Aleksandrs Slivkins

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Robert KleinbergDepartment of Computer Science, Cornell UniversityVerified email at cs.cornell.edu
Jennifer Wortman VaughanSenior Principal Researcher, Microsoft Research, New York CityVerified email at microsoft.com
Zhiwei Steven WuCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Jon KleinbergProfessor of Computer Science, Cornell UniversityVerified email at cs.cornell.edu
Moshe BabaioffMicrosoft ResearchVerified email at microsoft.com
Ittai AbrahamVMwareVerified email at cs.huji.ac.il
Eli UpfalComputer Science Professor, Brown UniversityVerified email at brown.edu
John LangfordMicrosoft Research New YorkVerified email at hunch.net
Emin Gün SirerCornell UniversityVerified email at systems.cs.cornell.edu
Dr Bernard WongUniversity of SydneyVerified email at bawtech.com.au
Ashwinkumar BadanidiyuruGoogle Research Mountain ViewVerified email at google.com
Siddhartha SenMicrosoft Research (NYC)Verified email at microsoft.com
Yishay MansourTel Aviv UniversityVerified email at tauex.tau.ac.il
Karthik Abinav SankararamanMeta/Facebook, University of Maryland, College ParkVerified email at fb.com
Chien-Ju HoWashington University in St. LouisVerified email at wustl.edu
Filip RadlinskiGoogleVerified email at google.com
Omar AlonsoAmazonVerified email at amazon.com
Nicole ImmorlicaMicrosoft ResearchVerified email at microsoft.com
Vasilis SyrgkanisAssistant Professor, Stanford UniversityVerified email at stanford.edu
Sreenivas GollapudiGoogleVerified email at google.com

Aleksandrs Slivkins

Senior Principal Researcher, Microsoft Research NYC

Verified email at microsoft.com - Homepage

Algorithms machine learning theory algorithmic economics social network analysis


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Introduction to multi-armed bandits A Slivkins Foundations and Trends in Machine Learning 12 (1-2), 1-286, 2019	606	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	580	2005
Bandits and experts in metric spaces R Kleinberg, A Slivkins, E Upfal Journal of the ACM (JACM) 66 (4), 30, 2019	535*	2019
Contextual bandits with similarity information A Slivkins The Journal of Machine Learning Research 15 (1), 2533-2568, 2014	415	2014
Bandits with knapsacks A Badanidiyuru, R Kleinberg, A Slivkins Journal of the ACM (JACM) 65 (3), 13, 2018	392	2018
Triangulation and embedding using small sets of beacons J Kleinberg, A Slivkins, T Wexler Journal of the ACM (JACM) 56 (6), 32, 2009	226*	2009
The best of both worlds: stochastic and adversarial bandits S Bubeck, A Slivkins Conference on Learning Theory, 42.1-42.23, 2012	201	2012
Dynamic pricing with limited supply M Babaioff, S Dughmi, R Kleinberg, A Slivkins ACM Transactions on Economics and Computation (TEAC) 3 (1), 4, 2015	182	2015
Characterizing truthful multi-armed bandit mechanisms M Babaioff, Y Sharma, A Slivkins SIAM Journal on Computing 43 (1), 194-230, 2014	170*	2014
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	155	2015
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	150*	2013
Adapting to a Changing Environment: the Brownian Restless Bandits. A Slivkins, E Upfal COLT, 343-354, 2008	145	2008
One practical algorithm for both stochastic and adversarial bandits Y Seldin, A Slivkins International Conference on Machine Learning, 1287-1295, 2014	143	2014
Distance estimation and object location via rings of neighbors A Slivkins Distributed Computing 19 (4), 313-333, 2007	141	2007
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	112*	2016
Resourceful contextual bandits A Badanidiyuru, J Langford, A Slivkins Conference on Learning Theory, 1109-1134, 2014	112	2014
Bayesian incentive-compatible bandit exploration Y Mansour, A Slivkins, V Syrgkanis Operations Research 68 (4), 1132-1161, 2020	111*	2020
Truthful mechanisms with implicit payment computation M Babaioff, RD Kleinberg, A Slivkins Journal of the ACM (JACM) 62 (2), 1-37, 2015	111	2015
Metric embeddings with relaxed guarantees THH Chan, K Dhamdhere, A Gupta, J Kleinberg, A Slivkins SIAM Journal on Computing 38 (6), 2303-2329, 2009	108*	2009
Parameterized tractability of edge-disjoint paths on directed acyclic graphs A Slivkins SIAM Journal on Discrete Mathematics 24 (1), 146-157, 2010	98*	2010

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