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A Robust UCB scheme for active learning in regression from strategic crowds., , , , and . IJCNN, page 2212-2219. IEEE, (2016)A Truthful Mechanism with Biparameter Learning for Online Crowdsourcing: (Extended Abstract)., , , and . AAMAS, page 1385-1386. ACM, (2016)Multi-Label Classification from Multiple Noisy Sources Using Topic Models., , , and . Information, 8 (2): 52 (2017)An Incentive Compatible Multi-Armed-Bandit Crowdsourcing Mechanism with Quality Assurance., , , , and . CoRR, (2014)Admission Control in the Presence of Arrival Forecasts with Blocking-Based Policy Optimization., , and . WSC, page 2270-2281. IEEE, (2022)A mechanism to optimally balance cost and quality of labeling tasks outsourced to strategic agents., , , , , and . AAMAS, page 917-924. IFAAMAS/ACM, (2014)Dominant strategy truthful, deterministic multi-armed bandit mechanisms with logarithmic regret for sponsored search auctions., , , , and . Appl. Intell., 52 (3): 3209-3226 (2022)A Dominant Strategy Truthful, Deterministic Multi-Armed Bandit Mechanism with Logarithmic Regret., , , , and . AAMAS, page 1667-1669. ACM, (2017)Topic Model Based Multi-Label Classification from the Crowd., , , and . CoRR, (2016)A Truthful Mechanism with Biparameter Learning for Online Crowdsourcing., , , and . CoRR, (2016)