Assistant Professor, Massachusetts Institute of Technology
2 papers at NeurIPS 2025
This work studies the problem of designing classifiers that can incentivize strategic agents to exert effort in desirable features even when they have incomplete information about the classifier or the causal graph.
contextual dynamic pricing with heterogenous buyers using optimistic posterior sampling
