5 datasets found

The authors evaluate the performance of their proposed conformal prediction methods for multistep feedback covariate shift (MFCS) on synthetic black-box optimization and active...

The DGMM dataset is a Gaussian Mixture Model dataset. It is a continuous dataset with 5000 points.

The DUnif dataset is a uniform distribution dataset. It is a discrete dataset with 10004 points.

The Branin function is a well-known function for benchmarking optimization methods. It is a 2D function with three global maxima.

The Design-Bench dataset is a suite of offline black-box optimization tasks. It contains 6 high-dimensional real-world tasks, including D'Kitty, Ant, TFBind8, TFBind10,...