Mingzhang Yin

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

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Mingzhang Yin is an Assistant Professor of Marketing at the Warrington College of Business at the University of Florida. His primary research focuses on the areas of probabilistic machine learning, Bayesian methods, causal inference, with a focus on applications in online marketing, advertising, user generated content, and data-driven consumer analysis. 

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

• Warrington professor Tao Li appointed Research Member at prestigious corporate governance institution — March 3, 2025 — Tao Li, Ph.D., the Bank of America Associate Professor of Finance at the University of Florida Warrington College of Business, was recently...
• University of Florida Warrington College of Business class of 2023-2024 excel in job market with high starting salaries — March 3, 2025 — University of Florida Warrington College of Business students who graduated during the 2023-2024 academic year (summer and fall of 2023 and...
• Corporate Partnerships: CSX — March 3, 2025 — CSX is one of the most recognizable names in the rail industry, with its history dating back to 1827. In addition to giving $10 million to s...
• Business Gators awarded at the National Retail Federation Foundation student program — February 28, 2025 — The National Retail Federation Foundation student program in New York City stands out as a premier opportunity for college students aspiring...
• Gary McGill named President-Elect of the American Accounting Association — February 28, 2025 — Gary McGill, J. Roy Duggan Professor of Accounting, Warrington Senior Associate Dean, and Director of the Fisher School of Accounting and Ho...

• Marketing Analytics 2 (MAR6669)
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• Hye Rin Kim — 2024 — 2025
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• Zhiyu Zhang — 2024 — 2025
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• Associate Editor, Artificial Intelligence and Statistics Conference — 2023 to 2024
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• Book/Textbook Reviewer/Referee, Journal of Machine Learning Research — 2023 to 2024
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• Book/Textbook Reviewer/Referee, Annals of Applied Statistics — 2023
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• Book/Textbook Reviewer/Referee, Conference on Neural Information Processing Systems — 2023
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• Session Chair, International Chinese Statistical Association — 2023
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• Probabilistic Conformal Prediction Using Conditional Random Samples
  Status: Published
  Published Year: 2023
  Authors: Mingzhang Yin, Zhendong Wang, Ruijiang Gao, David Blei, Mingyuan Zhou
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• Partial Identification with Noisy Covariates: A Robust Optimization Approach
  Status: Published
  Published Year: 2022
  Author: Mingzhang Yin
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• A Theoretical Case Study of Structured Variational Inference for Community Detection
  Status: Published
  Published Year: 2020
  Author: Mingzhang Yin
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• Discrete Action On-Policy Learning with Action-Value Critic
  Status: Published
  Published Year: 2020
  Author: Mingzhang Yin
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• Meta-Learning without Memorization
  Status: Published
  Published Year: 2020
  Author: Mingzhang Yin
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• Pairwise Supervised Hashing with Bernoulli Variational Auto-Encoder and Self-Control Gradient Estimator
  Status: Published
  Published Year: 2020
  Author: Mingzhang Yin
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• Optimization-based Causal Estimation from Heterogenous Environments
  Status: Accepted
  Accepted Year: 2024
  Authors: Mingzhang Yin, Yixin Wang, David Blei
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• Unraveling Multifaceted User Preferences on Content Platforms: A Bayesian Deep Learning Approach
  Status: Working Paper
  Authors: Mingzhang Yin, Ziwei Cong, Jia Liu
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• Nonparametric Discrete Choice Experiments with Machine Learning Guided Adaptive Design
  Status: Accepted
  Published Year: 2023
  Authors: Mingzhang Yin, Ruijiang Gao, Weiran Lin, Steven Shugan
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• 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
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• 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
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