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Invited Talk 9: Building Compliant Models: Fair Feature Selection with Multiobjective Monte Carlo Tree Search
Jiahao Chen
Author Information
Jiahao Chen (JPMorgan Chase & Co.)
Jiahao Chen is a data science manager working in Capital One New York specializing in emerging technologies and university partnerships. He is currently the lead for the Banking in Explainable Algorithms Research (BEAR) group, focusing on FATES-related machine learning topics and their relation with banking regulations surrounding fair lending and explainability of credit decisioning to customers and regulators. Prior to joining Capital One in 2017, Jiahao was a Research Scientist at MIT CSAIL leading the Julia Lab, focusing on applications of the Julia programming language to various scientific data science problems and challenges in parallel computing and scientific computing.
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2021 Poster: Are My Deep Learning Systems Fair? An Empirical Study of Fixed-Seed Training »
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2019 Workshop: Robust AI in Financial Services: Data, Fairness, Explainability, Trustworthiness, and Privacy »
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2019 : Opening Remarks »
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2018 : Panel: Explainability, Fairness and Human Aspects in Financial Services »
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2018 Workshop: Challenges and Opportunities for AI in Financial Services: the Impact of Fairness, Explainability, Accuracy, and Privacy »
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