How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data.
Mihaela C. StoianSalijona DyrmishiMaxime CordyThomas LukasiewiczEleonora GiunchigliaPublished in: ICLR (2024)
Keyphrases
- synthetic data
- generative model
- tabular data
- probabilistic model
- real world
- cell suppression
- controlled tabular adjustment
- deep belief networks
- data sets
- em algorithm
- discriminative models
- discriminative learning
- prior knowledge
- real image data
- conditional random fields
- hierarchical hidden markov models
- deep learning
- differential privacy
- object categories
- semi supervised
- graphical models
- expectation maximization
- generative and discriminative models
- machine learning