2 Lazy Paired Tuning for Discrete Hyper-parameters Algorithm 1 : Finite Lazy Paired Parameter Tuning

In virtually all machine learning applications, hyper-parameter tuning is required to maximize predictive accuracy. Such tuning is computationally expensive, and the cost is further exacerbated by the need for multiple evaluations (via crossvalidation or bootstrap) at each configuration setting to guarantee statistically significant results. This paper… CONTINUE READING