Följ
Mingzhang Yin
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Meta-Learning without Memorization
M Yin, G Tucker, M Zhou, S Levine, C Finn
International Conference on Learning Representations (ICLR), 2020
2072020
Semi-Implicit Variational Inference
M Yin, M Zhou
International Conference on Machine Learning (ICML), 2018
1472018
ARM: Augment-REINFORCE-merge gradient for stochastic binary networks
M Yin, M Zhou
International Conference on Learning Representations (ICLR), 2019
80*2019
Convergence of Gradient EM on Multi-component Mixture of Gaussians
B Yan, M Yin, P Sarkar
Advances in Neural Information Processing Systems (NeurIPS), 2017
612017
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
342019
Conformal sensitivity analysis for individual treatment effects
M Yin, C Shi, Y Wang, DM Blei
Journal of the American Statistical Association (JASA), 2022
302022
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
222020
A Theoretical Case Study of Structured Variational Inference for Community Detection
M Yin, YX Wang, P Sarkar
Artificial Intelligence and Statistics (AISTATS), 2020
172020
Optimization-based Causal Estimation from Heterogenous Environments
M Yin, Y Wang, DM Blei
arXiv preprint arXiv:2109.11990, 2021
142021
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
132021
Probabilistic Best Subset Selection via Gradient-Based Optimization
M Yin, N Ho, B Yan, X Qian, M Zhou
arXiv preprint arXiv:2006.06448, 2020
11*2020
Probabilistic Conformal Prediction Using Conditional Random Samples
Z Wang, R Gao, M Yin, M Zhou, DM Blei
Artificial Intelligence and Statistics (AISTATS), 2022
82022
Discrete Action On-Policy Learning with Action-Value Critic
Y Yue, Y Tang, M Yin, M Zhou
Artificial Intelligence and Statistics (AISTATS), 2019
72019
Topological data analysis in digital marketing
C Lakshminarayan, M Yin
Applied Stochastic Models in Business and Industry 36 (6), 1014-1028, 2020
42020
Semi-Implicit Generative Model
M Yin, M Zhou
Proceedings of the NeurIPS 2018 Workshop on Bayesian Deep Learning (NeurIPS BDL), 2018
42018
Gradient Estimation for Binary Latent Variables via Gradient Variance Clipping
RZ Kunes, M Yin, M Land, D Haviv, D Pe'er, S Tavaré
AAAI Conference on Artificial Intelligence (AAAI), 2022
22022
Confounding-Robust Policy Improvement with Human-AI Teams
R Gao, M Yin
arXiv preprint arXiv:2310.08824, 2023
12023
Meta-Learning Customer Preference Dynamics on Digital Platforms
M Yin, K Boughanmi, A Ansari
Available at SSRN, 2024
2024
Nonparametric Discrete Choice Experiments with Machine Learning Guided Adaptive Design
M Yin, R Gao, W Lin, SM Shugan
arXiv preprint arXiv:2310.12026, 2023
2023
Generalized Synthetic Control Method with State-Space Model
J Shao, M Yin, X Cai, L Valeri
NeurIPS 2022 Workshop on Causality for Real-world Impact, 2022
2022
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Artiklar 1–20