Gaussian Partitioning for Reliable Learning of Multi-Index Models
Gaussian partitioning is introduced as an algorithmic primitive that divides space into polyhedral regions to reliably learn multi-index models.
Gaussian partitioning is introduced as an algorithmic primitive that divides space into polyhedral regions to reliably learn multi-index models.