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
     revision invited at Journal of Political Economy

Evaluating the Efficiency of Regulation in Matching Markets with Distributional Disparities
with Kei Ikegami, Atsushi Iwasaki, and Akira Matsushita
[+slides(18min)]
     extended abstract at EC’25 (Exemplary Empirics Track Paper)

Accepted and Published Papers

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
     accepted at International Economic Review

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.