A Quality Assuring Multi-armed Bandit Crowdsourcing Mechanism with Incentive Compatible Learning

被引:0
|
作者
Jain, Shweta [1 ]
Gujar, Sujit [2 ]
Zoeter, Onno [3 ]
Narahari, Y. [1 ]
机构
[1] IISc Bangalore, Bengaluru, India
[2] EPFL Lausanne, Lausanne, Switzerland
[3] XRCE Meylan, Meylan, France
关键词
Mechanism Design; Multi-armed Bandit; Crowdsourcing;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We develop a novel multi-armed bandit (MAB) mechanism for the problem of selecting a subset of crowd workers to achieve an assured accuracy for each binary labelling task in a cost optimal way. This problem is challenging because workers have unknown qualities and strategic costs.
引用
收藏
页码:1609 / 1610
页数:2
相关论文
共 50 条
  • [41] Automated Collaborator Selection for Federated Learning with Multi-armed Bandit Agents
    Larsson, Hannes
    Riaz, Hassam
    Ickin, Selim
    PROCEEDINGS OF THE 4TH FLEXNETS WORKSHOP ON FLEXIBLE NETWORKS, ARTIFICIAL INTELLIGENCE SUPPORTED NETWORK FLEXIBILITY AND AGILITY (FLEXNETS'21), 2021, : 44 - 49
  • [42] CONTEXTUAL MULTI-ARMED BANDIT ALGORITHMS FOR PERSONALIZED LEARNING ACTION SELECTION
    Manickam, Indu
    Lan, Andrew S.
    Baraniuk, Richard G.
    2017 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2017, : 6344 - 6348
  • [43] Sustainable Cooperative Coevolution with a Multi-Armed Bandit
    De Rainville, Francois-Michel
    Sebag, Michele
    Gagne, Christian
    Schoenauer, Marc
    Laurendeau, Denis
    GECCO'13: PROCEEDINGS OF THE 2013 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE, 2013, : 1517 - 1524
  • [44] Identifying Outlier Arms in Multi-Armed Bandit
    Zhuang, Honglei
    Wang, Chi
    Wang, Yifan
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 30 (NIPS 2017), 2017, 30
  • [45] Characterizing Truthful Multi-Armed Bandit Mechanisms
    Babaioff, Moshe
    Sharma, Yogeshwer
    Slivkins, Aleksandrs
    10TH ACM CONFERENCE ON ELECTRONIC COMMERCE - EC 2009, 2009, : 79 - 88
  • [46] Robust control of the multi-armed bandit problem
    Caro, Felipe
    Das Gupta, Aparupa
    ANNALS OF OPERATIONS RESEARCH, 2022, 317 (02) : 461 - 480
  • [47] Anytime Algorithms for Multi-Armed Bandit Problems
    Kleinberg, Robert
    PROCEEDINGS OF THE SEVENTHEENTH ANNUAL ACM-SIAM SYMPOSIUM ON DISCRETE ALGORITHMS, 2006, : 928 - 936
  • [48] Achieving Privacy in the Adversarial Multi-Armed Bandit
    Tossou, Aristide C. Y.
    Dimitrakakis, Christos
    THIRTY-FIRST AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2017, : 2653 - 2659
  • [49] Generic Outlier Detection in Multi-Armed Bandit
    Ban, Yikun
    He, Jingrui
    KDD '20: PROCEEDINGS OF THE 26TH ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY & DATA MINING, 2020, : 913 - 923
  • [50] A modern Bayesian look at the multi-armed bandit
    Scott, Steven L.
    APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY, 2010, 26 (06) : 639 - 658