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Jakob Foerster
j_foerst
The gradient is a locally greedy direction. Where do you get if you follow the eigenvectors of the Hessian instead? Our new paper, “Ridge Rider” (https://papers.nips.cc/paper/2020/file/08425b881bcde94a383cd258cea331be-Paper.pdf), explor
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