Aleksandrs Slivkins

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	すべて	2020 年以来
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i10 指標	62	54

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

フォロー

Aleksandrs Slivkins

Senior Principal Researcher, Microsoft Research NYC

確認したメールアドレス: microsoft.com - ホームページ

Algorithms machine learning theory algorithmic economics social network analysis


タイトル引用回数順公開年順タイトル順	引用先引用先	年
Introduction to multi-armed bandits A Slivkins Foundations and Trends in Machine Learning 12 (1-2), 1-286, 2019	1275	2019
Bandits and experts in metric spaces R Kleinberg, A Slivkins, E Upfal Journal of the ACM (JACM) 66 (4), 30, 2019	662*	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	541	2018
Contextual bandits with similarity information A Slivkins The Journal of Machine Learning Research 15 (1), 2533-2568, 2014	489	2014
The best of both worlds: stochastic and adversarial bandits S Bubeck, A Slivkins Conference on Learning Theory, 42.1-42.23, 2012	278	2012
Triangulation and embedding using small sets of beacons J Kleinberg, A Slivkins, T Wexler Journal of the ACM (JACM) 56 (6), 32, 2009	231*	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	220	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	206	2015
Characterizing truthful multi-armed bandit mechanisms M Babaioff, Y Sharma, A Slivkins SIAM Journal on Computing 43 (1), 194-230, 2014	196*	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	176	2008
Bayesian incentive-compatible bandit exploration Y Mansour, A Slivkins, V Syrgkanis Operations Research 68 (4), 1132-1161, 2020	175*	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	158	2016
Resourceful contextual bandits A Badanidiyuru, J Langford, A Slivkins Conference on Learning Theory, 1109-1134, 2014	155	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	134	2022
Bayesian exploration: Incentivizing exploration in Bayesian games Y Mansour, A Slivkins, V Syrgkanis, ZS Wu Operations Research 70 (2), 1105-1127, 2022	134*	2022

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