20250190817. Methods Systems Accelerat (Kinaxis .)

METHODS AND SYSTEMS FOR ACCELERATED TREE LEARNING

Abstract: systems and methods disclose herein procedures for accelerated tree learning. in one class, the acceleration is based on self-adapting learning rates, while in another class, the acceleration is based on a plurality of learning rates, wherein each learning rate varies over the training; each learning rate increases linearly as a respective pseudo residual maintains a direction across sequential training iterations; and each learning rate decreases exponentially as the respective pseudo residual changes direction across sequential training iterations. the latter can be incorporated with other methodologies, such as momentum-augmented gradient boosting and nesterov accelerated gradient boosting. these systems and methods for accelerated tree learning exhibit a marked reduction in training time and resources required for gradient boosted trees.

Inventor(s): Christopher WANG, Zeng WANG, Behrouz HAJI SOLEIMANI

CPC Classification: G06N5/01 (Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound)

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