Yin, Mingzhang
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.
Expertise And Interest Areas
Education All years
- PhD - Statistics, The University of Texas at Austin, 2020
- BSc - Mathematics and Applied Mathematics, Fudan University, 2015
News All Articles
- 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: PublishedPublished Year: 2023Authors: Mingzhang Yin, Zhendong Wang, Ruijiang Gao, David Blei, Mingyuan Zhou
-
Partial Identification with Noisy Covariates: A Robust Optimization Approach
Status: PublishedPublished Year: 2022Author: Mingzhang Yin
-
A Theoretical Case Study of Structured Variational Inference for Community Detection
Status: PublishedPublished Year: 2020Author: Mingzhang Yin
-
Discrete Action On-Policy Learning with Action-Value Critic
Status: PublishedPublished Year: 2020Author: Mingzhang Yin
-
Meta-Learning without Memorization
Status: PublishedPublished Year: 2020Author: Mingzhang Yin
-
Pairwise Supervised Hashing with Bernoulli Variational Auto-Encoder and Self-Control Gradient Estimator
Status: PublishedPublished Year: 2020Author: Mingzhang Yin
-
ARSM: AugmentREINFORCE-Swap-Merge Estimator for Gradient Backpropagation Through Categorical Variables
Status: PublishedPublished Year: 2019Author: Mingzhang Yin
-
ARM: Augment-REINFORCE-Merge Gradient for Stochastic Binary Networks
Status: PublishedPublished Year: 2019Author: Mingzhang Yin
Journal Article Publications Last 5 years
-
Optimization-based Causal Estimation from Heterogenous Environments
Status: AcceptedAccepted Year: 2024Authors: Mingzhang Yin, Yixin Wang, David Blei
-
Unraveling Multifaceted User Preferences on Content Platforms: A Bayesian Deep Learning Approach
Status: Working PaperAuthors: Mingzhang Yin, Ziwei Cong, Jia Liu
-
Nonparametric Discrete Choice Experiments with Machine Learning Guided Adaptive Design
Status: AcceptedPublished Year: 2023Authors: Mingzhang Yin, Ruijiang Gao, Weiran Lin, Steven Shugan
-
Gradient Estimation for Binary Latent Variables via Gradient Variance Clipping
Status: PublishedJournal: Proceedings of the AAAI Conference on Artificial IntelligencePublished Year: 2023Authors: Russell Kunes, Mingzhang Yin, Max Land, Doron Haviv, Dana Pe’er, Simon Tavare
-
Conformal Sensitivity Analysis for Individual Treatment Effects
Status: PublishedJournal: Journal of the American Statistical AssociationPublished Year: 2022Authors: 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