Kevin Murphy

Automated kernel discovery now yields reusable inductive biases that generalize beyond training data, outperforming meta-learned deep kernels and even human-refined versions on unseen tasks.

MDA not only discovers mechanistic models but also designs experiments that enhance predictive accuracy, achieving unprecedented data efficiency in model learning.