MANO: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts.
Renchunzi XieAmbroise OdonnatVasilii FeofanovWeijian DengJianfeng ZhangBo AnPublished in: CoRR (2024)
Keyphrases
- high accuracy
- estimation accuracy
- probability density
- prediction accuracy
- computational cost
- data sets
- error rate
- unsupervised learning
- supervised learning
- estimation error
- error analysis
- semi supervised
- classification accuracy
- active learning
- accurate estimation
- linear algebra
- laplace transform
- parameter estimation
- density estimation
- covariance matrix
- missing data
- probability distribution
- training data
- image sequences
- machine learning