Enhancing Explainability of Hyperparameter Optimization via Bayesian Algorithm Execution.
Julia MoosbauerGiuseppe CasalicchioMarius LindauerBernd BischlPublished in: CoRR (2022)
Keyphrases
- optimization algorithm
- high accuracy
- stochastic gradient
- k means
- dynamic programming
- times faster
- learning algorithm
- preprocessing
- np hard
- posterior probability
- convergence rate
- global optimization
- improved algorithm
- optimization method
- detection algorithm
- probabilistic model
- computational cost
- significant improvement
- gaussian processes
- optimal solution
- optimization process
- monte carlo sampling
- recognition algorithm
- combinatorial optimization
- expectation maximization
- search space
- similarity measure
- image segmentation