Convergence of Gradient EM on Multi-component Mixture of Gaussians
Bowei Yan, Mingzhang Yin, Purnamrita Sarkar
Conference on Neural Information Processing Systems (NeurIPS), 2017. pdf, code, poster
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
ARM: Augment-REINFORCE-Merge Gradient for Stochastic Binary Networks
Mingzhang Yin, Mingyuan Zhou
International Conference on Learning Representations (ICLR), Top 10%, 2019. pdf, code, slides
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), 2020. pdf, slides
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
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), 2022.
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
SEL-BALD: Deep Bayesian Active Learning with Selective Labels
Ruijiang Gao, Mingzhang Yin, Maytal Saar-Tsechansky
Conference on Neural Information Processing Systems (NeurIPS), 2024.
Scalable Variational Inference for Probabilistic Boolean Matrix Factorization with Unknown Latent Dimension
Russell Zhang Kunes, Mingzhang Yin, Yuqi Gu
In Submission.
Relaxation of Projected Prior with Continuous Gap Shrinkage
Leo L Duan, Sunghyun Cho, Mingzhang Yin
arXiv 2605.14936, In Submission.
Bayesian Invariance Modeling of Multi-Environment Data
Luhuan Wu, Mingzhang Yin, Yixin Wang, John Patrick Cunningham, David Blei
In Submission.
