MILO: Model-Agnostic Subset Selection Framework for Efficient Model Training and Tuning.
KirshnaTeja KillamsettyAlexandre V. EvfimievskiTejaswini PedapatiKiran KateLucian PopaRishabh K. IyerPublished in: CoRR (2023)
Keyphrases
- mathematical model
- probabilistic model
- simulation model
- computational model
- unified model
- data sets
- parameter values
- bayesian framework
- conceptual model
- experimental data
- theoretical framework
- supervised learning
- objective function
- theoretical analysis
- prior knowledge
- conceptual framework
- modeling framework
- mathematical framework
- data mining