LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for Lasso.
Kenan SehicAlexandre GramfortJoseph SalmonLuigi NardiPublished in: AutoML (2022)
Keyphrases
- benchmark suite
- high dimensional
- variable selection
- model selection
- low dimensional
- global optimization
- optimization method
- gaussian processes
- optimization problems
- optimization algorithm
- cross validation
- feature selection
- generalized linear models
- constrained optimization
- hyperparameters
- similarity search
- data points
- dimensionality reduction
- optimization methods
- regression model
- noisy data
- microarray data
- high dimensionality
- sparse representation
- high dimensional data
- multi dimensional
- probabilistic model
- feature space