دنبال کردن
Aleksandrs Slivkins
Aleksandrs Slivkins
Senior Principal Researcher, Microsoft Research NYC
ایمیل تأیید شده در microsoft.com - صفحهٔ اصلی
عنوان
نقل شده توسط
نقل شده توسط
سال
Introduction to multi-armed bandits‏
A Slivkins‏
Foundations and Trends in Machine Learning 12 (1-2), 1-286, 2019‏
12902019
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
5822005
Bandits with knapsacks‏
A Badanidiyuru, R Kleinberg, A Slivkins‏
Journal of the ACM (JACM) 65 (3), 13, 2018‏
5442018
Contextual bandits with similarity information‏
A Slivkins‏
The Journal of Machine Learning Research 15 (1), 2533-2568, 2014‏
4972014
The best of both worlds: stochastic and adversarial bandits‏
S Bubeck, A Slivkins‏
Conference on Learning Theory, 42.1-42.23, 2012‏
2842012
Triangulation and embedding using small sets of beacons‏
J Kleinberg, A Slivkins, T Wexler‏
Journal of the ACM (JACM) 56 (6), 32, 2009‏
233*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
2232015
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
2102015
Characterizing truthful multi-armed bandit mechanisms‏
M Babaioff, Y Sharma, A Slivkins‏
SIAM Journal on Computing 43 (1), 194-230, 2014‏
201*2014
One practical algorithm for both stochastic and adversarial bandits‏
Y Seldin, A Slivkins‏
International Conference on Machine Learning, 1287-1295, 2014‏
1962014
Bayesian incentive-compatible bandit exploration‏
Y Mansour, A Slivkins, V Syrgkanis‏
Operations Research 68 (4), 1132-1161, 2020‏
182*2020
Adapting to a Changing Environment: the Brownian Restless Bandits.‏
A Slivkins, E Upfal‏
COLT, 343-354, 2008‏
1812008
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
164*2016
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
164*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
1592016
Resourceful contextual bandits‏
A Badanidiyuru, J Langford, A Slivkins‏
Conference on Learning Theory, 1109-1134, 2014‏
1512014
Distance estimation and object location via rings of neighbors‏
A Slivkins‏
Distributed Computing 19 (4), 313-333, 2007‏
1472007
Adversarial Bandits with Knapsacks‏
N Immorlica, K Sankararaman, R Schapire, A Slivkins‏
Journal of the ACM 69 (6), 1-47, 2022‏
1392022
Bayesian exploration: Incentivizing exploration in Bayesian games‏
Y Mansour, A Slivkins, V Syrgkanis, ZS Wu‏
Operations Research 70 (2), 1105-1127, 2022‏
136*2022
سیستم در حال حاضر قادر به انجام عملکرد نیست. بعداً دوباره امتحان کنید.
مقاله‌ها 1–20