Model Agnostic Sample Reweighting for Out-of-Distribution Learning.
Xiao ZhouYong LinRenjie PiWeizhong ZhangRenzhe XuPeng CuiTong ZhangPublished in: CoRR (2023)
Keyphrases
- prior knowledge
- probabilistic model
- probability distribution
- learning scheme
- high level
- power law
- learning process
- supervised learning
- statistical model
- learning mechanism
- learning models
- formal model
- experimental data
- learning algorithm
- parameter estimation
- reinforcement learning
- conceptual model
- learning tasks
- learning problems
- computational model
- objective function
- decision theoretic
- training data
- learning phase