Quantification of Predictive Uncertainty via Inference-Time Sampling.
Katarína TóthováLubor LadickyDaniel ThulMarc PollefeysEnder KonukogluPublished in: UNSURE@MICCAI (2022)
Keyphrases
- reasoning under uncertainty
- inference process
- markov chain monte carlo
- sampling algorithm
- gibbs sampler
- probabilistic inference
- metropolis hastings
- uncertain data
- random sampling
- bayesian networks
- robust optimization
- probabilistic reasoning
- sample size
- bayesian model
- efficient learning
- belief functions
- monte carlo
- grammatical inference
- evidential reasoning
- artificial neural networks
- stochastic simulation
- sampling strategies
- inherent uncertainty
- decision trees