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个人简介
My main research interests are in algorithmic learning theory, as well as the implications of learning for societal concerns like fairness and privacy, and to markets and strategic interactions. I am also interested in the interaction of computer science and economics more broadly, especially in the areas of algorithmic game theory and mechanism design. I am particularly interested in exploring these questions in dynamic contexts and in relation to reinforcement learning.
研究兴趣
论文共 12 篇作者统计合作学者相似作者
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ACM Conference on Fairness, Accountability and Transparency (FAccT)pp.1479-1503, (2022)
FAT* '20: PROCEEDINGS OF THE 2020 CONFERENCE ON FAIRNESS, ACCOUNTABILITY, AND TRANSPARENCYpp.669-679, (2020)
ACM EC '19: PROCEEDINGS OF THE 2019 ACM CONFERENCE ON ECONOMICS AND COMPUTATION (2019): 845-863
PROCEEDINGS OF THE TWENTY-EIGHTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (2019): 252-258
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