Should We Learn Most Likely Functions or Parameters?
Shikai QiuTim G. J. RudnerSanyam KapoorAndrew Gordon WilsonPublished in: NeurIPS (2023)
Keyphrases
- maximum likelihood estimation
- parameter values
- maximum likelihood
- input parameters
- parameter tuning
- sensitivity analysis
- set of basis functions
- parameter space
- neural network
- model selection
- real time
- hidden markov models
- lower bound
- parameter settings
- feature selection
- artificial intelligence
- control parameters
- learning algorithm
- efficient learning