Loss Minimization Yields Multicalibration for Large Neural Networks.
Jaroslaw BlasiokParikshit GopalanLunjia HuAdam Tauman KalaiPreetum NakkiranPublished in: ITCS (2024)
Keyphrases
- loss minimization
- neural network
- loss function
- pattern recognition
- artificial neural networks
- feed forward
- genetic algorithm
- neural nets
- competitive learning
- fuzzy logic
- fault diagnosis
- self organizing maps
- neural network model
- activation function
- real time
- multi layer
- multilayer feedforward
- hopfield networks
- adaptive resonance theory
- feedforward neural networks
- fuzzy systems
- recurrent neural networks
- case study
- back propagation