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Yin, Mingzhang
20 publications
ICLRW
2025
Bayesian Invariance Modeling of Multi-Environment Data
Luhuan Wu
,
Mingzhang Yin
,
Yixin Wang
,
John Patrick Cunningham
,
David Blei
AAAI
2025
Confounding-Robust Deferral Policy Learning
Ruijiang Gao
,
Mingzhang Yin
MLJ
2024
Adjusting Regression Models for Conditional Uncertainty Calibration
Ruijiang Gao
,
Mingzhang Yin
,
James McInerney
,
Nathan Kallus
JMLR
2024
Optimization-Based Causal Estimation from Heterogeneous Environments
Mingzhang Yin
,
Yixin Wang
,
David M. Blei
NeurIPS
2024
SEL-BALD: Deep Bayesian Active Learning with Selective Labels
Ruijiang Gao
,
Mingzhang Yin
,
Maytal Saar-Tsechansky
ICML
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
AAAI
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
NeurIPSW
2023
Nonparametric Discrete Choice Experiments with Machine Learning Guided Adaptive Design
Mingzhang Yin
,
Ruijiang Gao
,
Weiran Lin
,
Steven M. Shugan
AISTATS
2023
Probabilistic Conformal Prediction Using Conditional Random Samples
Zhendong Wang
,
Ruijiang Gao
,
Mingzhang Yin
,
Mingyuan Zhou
,
David Blei
NeurIPSW
2022
Generalized Synthetic Control Method with State-Space Model
Junzhe Shao
,
Mingzhang Yin
,
Xiaoxuan Cai
,
Linda Valeri
ICMLW
2022
Optimization-Based Causal Estimation from Heterogenous Environments
Mingzhang Yin
,
Yixin Wang
,
David Blei
CLeaR
2022
Partial Identification with Noisy Covariates: A Robust Optimization Approach
Wenshuo Guo
,
Mingzhang Yin
,
Yixin Wang
,
Michael Jordan
AISTATS
2020
A Theoretical Case Study of Structured Variational Inference for Community Detection
Mingzhang Yin
,
Y. X. Rachel Wang
,
Purnamrita Sarkar
AISTATS
2020
Discrete Action On-Policy Learning with Action-Value Critic
Yuguang Yue
,
Yunhao Tang
,
Mingzhang Yin
,
Mingyuan Zhou
ICLR
2020
Meta-Learning Without Memorization
Mingzhang Yin
,
George Tucker
,
Mingyuan Zhou
,
Sergey Levine
,
Chelsea Finn
UAI
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
ICLR
2019
ARM: Augment-REINFORCE-Merge Gradient for Stochastic Binary Networks
Mingzhang Yin
,
Mingyuan Zhou
ICML
2019
ARSM: Augment-REINFORCE-Swap-Merge Estimator for Gradient Backpropagation Through Categorical Variables
Mingzhang Yin
,
Yuguang Yue
,
Mingyuan Zhou
ICML
2018
Semi-Implicit Variational Inference
Mingzhang Yin
,
Mingyuan Zhou
NeurIPS
2017
Convergence of Gradient EM on Multi-Component Mixture of Gaussians
Bowei Yan
,
Mingzhang Yin
,
Purnamrita Sarkar