Robust importance sampling for error estimation in the context of optimal Bayesian transfer learning.
Omar MaddouriXiaoning QianFrancis J. AlexanderEdward R. DoughertyByung-Jun YoonPublished in: Patterns (2022)
Keyphrases
- transfer learning
- error estimation
- importance sampling
- monte carlo
- labeled data
- kalman filter
- active learning
- model selection
- posterior distribution
- machine learning
- learning algorithm
- reinforcement learning
- maximum likelihood
- markov chain monte carlo
- semi supervised learning
- approximate inference
- markov chain
- particle filtering
- dynamic programming
- high dimensional
- graphical models
- semi supervised
- computer vision
- unlabeled data
- data mining
- text classification