Learnable Quantization Loss Function Based on Expectation.
Hao SunYujuan ChengYang WangBin WangShouyi YinPublished in: ICAC (2021)
Keyphrases
- loss function
- pairwise
- support vector
- logistic regression
- learning to rank
- risk minimization
- learning algorithm
- empirical risk
- hinge loss
- reproducing kernel hilbert space
- convex loss functions
- pac learning
- distortion measure
- boosting algorithms
- similarity measure
- stochastic gradient descent
- regularization term
- convex optimization
- precision and recall
- boosting framework