9 citations · 12 across the 4 of their papers we have counts for
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cs.LG2023
ISAAC Newton: Input-based Approximate Curvature for Newton's Method
Felix Petersen, Tobias Sutter, Christian Borgelt +4
We present ISAAC (Input-baSed ApproximAte Curvature), a novel method that conditions the gradient using selected second-order information and has an asymptotically vanishing comput…
cs.LG2022★ 3 cited
The Missing Invariance Principle Found -- the Reciprocal Twin of Invariant Risk Minimization
Dongsung Huh, Avinash Baidya
Machine learning models often generalize poorly to out-of-distribution (OOD) data as a result of relying on features that are spuriously correlated with the label during training.…