A Practical Guide to Statistical Distances for Evaluating Generative Models in Science.
Sebastian BischoffAlana DarcherMichael DeistlerRichard GaoFranziska GerkenManuel GlöcklerLisa HaxelJaivardhan KapoorJanne K. LappalainenJakob H. MackeGuy MossMatthijs PalsFelix PeiRachel RappA Erdem SagtekinCornelius SchröderAuguste SchulzZinovia StefanidiShoji ToyotaLinda UlmerJulius VetterPublished in: CoRR (2024)
Keyphrases
- generative model
- probabilistic model
- discriminative models
- mixture model
- discriminative learning
- prior knowledge
- hierarchical hidden markov models
- em algorithm
- semi supervised
- generative and discriminative models
- hidden variables
- distance measure
- topic models
- conditional random fields
- object categories
- maximum entropy principle
- object recognition
- information retrieval
- higher order
- discriminatively trained
- representational power
- learning algorithm
- decision trees
- training data
- expectation maximization
- graphical models