Follow
Aleksandrs Slivkins
Aleksandrs Slivkins
Microsoft Research NYC
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
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
5772005
Bandits and experts in metric spaces
R Kleinberg, A Slivkins, E Upfal
Journal of the ACM (JACM) 66 (4), 30, 2019
485*2019
Introduction to multi-armed bandits
A Slivkins
Foundations and Trends in Machine Learning 12 (1-2), 1-286, 2019
4082019
Contextual bandits with similarity information
A Slivkins
The Journal of Machine Learning Research 15 (1), 2533-2568, 2014
3842014
Bandits with knapsacks
A Badanidiyuru, R Kleinberg, A Slivkins
Journal of the ACM (JACM) 65 (3), 13, 2018
334*2018
Triangulation and embedding using small sets of beacons
J Kleinberg, A Slivkins, T Wexler
Journal of the ACM (JACM) 56 (6), 32, 2009
221*2009
The best of both worlds: stochastic and adversarial bandits
S Bubeck, A Slivkins
Conference on Learning Theory, 42.1-42.23, 2012
1802012
Dynamic pricing with limited supply
M Babaioff, S Dughmi, R Kleinberg, A Slivkins
ACM Transactions on Economics and Computation (TEAC) 3 (1), 4, 2015
1702015
Characterizing truthful multi-armed bandit mechanisms
M Babaioff, Y Sharma, A Slivkins
SIAM Journal on Computing 43 (1), 194-230, 2014
1682014
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
1442015
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
141*2013
Distance estimation and object location via rings of neighbors
A Slivkins
Distributed Computing 19 (4), 313-333, 2007
1392007
Adapting to a Changing Environment: the Brownian Restless Bandits.
A Slivkins, E Upfal
COLT, 343-354, 2008
1302008
One practical algorithm for both stochastic and adversarial bandits
Y Seldin, A Slivkins
International Conference on Machine Learning, 1287-1295, 2014
1242014
Truthful mechanisms with implicit payment computation
M Babaioff, RD Kleinberg, A Slivkins
Journal of the ACM (JACM) 62 (2), 1-37, 2015
1102015
Metric embeddings with relaxed guarantees
THH Chan, K Dhamdhere, A Gupta, J Kleinberg, A Slivkins
SIAM Journal on Computing 38 (6), 2303-2329, 2009
104*2009
Bayesian incentive-compatible bandit exploration
Y Mansour, A Slivkins, V Syrgkanis
Operations Research 68 (4), 1132-1161, 2020
103*2020
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
100*2016
Resourceful contextual bandits
A Badanidiyuru, J Langford, A Slivkins
Conference on Learning Theory, 1109-1134, 2014
972014
Online decision making in crowdsourcing markets: Theoretical challenges
A Slivkins, JW Vaughan
ACM SIGecom Exchanges 12 (2), 4-23, 2013
942013
The system can't perform the operation now. Try again later.
Articles 1–20