For more information on my research interests, see my Curriculum Vitae and Research Statement.
PublicationsAdaptive Learning with Robust Generalization Guarantees, with Katrina Ligett, Kobbi Nissim, Aaron Roth, and Zhiwei Steven Wu. COLT '16.
The Possibilities and Limitations of Private Prediction Markets, with David Pennock and Jennifer Wortman Vaughan. EC '16.
The Strange Case of Privacy in Equilibrium Models, with Katrina Ligett, Mallesh Pai, and Aaron Roth. EC '16.
Coordination Complexity: Small Information Coordinating Large Populations, with Katrina Ligett, Jaikumar Radhakrishnan, Aaron Roth, and Zhiwei Steven Wu. ITCS '16.
Truthful Linear Regression, with Stratis Ioannidis and Katrina Ligett. COLT '15.
Accuracy for Sale: Aggregating Data with a Variance Constraint, with Katrina Ligett, Aaron Roth, Zhiwei Steven Wu, and Juba Ziani. ITCS '15.
Privacy and Truthful Equilibrium Selection for Aggregative Games, with Michael Kearns, Aaron Roth, and Zhiwei Steven Wu. WINE '15.
Online Learning and Profit Maximization from Revealed Preferences, with Kareem Amin, Lili Dworkin, Michael Kearns, and Aaron Roth. AAAI '15.
Probability 1 Computation with Chemical Reaction Networks, with Dave Doty and David Soloveichik. DNA '14.
Journal verion: Natural Computing 2015.
The Empirical Implications of Privacy-Aware Choice, with Federico Echenique and Adam Wierman. EC '14.
Journal version: Operations Research, 2016.
Speed Faults in Computation by Chemical Reaction Networks, with Ho-Lin Chen, Dave Doty, and David Soloveichik. DISC '14. Best paper award
Journal version: Distributed Computing, 2015.
Influence Maximization in Social Networks When Negative Opinions May Emerge and Propagate, with Wei Chen, Alex Collins, Te Ke, Zhenming Liu, David Rincon, Xiaorui Sun, Yajun Wang, Wei Wei, and Yifei Yuan. SDM'11.