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Mingzhang Yin

Assistant Professor

(352) 273-3274

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About

Mingzhang Yin is an Assistant Professor of Marketing at the Warrington College of Business of University of Florida. His primary research interests are in the intersection of quantitative marketing, Bayesian statistics, probabilistic machine learning, and causal inference. He develops methodologies for probabilistic models, approximate Bayesian inference, and observational studies. He explores marketing applications in online advertisement, personalization, E-commerce and data-driven consumer analysis.

Education

  • PhD - Statistics, The University of Texas at Austin, 2020
  • BSc - Mathematics and Applied Mathematics, Fudan University, 2015

Research Interests

  • Probabilistic machine learning
  • Marketing Analytics
  • Unstructured data in E-commerce
  • Bayesian Methods
  • Causal Inference
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In The News

  • Meet Warrington’s new faculty for 2022 September 2, 2022 The Warrington College of Business is proud to welcome 11 new faculty members to campus in the 2022-2023 academic year. Learn more about the...
Last 3 years

Courses Taught

  • Marketing Analytics 2 (MAR6669)
Last 5 years

Professional Service

  • Associate Editor, Artificial Intelligence and Statistics Conference — 2023 to 2024
  • Book/Textbook Reviewer/Referee, Journal of Machine Learning Research — 2023 to 2024
  • Book/Textbook Reviewer/Referee, Annals of Applied Statistics — 2023
  • Book/Textbook Reviewer/Referee, Conference on Neural Information Processing Systems — 2023
  • Session Chair, International Chinese Statistical Association — 2023
Last 5 years

Conference Proceeding Publications

Last 5 years

Journal Article Publications

  • Optimization-based Causal Estimation from Heterogenous Environments
    Status: Accepted
    Accepted Year: 2024
    Authors: Mingzhang Yin, Yixin Wang, David Blei
  • Unraveling Multifaceted User Preferences on Content Platforms: A Bayesian Deep Learning Approach
    Status: Working Paper
    Authors: Mingzhang Yin, Ziwei Cong, Jia Liu
  • Nonparametric Discrete Choice Experiments with Machine Learning Guided Adaptive Design
    Status: Accepted
    Published Year: 2023
    Authors: Mingzhang Yin, Ruijiang Gao, Weiran Lin, Steven Shugan
  • Gradient Estimation for Binary Latent Variables via Gradient Variance Clipping
    Status: Published
    Journal: Proceedings of the AAAI Conference on Artificial Intelligence
    Published Year: 2023
    Authors: Russell Kunes, Mingzhang Yin, Max Land, Doron Haviv, Dana Pe’er, Simon Tavare
  • Conformal Sensitivity Analysis for Individual Treatment Effects
    Status: Published
    Journal: Journal of the American Statistical Association
    Published Year: 2022
    Authors: Mingzhang Yin, Yixin Wang, David Blei

Contact Details

University of Florida
Warrington College of Business
Marketing Department
Stuzin Hall 260

(352) 273-3274

Email

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