Research

Working Papers

Robust Online Learning with Private Information

Testing the Fairness-Accuracy Improvability of Algorithms
with Eric Auerbach, Annie Liang, and Max Tabord-Meehan

Evaluating the Efficiency of Regulation in Matching Markets with Distributional Disparities new draft coming soon
with Kei Ikegami, Atsushi Iwasaki, and Akira Matsushita
     extended abstract at EC’25

An Economic Analysis of Difficulty Adjustment Algorithms in Proof-of-Work Blockchain Systems
[+code] [+talk]
with Shunya Noda and Yoshinori Hashimoto, extended abstract at EC’20
     revision invited at International Economic Review

Accepted and Published Papers

Algorithm Design: A Fairness-Accuracy Frontier
with Annie Liang, Jay Lu, and Xiaosheng Mu
     accepted at Journal of Political Economy

Counterfactual Learning with General Data-generating Policies
with Yusuke Narita, Kohei Yata, and Akihiro Shimizu
The 37th AAAI Conference on Artificial Intelligence (AAAI-2023), 2023.

A Simple, Fast, and Safe Mediator for Congestion Management
with Kei Ikegami and Takumi Yoshikawa
The 34th AAAI Conference on Artificial Intelligence (AAAI-2020), 2020.