Model Agnostic Sample Reweighting for Out-of-Distribution Learning.

Xiao Zhou Yong Lin Renjie Pi Weizhong Zhang Renzhe Xu Peng Cui Tong Zhang

Published 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