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Mingzhang Yin
Mingzhang Yin
Assistant Professor, University of Florida
Bestätigte E-Mail-Adresse bei ufl.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Meta-Learning without Memorization
M Yin, G Tucker, M Zhou, S Levine, C Finn
International Conference on Learning Representations (ICLR), 2020
2442020
Semi-Implicit Variational Inference
M Yin, M Zhou
International Conference on Machine Learning (ICML), 2018
1782018
ARM: Augment-REINFORCE-merge gradient for stochastic binary networks
M Yin, M Zhou
International Conference on Learning Representations (ICLR), 2019
87*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
72*2017
Conformal sensitivity analysis for individual treatment effects
M Yin, C Shi, Y Wang, DM Blei
Journal of the American Statistical Association (JASA), 2022
472022
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
362019
Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation
M Zhou, H Zheng, Z Wang, M Yin, H Huang
International Conference on Machine Learning (ICML), 2024
282024
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
272020
Probabilistic Conformal Prediction Using Conditional Random Samples
Z Wang, R Gao, M Yin, M Zhou, DM Blei
Artificial Intelligence and Statistics (AISTATS), 2022
232022
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
232021
Optimization-based Causal Estimation from Heterogenous Environments
M Yin, Y Wang, DM Blei
Journal of Machine Learning Research (JMLR), 2023
212023
A Theoretical Case Study of Structured Variational Inference for Community Detection
M Yin, YX Wang, P Sarkar
Artificial Intelligence and Statistics (AISTATS), 2020
192020
Probabilistic Best Subset Selection via Gradient-Based Optimization
M Yin, N Ho, B Yan, X Qian, M Zhou
arXiv preprint arXiv:2006.06448, 2020
14*2020
Discrete Action On-Policy Learning with Action-Value Critic
Y Yue, Y Tang, M Yin, M Zhou
Artificial Intelligence and Statistics (AISTATS), 2019
92019
Confounding-robust Policy Improvement with Human-AI Teams
R Gao, M Yin
AAAI Conference on Artificial Intelligence (AAAI), 2024
72024
Topological data analysis in digital marketing
C Lakshminarayan, M Yin
Applied Stochastic Models in Business and Industry 36 (6), 1014-1028, 2020
52020
Probabilistic Machine Learning: New Frontiers for Modeling Consumers and their Choices
R Dew, N Padilla, LE Luo, S Oblander, A Ansari, K Boughanmi, M Braun, ...
International Journal of Research in Marketing (IJRM), 2024
42024
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
3*2022
Meta-learning customer preference dynamics on digital platforms
M Yin, K Boughanmi, A Ansari
Available at SSRN, 2024
22024
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