51 citations · 83 across the 13 of their papers we have counts for
5 papers · 1 filter
Applications of multivariate quasi-random sampling with neural networks
Marius Hofert, Avinash Prasad, Mu Zhu
Generative moment matching networks (GMMNs) are suggested for modeling the cross-sectional dependence between stochastic processes. The stochastic processes considered are geometri…
Quasi-random sampling for multivariate distributions via generative neural networks
Marius Hofert, Avinash Prasad, Mu Zhu
Generative moment matching networks (GMMNs) are introduced for generating quasi-random samples from multivariate models with any underlying copula in order to compute estimates und…
Pruning variable selection ensembles
Chunxia Zhang, Yilei Wu, Mu Zhu
In the context of variable selection, ensemble learning has gained increasing interest due to its great potential to improve selection accuracy and to reduce false discovery rate.…
Content-boosted Matrix Factorization Techniques for Recommender Systems
Jennifer Nguyen, Mu Zhu
Many businesses are using recommender systems for marketing outreach. Recommendation algorithms can be either based on content or driven by collaborative filtering. We study differ…
Classifying Network Data with Deep Kernel Machines
Xiao Tang, Mu Zhu
Inspired by a growing interest in analyzing network data, we study the problem of node classification on graphs, focusing on approaches based on kernel machines. Conventionally, ke…