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Mu Zhu

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Decision Theory-Guided Deep Reinforcement Learning for Fast Learning

Feb 08, 2024
Zelin Wan, Jin-Hee Cho, Mu Zhu, Ahmed H. Anwar, Charles Kamhoua, Munindar P. Singh

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Restricted Tweedie Stochastic Block Models

Oct 17, 2023
Jie Jian, Mu Zhu, Peijun Sang

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Dependence model assessment and selection with DecoupleNets

Feb 07, 2022
Marius Hofert, Avinash Prasad, Mu Zhu

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RafterNet: Probabilistic predictions in multi-response regression

Dec 02, 2021
Marius Hofert, Avinash Prasad, Mu Zhu

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Game-Theoretic and Machine Learning-based Approaches for Defensive Deception: A Survey

Jan 21, 2021
Mu Zhu, Ahmed H. Anwar, Zelin Wan, Jin-Hee Cho, Charles Kamhoua, Munindar P. Singh

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Applications of multivariate quasi-random sampling with neural networks

Dec 15, 2020
Marius Hofert, Avinash Prasad, Mu Zhu

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Multivariate time-series modeling with generative neural networks

Feb 25, 2020
Marius Hofert, Avinash Prasad, Mu Zhu

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Quasi-random number generators for multivariate distributions based on generative neural networks

Nov 01, 2018
Marius Hofert, Avinash Prasad, Mu Zhu

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Pruning variable selection ensembles

Apr 26, 2017
Chunxia Zhang, Yilei Wu, Mu Zhu

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Expanded Alternating Optimization of Nonconvex Functions with Applications to Matrix Factorization and Penalized Regression

Dec 12, 2014
W. James Murdoch, Mu Zhu

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