8:30 - 8:35: Opening Remarks
8:35 - 9:20: Keynote 1 -- Jon Kleinberg: Choice Reduction and Biased Decision-Makers
9:20 - 9:45: Bandit Learning with Biased Human Feedback (Wei Tang and Chien-Ju Ho) [pdf]
9:45 - 10:10: Modeling the Interpretation of Visualized Statistics as Bayesian Cognition (Yea Seul Kim, Logan Walls, Peter Krafft and Jessica Hullman) [pdf]
10:10 - 11:10: Poster Session (see below)
11:10 - 11:20: Coffee Break
11:20 - 12:30: Keynote FCRC [link]
12:30 - 14:00: Lunch
14:00 - 14:25: A Formal Separation Between Strategic and Nonstrategic Behavior (James Wright and Kevin Leyton-Brown) [pdf]
14:25 - 14:50: Predicting human decisions with behavioral theories and machine learning (Ori Plonsky, Reut Apel, Eyal Ert, Moshe Tennenholtz, David Bourgin, Joshua Peterson, Daniel Reichman, Thomas Griffiths, Stuart Russell, Evan Carter, James Cavanagh and Ido Erev ) [pdf]
14:50 - 15:15: Learning Preferences in a Cognitive Model of Deliberation (Taher Rahgooy and K. Brent Venable) [pdf]
15:20 - 15:55: Coffee Break
15:55 - 16:20: A General Framework for Endowment Effects in Combinatorial Markets (Tomer Ezra, Michal Feldman and Ophir Friedler) [pdf]
16:20 - 16:45: Bayesian Instinct (Etan Green and David Daniels) [pdf]
16:45 - 17:30: Keynote 2 -- Colin F. Camerer: Computation in Behavioral Economics, in the Golden Age of Social Science
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