Accepted Papers

The papers to be presented at the workshop:

• Omer Ben-Porat and Moshe Tennenholtz. A Game-Theoretic Approach to Recommendation Systems with Strategic Content Providers.
• Naman Goel and Boi Faltings. Deep Bayesian Trust : A Dominant Strategy and Fair Reward Mechanism for Crowdsourcing.
• Naman Goel and Boi Faltings. Personalized Peer Truth Serum for Crowdsourcing Multi-Attribute Personal Data.
• Vijay Kamble, David Marn, Nihar Shah, Abhay Parekh and Kannan Ramchandran. A Truth Serum for Large-Scale Evaluations.
• David Dao, Dan Alistarh, Claudiu Musat and Ce Zhang. DataBright: A Data Curation Platform for Machine Learning based on Markets and Trusted Computation.
• Xiaowen Gong. Incentivizing Quality-based Data Crowdsourcing.
• Chen Hajaj and Yevgeniy Vorobeychik. Adversarial Task Assignment.