Publication

Selected Works

Optimization-Based Causal Estimation from Heterogeneous Environments
Mingzhang Yin, Yixin Wang, David M. Blei
Journal of Machine Learning Research (JMLR). pdf, code, slides, SlidesLive

Meta-Learning without Memorization
Mingzhang Yin, George Tucker, Mingyuan Zhou, Sergey Levine, Chelsea Finn
International Conference on Learning Representations (ICLR), Spotlight, Top 5%. Short version in Meta-Learning Workshop, (NeurIPS MetaLearn). pdf, blog, code, poster, slides1, talk1, slides2, talk2

Semi-Implicit Variational Inference
Mingzhang Yin, Mingyuan Zhou
International Conference on Machine Learning (ICML), Long talk. pdf, slides, poster, code and talk

Conformal Sensitivity Analysis for Individual Treatment Effects
Mingzhang Yin, Claudia Shi, Yixin Wang, David M. Blei
Journal of the American Statistical Association (JASA). pdf, code, slides

Other Publications

SEL-BALD: Deep Bayesian Active Learning for Selective Labeling with Instance Rejection
Ruijiang Gao, Mingzhang Yin, Maytal Saar-Tsechansky
Advances in Neural Information Processing Systems (NeurIPS). pdf, code

Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation
Mingyuan Zhou, Huangjie Zheng, Zhendong Wang, Mingzhang Yin, Hai Huang
International Conference on Machine Learning (ICML). pdf, code

Adjusting Regression Models for Conditional Uncertainty Calibration
Ruijiang Gao, Mingzhang Yin, James Mcinerney, Nathan Kallus
Machine Learning Journal (MLJ). pdf, code

Gradient Estimation for Binary Latent Variables via Gradient Variance Clipping
Russell Z Kunes, Mingzhang Yin, Max Land, Doron Haviv, Dana Pe’er, Simon Tavaré
AAAI Conference on Artificial Intelligence (AAAI). pdf, code

Probabilistic Conformal Prediction Using Conditional Random Samples
Zhendong Wang*, Ruijiang Gao*, Mingzhang Yin* , Mingyuan Zhou, David M. Blei
International Conference on Artificial Intelligence and Statistics (AISTATS). Short version accepted by ICML 2022 Workshop DFUQ, Spotlight. pdf, code

Generalized Synthetic Control Method with State-Space Model
Junzhe Shao, Mingzhang Yin, Xiaoxuan Cai, Linda Valeri
Accepted by Workshop on Causality for Real-world Impact, NeurIPS 2022. pdf

Partial Identification with Noisy Covariates: A Robust Optimization Approach
Wenshuo Guo, Mingzhang Yin, Yixin Wang, Michael I. Jordan
Causal Learning and Reasoning (CLeaR). pdf, code

A Theoretical Case Study of Structured Variational Inference for Community Detection
Mingzhang Yin, Y. X. Rachel Wang, Purnamrita Sarkar
International Conference on Artificial Intelligence and Statistics (AISTATS). pdf, slides, code

Probabilistic Best Subset Selection via Gradient-Based Optimization
Mingzhang Yin, Nhat Ho, Bowei Yan, Xiaoning Qian, Mingyuan Zhou
Under review. pdf, code

ARSM: Augment-REINFORCE-Swap-Merge Estimator for Gradient Backpropagation Through Categorical Variables
Mingzhang Yin* , Yuguang Yue*, Mingyuan Zhou
International Conference on Machine Learning (ICML). pdf, errata, code

Discrete Action On-Policy Learning with Action-Value Critic
Yuguang Yue, Yunhao Tang, Mingzhang Yin and Mingyuan Zhou
International Conference on Artificial Intelligence and Statistics (AISTATS). pdf, code

ARM: Augment-REINFORCE-Merge Gradient for Stochastic Binary Networks
Mingzhang Yin, Mingyuan Zhou
International Conference on Learning Representations (ICLR), Top 10%. pdf, code and slides

Semi-Implicit Generative Model
Mingzhang Yin, Mingyuan Zhou
Workshop on Bayesian Deep Learning, (NeurIPS BDL). pdf and poster

Pairwise Supervised Hashing with Bernoulli Variational Auto-Encoder and Self-Control Gradient Estimator
Siamak Zamani Dadaneh, Shahin Boluki, Mingzhang Yin, Mingyuan Zhou, Xiaoning Qian
The Conference on Uncertainty in Artificial Intelligence (UAI). pdf, code

Convergence of Gradient EM on Multi-component Mixture of Gaussians
Bowei Yan, Mingzhang Yin, and Purnamrita Sarkar
Advances in Neural Information Processing Systems (NeurIPS). pdf, code and poster

*=equal contribution