Weighted Emprirical Risk Minimization: Transfer Learning based on Importance Sampling.
Robin VogelMastane AchabStéphan ClémençonCharles TillierPublished in: ESANN (2020)
Keyphrases
- transfer learning
- importance sampling
- risk minimization
- monte carlo
- loss function
- markov chain
- kalman filter
- reinforcement learning
- generalization error
- labeled data
- active learning
- semi supervised learning
- cross domain
- particle filter
- machine learning
- collaborative filtering
- text classification
- learning algorithm
- text categorization
- particle filtering
- domain adaptation
- markov chain monte carlo
- target domain
- data mining
- training data
- posterior distribution
- state space
- regression model
- unsupervised learning
- approximate inference