证
Vasilis SyrgkanisAssistant Professor, Stanford University在 stanford.edu 的电子邮件经过验证
Brendan LucierMicrosoft Research在 microsoft.com 的电子邮件经过验证
Omar AlonsoAmazon在 amazon.com 的电子邮件经过验证
Robert SchapireMicrosoft Research在 microsoft.com 的电子邮件经过验证
Akshay KrishnamurthyUniversity of Massachusetts Amherst在 cs.umass.edu 的电子邮件经过验证
Max SimchowitzMIT在 andrew.cmu.edu 的电子邮件经过验证

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Aleksandrs Slivkins

Senior Principal Researcher, Microsoft Research NYC

在 microsoft.com 的电子邮件经过验证 - 首页

Algorithms machine learning theory algorithmic economics social network analysis


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Introduction to multi-armed bandits A Slivkins Foundations and Trends in Machine Learning 12 (1-2), 1-286, 2019	1260	2019
Bandits and experts in metric spaces R Kleinberg, A Slivkins, E Upfal Journal of the ACM (JACM) 66 (4), 30, 2019	659*	2019
Meridian: A lightweight network location service without virtual coordinates B Wong, A Slivkins, EG Sirer ACM SIGCOMM Computer Communication Review 35 (4), 85-96, 2005	586	2005
Bandits with knapsacks A Badanidiyuru, R Kleinberg, A Slivkins Journal of the ACM (JACM) 65 (3), 13, 2018	537	2018
Contextual bandits with similarity information A Slivkins The Journal of Machine Learning Research 15 (1), 2533-2568, 2014	488	2014
The best of both worlds: stochastic and adversarial bandits S Bubeck, A Slivkins Conference on Learning Theory, 42.1-42.23, 2012	277	2012
Triangulation and embedding using small sets of beacons J Kleinberg, A Slivkins, T Wexler Journal of the ACM (JACM) 56 (6), 32, 2009	230*	2009
Dynamic pricing with limited supply M Babaioff, S Dughmi, R Kleinberg, A Slivkins ACM Transactions on Economics and Computation (TEAC) 3 (1), 4, 2015	219	2015
Incentivizing high quality crowdwork CJ Ho, A Slivkins, S Suri, JW Vaughan Proceedings of the 24th International Conference on World Wide Web, 419-429, 2015	203	2015
Characterizing truthful multi-armed bandit mechanisms M Babaioff, Y Sharma, A Slivkins SIAM Journal on Computing 43 (1), 194-230, 2014	193*	2014
One practical algorithm for both stochastic and adversarial bandits Y Seldin, A Slivkins International Conference on Machine Learning, 1287-1295, 2014	191	2014
Adapting to a Changing Environment: the Brownian Restless Bandits. A Slivkins, E Upfal COLT, 343-354, 2008	175	2008
Bayesian incentive-compatible bandit exploration Y Mansour, A Slivkins, V Syrgkanis Operations Research 68 (4), 1132-1161, 2020	173*	2020
Ranked bandits in metric spaces: learning diverse rankings over large document collections A Slivkins, F Radlinski, S Gollapudi Journal of Machine Learning Research 14 (Feb), 399-436, 2013	161*	2013
Adaptive contract design for crowdsourcing markets: Bandit algorithms for repeated principal-agent problems CJ Ho, A Slivkins, JW Vaughan Journal of Artificial Intelligence Research 55, 317-359, 2016	157	2016
Resourceful contextual bandits A Badanidiyuru, J Langford, A Slivkins Conference on Learning Theory, 1109-1134, 2014	154	2014
Making contextual decisions with low technical debt A Agarwal, S Bird, M Cozowicz, L Hoang, J Langford, S Lee, J Li, ... arXiv preprint arXiv:1606.03966, 2016	153*	2016
Distance estimation and object location via rings of neighbors A Slivkins Distributed Computing 19 (4), 313-333, 2007	143	2007
Adversarial Bandits with Knapsacks N Immorlica, K Sankararaman, R Schapire, A Slivkins Journal of the ACM 69 (6), 1-47, 2022	133	2022
Bayesian exploration: Incentivizing exploration in Bayesian games Y Mansour, A Slivkins, V Syrgkanis, ZS Wu Operations Research 70 (2), 1105-1127, 2022	132*	2022

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