A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning.
Iris A. M. HuijbenWouter KoolMax B. PaulusRuud J. G. van SlounPublished in: CoRR (2021)
Keyphrases
- machine learning
- machine learning methods
- learning tasks
- computer vision
- machine learning algorithms
- pattern recognition
- information extraction
- knowledge acquisition
- discrete geometry
- machine learning and data mining
- artificial intelligence
- model selection
- literature review
- inductive learning
- learning algorithm
- learning systems
- supervised machine learning
- online reviews
- discrete version
- continuous domains
- stochastic model
- feature selection
- card games
- kernel methods
- structured data
- neural network
- supervised learning
- knowledge representation
- active learning
- information systems
- decision trees