Ming Yu
Ming Yu
The University of Chicago Booth School of Business
確認したメール アドレス: chicagobooth.edu - ホームページ
タイトル
引用先
引用先
Statistical inference for pairwise graphical models using score matching
M Yu, M Kolar, V Gupta
Advances in Neural Information Processing Systems, 2829-2837, 2016
282016
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
162017
Recovery of simultaneous low rank and two-way sparse coefficient matrices, a nonconvex approach
M Yu, V Gupta, M Kolar
Electronic Journal of Statistics 14 (1), 413-457, 2020
112020
Learning influence-receptivity network structure with guarantee
M Yu, V Gupta, M Kolar
The 22nd International Conference on Artificial Intelligence and Statistics, 2019
92019
Convergent policy optimization for safe reinforcement learning
M Yu, Z Yang, M Kolar, Z Wang
Advances in Neural Information Processing Systems, 3127-3139, 2019
82019
Simultaneous Inference for Pairwise Graphical Models with Generalized Score Matching
M Yu, V Gupta, M Kolar
Journal of Machine Learning Research, 2020
62020
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
Constrained high dimensional statistical inference
M Yu, V Gupta, M Kolar
arXiv preprint arXiv:1911.07319, 2019
52019
Provable gaussian embedding with one observation
M Yu, Z Yang, T Zhao, M Kolar, Z Wang
Advances in Neural Information Processing Systems, 6764-6774, 2018
52018
Estimation of a Low-rank Topic-Based Model for Information Cascades
M Yu, V Gupta, M Kolar
Journal of Machine Learning Research, 2020
42020
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
22019
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
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
12019
Penalized Score Test for High Dimensional Logistic Regression
M Yu
2016
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