Semi-Implicit Variational Inference
Mingzhang Yin, Mingyuan Zhou
International Conference on Machine Learning (ICML), Long talk, 2018. pdf, slides, poster, code, talk
ARSM: Augment-REINFORCE-Swap-Merge Estimator for Gradient Backpropagation Through Categorical Variables
Mingzhang Yin*, Yuguang Yue*, Mingyuan Zhou
International Conference on Machine Learning (ICML), 2019. pdf, errata
Meta-Learning without Memorization
Mingzhang Yin, George Tucker, Mingyuan Zhou, Sergey Levine, Chelsea Finn
International Conference on Learning Representations (ICLR), Spotlight, Top 6.3%, 2020. pdf, blog, code, poster, slides, talk
Discrete Action On-Policy Learning with Action-Value Critic
Yuguang Yue, Yunhao Tang, Mingzhang Yin, Mingyuan Zhou
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020. pdf
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), 2020. pdf
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), 2023. Short version at DFUQ Workshop, Spotlight, ICML 2022. pdf, code
Adjusting Regression Models for Conditional Uncertainty Calibration
Ruijiang Gao, Mingzhang Yin, James McInerney, Nathan Kallus
Machine Learning, 2024.
SEL-BALD: Deep Bayesian Active Learning with Selective Labels
Ruijiang Gao, Mingzhang Yin, Maytal Saar-Tsechansky
Conference on Neural Information Processing Systems (NeurIPS), 2024.
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), 2024.
Permutative Preference Alignment from Listwise Ranking of Human Judgments
Yang Zhao, Yixin Wang, Mingzhang Yin
Empirical Methods in Natural Language Processing (EMNLP), 2025.
Probabilistic Best Subset Selection via Gradient-Based Optimization
Mingzhang Yin, Nhat Ho, Bowei Yan, Xiaoning Qian, Mingyuan Zhou
arXiv 2006.06448. pdf, code
