Optimization
The Landscape of Non-convex Empirical Risk with Degenerate Population Risk
Shuang Li, Gongguo Tang, Michael B. Wakin
Neural Information Processing Systems http://nips.cc/
AQuantitativeGeometricApproachto Neural-NetworkSmoothness
The techniques for theโ2-perturbation do not easily transfer to theโ -case (Leino et al., 2021). One critical step is to measure the Lipschitz constant more precisely and efficiently.
AQuantitativeGeometricApproachto Neural-NetworkSmoothness
The techniques for theโ2-perturbation do not easily transfer to theโ -case (Leino et al., 2021). One critical step is to measure the Lipschitz constant more precisely and efficiently.
Scalable Hyperparameter Transfer Learning
Valerio Perrone, Rodolphe Jenatton, Matthias W. Seeger, Cedric Archambeau
In this work, we aim to warm-start BO in the context of hyperparameter optimization (HPO).