A Gradual, Semi-Discrete Approach to Generative Network Training via Explicit Wasserstein Minimization.
Yucheng ChenMatus TelgarskyChao ZhangBolton BaileyDaniel HsuJian PengPublished in: ICML (2019)
Keyphrases
- recurrent networks
- network model
- computer networks
- training set
- peer to peer
- training examples
- complex networks
- wireless sensor networks
- supervised learning
- network traffic
- continuous variables
- test set
- radial basis function network
- training phase
- network structure
- network topologies
- neural network structure
- recurrent neural networks
- data sets
- generative model
- online learning
- support vector machine
- decision trees
- learning algorithm