ModelPred: A Framework for Predicting Trained Model from Training Data.
Yingyan ZengJiachen T. WangSi ChenHoang Anh JustRan JinRuoxi JiaPublished in: SaTML (2023)
Keyphrases
- probabilistic model
- computational model
- training data
- unified model
- decision model
- computational framework
- test data
- theoretical framework
- image sequences
- modeling framework
- formal model
- cost function
- bayesian framework
- mathematical model
- main contribution
- conceptual framework
- input data
- supervised learning
- domain knowledge
- high level
- feature selection
- similarity measure
- objective function
- training set
- classification models
- feature vectors
- active learning
- theoretical foundation
- conceptual model
- probability distribution
- statistical model
- model selection
- parameter estimation