Artikel mit Open-Access-Mandaten - Mingzhang YinWeitere Informationen
Verfügbar: 9
ARM: Augment-REINFORCE-merge gradient for stochastic binary networks
M Yin, M Zhou
International Conference on Learning Representations (ICLR), 2019
Mandate: US National Science Foundation
Convergence of Gradient EM on Multi-component Mixture of Gaussians
B Yan, M Yin, P Sarkar
Advances in Neural Information Processing Systems (NeurIPS), 2017
Mandate: US National Science Foundation
Conformal sensitivity analysis for individual treatment effects
M Yin, C Shi, Y Wang, DM Blei
Journal of the American Statistical Association (JASA), 2022
Mandate: US National Science Foundation, US Department of Defense
ARSM: Augment-reinforce-swap-merge estimator for gradient backpropagation through categorical variables
M Yin, Y Yue, M Zhou
International Conference on Machine Learning (ICML), 2019
Mandate: US National Science Foundation
Pairwise supervised hashing with Bernoulli variational auto-encoder and self-control gradient estimator
SZ Dadaneh, S Boluki, M Yin, M Zhou, X Qian
Uncertainty in Artificial Intelligence (UAI), 2020
Mandate: US National Science Foundation
Partial identification with noisy covariates: A robust optimization approach
W Guo, M Yin, Y Wang, MI Jordan
Conference on Causal Learning and Reasoning (CLeaR), 2021
Mandate: US Department of Defense
Optimization-based Causal Estimation from Heterogenous Environments
M Yin, Y Wang, DM Blei
Journal of Machine Learning Research (JMLR), 2023
Mandate: US National Science Foundation, US Department of Defense
A Theoretical Case Study of Structured Variational Inference for Community Detection
M Yin, YX Wang, P Sarkar
Artificial Intelligence and Statistics (AISTATS), 2020
Mandate: US National Science Foundation
Discrete Action On-Policy Learning with Action-Value Critic
Y Yue, Y Tang, M Yin, M Zhou
Artificial Intelligence and Statistics (AISTATS), 2019
Mandate: US National Science Foundation
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