Mingzhang Yin

According to our database, Mingzhang Yin authored at least 23 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Optimization-based Causal Estimation from Heterogeneous Environments.

Mingzhang Yin, Yixin Wang, David M. Blei

J. Mach. Learn. Res., 2024

Ordinal Preference Optimization: Aligning Human Preferences via NDCG.

Yang Zhao, Yixin Wang, Mingzhang Yin

CoRR, 2024

Adjusting Regression Models for Conditional Uncertainty Calibration.

Ruijiang Gao, Mingzhang Yin, James McInerney, Nathan Kallus

CoRR, 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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Nonparametric Discrete Choice Experiments with Machine Learning Guided Adaptive Design.

Mingzhang Yin, Ruijiang Gao, Weiran Lin, Steven M. Shugan

CoRR, 2023

Confounding-Robust Policy Improvement with Human-AI Teams.

Ruijiang Gao, Mingzhang Yin

CoRR, 2023

Probabilistic Conformal Prediction Using Conditional Random Samples.

Zhendong Wang, Ruijiang Gao, Mingzhang Yin, Mingyuan Zhou, David M. Blei

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Gradient Estimation for Binary Latent Variables via Gradient Variance Clipping.

Russell Z. Kunes, Mingzhang Yin, Max Land, Doron Haviv, Dana Pe'er, Simon Tavaré

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Partial Identification with Noisy Covariates: A Robust Optimization Approach.

Wenshuo Guo, Mingzhang Yin, Yixin Wang, Michael I. Jordan

Proceedings of the 1st Conference on Causal Learning and Reasoning, 2022

2021

Optimization-based Causal Estimation from Heterogenous Environments.

Mingzhang Yin, Yixin Wang, David M. Blei

CoRR, 2021

2020

Discrete Action On-Policy Learning with Action-Value Critic.

Yuguang Yue, Yunhao Tang, Mingzhang Yin, Mingyuan Yin

CoRR, 2020

Pairwise Supervised Hashing with Bernoulli Variational Auto-Encoder and Self-Control Gradient Estimator.

Siamak Zamani Dadaneh, Shahin Boluki, Mingzhang Yin, Mingyuan Zhou, Xiaoning Qian

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Meta-Learning without Memorization.

Mingzhang Yin, George Tucker, Mingyuan Zhou, Sergey Levine, Chelsea Finn

Proceedings of the 8th International Conference on Learning Representations, 2020

Discrete Action On-Policy Learning with Action-Value Critic.

Yuguang Yue, Yunhao Tang, Mingzhang Yin, Mingyuan Zhou

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

A Theoretical Case Study of Structured Variational Inference for Community Detection.

Mingzhang Yin, Y. X. Rachel Wang, Purnamrita Sarkar

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Semi-Implicit Generative Model.

Mingzhang Yin, Mingyuan Zhou

CoRR, 2019

Augment-Reinforce-Merge Policy Gradient for Binary Stochastic Policy.

Yunhao Tang, Mingzhang Yin, Mingyuan Zhou

CoRR, 2019

ARSM: Augment-REINFORCE-Swap-Merge Estimator for Gradient Backpropagation Through Categorical Variables.

Mingzhang Yin, Yuguang Yue, Mingyuan Zhou

Proceedings of the 36th International Conference on Machine Learning, 2019

ARM: Augment-REINFORCE-Merge Gradient for Stochastic Binary Networks.

Mingzhang Yin, Mingyuan Zhou

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

ARM: Augment-REINFORCE-Merge Gradient for Discrete Latent Variable Models.

Mingzhang Yin, Mingyuan Zhou

CoRR, 2018

Semi-Implicit Variational Inference.

Mingzhang Yin, Mingyuan Zhou

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Statistical Convergence Analysis of Gradient EM on General Gaussian Mixture Models.

Bowei Yan, Mingzhang Yin, Purnamrita Sarkar

CoRR, 2017

Convergence of Gradient EM on Multi-component Mixture of Gaussians.

Bowei Yan, Mingzhang Yin, Purnamrita Sarkar

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017