Publication

  • “Un”Fair Machine Learning Algorithms (with Manmohan Aseri, Param Vir Singh, and Kannan Srinivasan). Management Science, 2022.

  • Crowds, Lending, Machine, and Bias (with Yan Huang and Param Vir Singh). Information Systems Research, 2021.

  • AI and Algorithmic Bias: Source, Detection, Mitigation and Implications (with Yan Huang and Param Vir Singh). INFORMS Tutorials in Operations Research, 2020.

 

Working Papers

  • Does Human-algorithm Feedback Loop Lead To Error Propagation? Evidence from Zillow’s Zestimate (with Meng Liu and Ginger Jin). Under 2nd Round Review

  • Unequal Impact of Zestimate on the Housing Market (with Yan Huang, Nitin Mehta, Param Virg Singh, and Kannan Srinivasan). Under Revision

  • (De)biased Machine Learning Algorithm in Matching (with Yunchuan Liu).

  • Why Does My Zestimate Fluctuate? Algorithmic Pricing and Ad Revenue Incentives (with Nikhil Malik)

  • Algorithm Failures and Consumers Response: Evidence from Zillow.com (with Nikhil Malik, Isamar Troncoso, and Davide Proserpio)

  • Model Mis-specification and Algorithmic Bias (with Yangfan Liang and Peter Zhang).

 

SSRN

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