Quantifying the benefit of using differentiable learning over tangent kernels. Malach, E., Kamath, P., Abbe, E., & Srebro, N. International Conference on Machine Learning, 2021.
![Quantifying the benefit of using differentiable learning over tangent kernels [pdf]](https://bibbase.org/img/filetypes/pdf.svg "pdf")
Paper bibtex 11 downloads
Paper bibtex 11 downloads @article{2021malachquantifying,
title={Quantifying the benefit of using differentiable learning over tangent kernels},
author={Malach, Eran and Kamath, Pritish and Abbe, Emmanuel and Srebro, Nathan},
journal={International Conference on Machine Learning},
year={2021},
url_Paper={http://proceedings.mlr.press/v139/malach21a/malach21a.pdf}
}Downloads: 11
{"_id":"TfbaPMTvz4iSaegJy","bibbaseid":"malach-kamath-abbe-srebro-quantifyingthebenefitofusingdifferentiablelearningovertangentkernels-2021","author_short":["Malach, E.","Kamath, P.","Abbe, E.","Srebro, N."],"bibdata":{"bibtype":"article","type":"article","title":"Quantifying the benefit of using differentiable learning over tangent kernels","author":[{"propositions":[],"lastnames":["Malach"],"firstnames":["Eran"],"suffixes":[]},{"propositions":[],"lastnames":["Kamath"],"firstnames":["Pritish"],"suffixes":[]},{"propositions":[],"lastnames":["Abbe"],"firstnames":["Emmanuel"],"suffixes":[]},{"propositions":[],"lastnames":["Srebro"],"firstnames":["Nathan"],"suffixes":[]}],"journal":"International Conference on Machine Learning","year":"2021","url_paper":"http://proceedings.mlr.press/v139/malach21a/malach21a.pdf","bibtex":"@article{2021malachquantifying,\n title={Quantifying the benefit of using differentiable learning over tangent kernels},\n author={Malach, Eran and Kamath, Pritish and Abbe, Emmanuel and Srebro, Nathan},\n journal={International Conference on Machine Learning},\n year={2021},\n url_Paper={http://proceedings.mlr.press/v139/malach21a/malach21a.pdf}\n} \n\n","author_short":["Malach, E.","Kamath, P.","Abbe, E.","Srebro, N."],"key":"2021malachquantifying","id":"2021malachquantifying","bibbaseid":"malach-kamath-abbe-srebro-quantifyingthebenefitofusingdifferentiablelearningovertangentkernels-2021","role":"author","urls":{" paper":"http://proceedings.mlr.press/v139/malach21a/malach21a.pdf"},"metadata":{"authorlinks":{}},"downloads":11,"html":""},"bibtype":"article","biburl":"natisb.github.io/Pub.bib","dataSources":["d2cjLLaXdKBg4GZbu","gXDHDS9LFkGrW59EE"],"keywords":[],"search_terms":["quantifying","benefit","using","differentiable","learning","over","tangent","kernels","malach","kamath","abbe","srebro"],"title":"Quantifying the benefit of using differentiable learning over tangent kernels","year":2021,"downloads":11}