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Ming Yu
Ming Yu
The University of Chicago Booth School of Business
Подтвержден адрес электронной почты в домене chicagobooth.edu - Главная страница
Название
Процитировано
Процитировано
Год
Convergent policy optimization for safe reinforcement learning
M Yu, Z Yang, M Kolar, Z Wang
Advances in Neural Information Processing Systems 32, 2019
1172019
Statistical inference for pairwise graphical models using score matching
M Yu, M Kolar, V Gupta
Advances in Neural Information Processing Systems 29, 2016
472016
Simultaneous Inference for Pairwise Graphical Models with Generalized Score Matching
M Yu, V Gupta, M Kolar
Journal of Machine Learning Research, 2020
282020
Recovery of simultaneous low rank and two-way sparse coefficient matrices, a nonconvex approach
M Yu, V Gupta, M Kolar
242020
An influence-receptivity model for topic based information cascades
M Yu, V Gupta, M Kolar
2017 IEEE international conference on data mining (ICDM), 1141-1146, 2017
212017
Constrained high dimensional statistical inference
M Yu, V Gupta, M Kolar
arXiv preprint arXiv:1911.07319, 2019
142019
Learning influence-receptivity network structure with guarantee
M Yu, V Gupta, M Kolar
The 22nd International Conference on Artificial Intelligence and Statistics, 2019
102019
Estimation of a Low-rank Topic-Based Model for Information Cascades
M Yu, V Gupta, M Kolar
Journal of Machine Learning Research, 2020
82020
Provable gaussian embedding with one observation
M Yu, Z Yang, T Zhao, M Kolar, Z Wang
Advances in Neural Information Processing Systems 31, 2018
82018
Multitask Learning using Task Clustering with Applications to Predictive Modeling and GWAS of Plant Varieties
M Yu, AM Thompson, KN Ramamurthy, E Yang, AC Lozano
Data Science for Intelligent Food, Energy and Water Workshop, KDD 2017, 2017
62017
Simultaneous Parameter Learning and Bi-Clustering for Multi-Response Models
M Yu, K Natesan Ramamurthy, A Thompson, AC Lozano
Frontiers in Big Data 2, 27, 2019
42019
Provable Q-Iteration with L infinity Guarantees and Function Approximation
M Yu, Z Yang, M Wang, Z Wang
Optimization Foundations for Reinforcement Learning Workshop, NeurIPS 2019, 2019
32019
Estimation and Statistical Inference for High Dimensional Model with Constrained Parameter Space
M Yu
https://search.proquest.com/docview/2392459739?pq-origsite=gscholar, 2020
12020
Penalized Score Test for High Dimensional Logistic Regression
M Yu
2016
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