Mingzhang Yin

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 27

Top Topics

Policy Gradient

Categorical Variables

Gaussian Mixture

Top Venues

Publications

Mingyuan Zhou, Huangjie Zheng, Zhendong Wang, Mingzhang Yin, Hai Huang
Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation. CoRR (2024)
Mingzhang Yin, Ruijiang Gao, Weiran Lin, Steven M. Shugan
Nonparametric Discrete Choice Experiments with Machine Learning Guided Adaptive Design. CoRR (2023)
Ruijiang Gao, Mingzhang Yin
Confounding-Robust Policy Improvement with Human-AI Teams. CoRR (2023)
Zhendong Wang, Ruijiang Gao, Mingzhang Yin, Mingyuan Zhou, David M. Blei
Probabilistic Conformal Prediction Using Conditional Random Samples. AISTATS (2023)
Russell Z. Kunes, Mingzhang Yin, Max Land, Doron Haviv, Dana Pe'er, Simon Tavaré
Gradient Estimation for Binary Latent Variables via Gradient Variance Clipping. AAAI (2023)
Russell Z. Kunes, Mingzhang Yin, Max Land, Doron Haviv, Dana Pe'er, Simon Tavaré
Gradient Estimation for Binary Latent Variables via Gradient Variance Clipping. CoRR (2022)
Wenshuo Guo, Mingzhang Yin, Yixin Wang, Michael I. Jordan
Partial Identification with Noisy Covariates: A Robust Optimization Approach. CoRR (2022)
Zhendong Wang, Ruijiang Gao, Mingzhang Yin, Mingyuan Zhou, David M. Blei
Probabilistic Conformal Prediction Using Conditional Random Samples. CoRR (2022)
Wenshuo Guo, Mingzhang Yin, Yixin Wang, Michael I. Jordan
Partial Identification with Noisy Covariates: A Robust Optimization Approach. CLeaR (2022)
Mingzhang Yin, Yixin Wang, David M. Blei
Optimization-based Causal Estimation from Heterogenous Environments. CoRR (2021)
Yuguang Yue, Yunhao Tang, Mingzhang Yin, Mingyuan Yin
Discrete Action On-Policy Learning with Action-Value Critic. CoRR (2020)
Mingzhang Yin, George Tucker, Mingyuan Zhou, Sergey Levine, Chelsea Finn
Meta-Learning without Memorization. ICLR (2020)
Yuguang Yue, Yunhao Tang, Mingzhang Yin, Mingyuan Zhou
Discrete Action On-Policy Learning with Action-Value Critic. AISTATS (2020)
Mingzhang Yin, Y. X. Rachel Wang, Purnamrita Sarkar
A Theoretical Case Study of Structured Variational Inference for Community Detection. AISTATS (2020)
Siamak Zamani Dadaneh, Shahin Boluki, Mingzhang Yin, Mingyuan Zhou, Xiaoning Qian
Pairwise Supervised Hashing with Bernoulli Variational Auto-Encoder and Self-Control Gradient Estimator. UAI (2020)
Siamak Zamani Dadaneh, Shahin Boluki, Mingzhang Yin, Mingyuan Zhou, Xiaoning Qian
Pairwise Supervised Hashing with Bernoulli Variational Auto-Encoder and Self-Control Gradient Estimator. CoRR (2020)
Mingzhang Yin, Yuguang Yue, Mingyuan Zhou
ARSM: Augment-REINFORCE-Swap-Merge Estimator for Gradient Backpropagation Through Categorical Variables. CoRR (2019)
Mingzhang Yin, Mingyuan Zhou
ARM: Augment-REINFORCE-Merge Gradient for Stochastic Binary Networks. ICLR (Poster) (2019)
Yunhao Tang, Mingzhang Yin, Mingyuan Zhou
Augment-Reinforce-Merge Policy Gradient for Binary Stochastic Policy. CoRR (2019)
Mingzhang Yin, Mingyuan Zhou
Semi-Implicit Generative Model. CoRR (2019)
Mingzhang Yin, George Tucker, Mingyuan Zhou, Sergey Levine, Chelsea Finn
Meta-Learning without Memorization. CoRR (2019)
Mingzhang Yin, Yuguang Yue, Mingyuan Zhou
ARSM: Augment-REINFORCE-Swap-Merge Estimator for Gradient Backpropagation Through Categorical Variables. ICML (2019)
Mingzhang Yin, Mingyuan Zhou
Semi-Implicit Variational Inference. CoRR (2018)
Mingzhang Yin, Mingyuan Zhou
ARM: Augment-REINFORCE-Merge Gradient for Discrete Latent Variable Models. CoRR (2018)
Mingzhang Yin, Mingyuan Zhou
Semi-Implicit Variational Inference. ICML (2018)
Bowei Yan, Mingzhang Yin, Purnamrita Sarkar
Statistical Convergence Analysis of Gradient EM on General Gaussian Mixture Models. CoRR (2017)
Bowei Yan, Mingzhang Yin, Purnamrita Sarkar
Convergence of Gradient EM on Multi-component Mixture of Gaussians. NIPS (2017)