Conditional Sparse $L_p$-norm Regression With Optimal Probability.
John HainlineBrendan JubaHai S. LeDavid P. WoodruffPublished in: AISTATS (2019)
Keyphrases
- conditional probabilities
- sparse bayesian learning
- sparse kernel
- regression model
- worst case
- sparse representation
- high dimensional
- linear regression
- joint optimization
- optimality criterion
- regression function
- relevance vector machine
- support vector
- optimal solution
- support vector machine
- feature space
- expected loss