| 2025 | AAAI | Confounding-Robust Deferral Policy Learning. | Ruijiang Gao, Mingzhang Yin |
| 2025 | EMNLP | Permutative Preference Alignment from Listwise Ranking of Human Judgments. | Yang Zhao, Yixin Wang, Mingzhang Yin |
| 2024 | ICML | Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation. | Mingyuan Zhou, Huangjie Zheng, Zhendong Wang, Mingzhang Yin, Hai Huang |
| 2023 | AAAI | Gradient Estimation for Binary Latent Variables via Gradient Variance Clipping. | Russell Z. Kunes, Mingzhang Yin, Max Land, Doron Haviv, Dana Pe'er, Simon Tavar |
| 2023 | AISTATS | Probabilistic Conformal Prediction Using Conditional Random Samples. | Zhendong Wang, Ruijiang Gao, Mingzhang Yin, Mingyuan Zhou, David M. Blei |
| 2020 | AISTATS | A Theoretical Case Study of Structured Variational Inference for Community Detection. | Mingzhang Yin, Y. X. Rachel Wang, Purnamrita Sarkar |
| 2020 | AISTATS | Discrete Action On-Policy Learning with Action-Value Critic. | Yuguang Yue, Yunhao Tang, Mingzhang Yin, Mingyuan Zhou |
| 2020 | ICLR | Meta-Learning without Memorization. | Mingzhang Yin, George Tucker, Mingyuan Zhou, Sergey Levine, Chelsea Finn |
| 2020 | UAI | Pairwise Supervised Hashing with Bernoulli Variational Auto-Encoder and Self-Control Gradient Estimator. | Siamak Zamani Dadaneh, Shahin Boluki, Mingzhang Yin, Mingyuan Zhou, Xiaoning Qian |
| 2019 | ICLR | ARM: Augment-REINFORCE-Merge Gradient for Stochastic Binary Networks. | Mingzhang Yin, Mingyuan Zhou |
| 2019 | ICML | ARSM: Augment-REINFORCE-Swap-Merge Estimator for Gradient Backpropagation Through Categorical Variables. | Mingzhang Yin, Yuguang Yue, Mingyuan Zhou |
| 2018 | ICML | Semi-Implicit Variational Inference. | Mingzhang Yin, Mingyuan Zhou |