Mingzhang Yin

Mingzhang Yin

Assistant Professor

(352) 273-3274

Email

Bio

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 All years

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

Courses Taught Last 3 years

  • Marketing Analytics 2 (MAR6669)

Professional Service Last 5 years

  • 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

Conference Proceeding Publications Last 5 years

  • Probabilistic Conformal Prediction Using Conditional Random Samples
    Status: Published
    Published Year: 2023
    Authors: Mingzhang Yin, Zhendong Wang, Ruijiang Gao, David Blei, Mingyuan Zhou
  • Partial Identification with Noisy Covariates: A Robust Optimization Approach
    Status: Published
    Published Year: 2022
    Author: Mingzhang Yin
  • A Theoretical Case Study of Structured Variational Inference for Community Detection
    Status: Published
    Published Year: 2020
    Author: Mingzhang Yin
  • Discrete Action On-Policy Learning with Action-Value Critic
    Status: Published
    Published Year: 2020
    Author: Mingzhang Yin
  • Meta-Learning without Memorization
    Status: Published
    Published Year: 2020
    Author: Mingzhang Yin
  • Pairwise Supervised Hashing with Bernoulli Variational Auto-Encoder and Self-Control Gradient Estimator
    Status: Published
    Published Year: 2020
    Author: Mingzhang Yin
  • ARSM: AugmentREINFORCE-Swap-Merge Estimator for Gradient Backpropagation Through Categorical Variables
    Status: Published
    Published Year: 2019
    Author: Mingzhang Yin
  • ARM: Augment-REINFORCE-Merge Gradient for Stochastic Binary Networks
    Status: Published
    Published Year: 2019
    Author: Mingzhang Yin

Journal Article Publications Last 5 years

  • 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 And Other Resources

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

(352) 273-3274

Email