Donald Goldfarb

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Yi Ren 0007

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Publications

2023
[c13]
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  - conf/aistats/BahamouG023
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Achraf Bahamou, Donald Goldfarb, Yi Ren:
A Mini-Block Fisher Method for Deep Neural Networks. AISTATS 2023: 9191-9220
2022
[i18]
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  - electronic edition @ arxiv.org (open access)
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  - journals/corr/abs-2202-04124
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Achraf Bahamou, Donald Goldfarb, Yi Ren:
A Mini-Block Natural Gradient Method for Deep Neural Networks. CoRR abs/2202.04124 (2022)
2021
[c11]
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  - electronic edition @ neurips.cc (open access)
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  - conf/nips/RenG21
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Yi Ren, Donald Goldfarb:
Tensor Normal Training for Deep Learning Models. NeurIPS 2021: 26040-26052
[i17]
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  - journals/corr/abs-2102-06737
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Yi Ren, Donald Goldfarb:
Kronecker-factored Quasi-Newton Methods for Convolutional Neural Networks. CoRR abs/2102.06737 (2021)
[i16]
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  - journals/corr/abs-2106-02925
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Yi Ren, Donald Goldfarb:
Tensor Normal Training for Deep Learning Models. CoRR abs/2106.02925 (2021)
2020
[c10]
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  - conf/nips/GoldfarbRB20
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Donald Goldfarb, Yi Ren, Achraf Bahamou:
Practical Quasi-Newton Methods for Training Deep Neural Networks. NeurIPS 2020
[i15]
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  - journals/corr/abs-2006-08877
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Donald Goldfarb, Yi Ren, Achraf Bahamou:
Practical Quasi-Newton Methods for Training Deep Neural Networks. CoRR abs/2006.08877 (2020)
2019
[i13]
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  - journals/corr/abs-1906-02353
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Yi Ren, Donald Goldfarb:
Efficient Subsampled Gauss-Newton and Natural Gradient Methods for Training Neural Networks. CoRR abs/1906.02353 (2019)

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