ICML ’13 Workshop: Machine Learning Meets CrowdsourcingSchedule08:00-08:30 Set up of posters around the room, leave up all day 08:30-08:35 Welcome 08:35-09:10 Jeffrey P. Bigham ; Crowd Agents: Interactive Crowd-Powered Systems in the Real World 09:15-09:50 Yiling Chen ; Financial Incentives and Crowd Work 09:55-10:00 1.5 min poster lightning Sivan Sabato; Feature Multi-Selection among Subjective Features Hongwei Li; Error Rate Analysis of Labeling by Crowdsourcing Vaibhav Rajan; CrowdControl: An online learning approach for optimal task scheduling in a dynamic crowd platform 10:00-10:30 Coffee, poster presentation (10th floor area D, map) 10:30-11:05 Mark Steyvers ; Aggregating Human Judgments in Combinatorial Problems 11:10-11:16 1.5 min poster lightning Alexey Tarasov; Improving Performance by Re-Rating in the Dynamic Estimation of Rater Reliability Joel Lehman; Leveraging Human Computation Markets for Interactive Evolution Xi Chen; Optimistic Knowledge Gradient for Optimal Budget Allocation in Crowdsourcing Chien-Ju Ho; Adaptive Task Assignment for Crowdsourced Classification 11:16-11:26 Discussion (10 min) 11:26-12:00 Poster Presentation (10th floor area D, map) 12:00-02:00 Lunch 02:00-02:35 Panagiotis G. Ipeirotis ; Rewarding Crowdsourced Workers 02:40-02:50 Adish Singla; Truthful Incentives for Privacy Tradeoff: Mechanisms for Data Gathering in Community Sensing. 02:55-03:05 Jian Peng; Crowdsourcing for structured labeling with applications to protein folding 03:10-03:30 Discussion (20 min) 03:30-04:00 Coffee, Present posters (10th floor area D, map) 04:00-04:35 Edith Law ; Mixed-Expertise Crowdsourcing 04:40-04:50 Michael Wick; Probabilistic Reasoning about Human Edits in Information Integration 04:55-05:30 Wrap-up discussion (35 min) |