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Amirhesam Abedsoltan

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2024
[c3]
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Amirhesam Abedsoltan, Parthe Pandit, Luis Rademacher, Mikhail Belkin:
On the Nyström Approximation for Preconditioning in Kernel Machines. AISTATS 2024: 3718-3726
2023
[c2]
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Amirhesam Abedsoltan, Mikhail Belkin, Parthe Pandit:
Toward Large Kernel Models. ICML 2023: 61-78
[i4]
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  - journals/corr/abs-2302-02605
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Amirhesam Abedsoltan, Mikhail Belkin, Parthe Pandit:
Toward Large Kernel Models. CoRR abs/2302.02605 (2023)
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  - journals/corr/abs-2306-02533
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Chaoyue Liu, Amirhesam Abedsoltan, Mikhail Belkin:
On Emergence of Clean-Priority Learning in Early Stopped Neural Networks. CoRR abs/2306.02533 (2023)
[i2]
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  - journals/corr/abs-2312-03311
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Amirhesam Abedsoltan, Mikhail Belkin, Parthe Pandit, Luis Rademacher:
On the Nystrom Approximation for Preconditioning in Kernel Machines. CoRR abs/2312.03311 (2023)
2022
[c1]
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  - conf/nips/MallinarSAPBN22
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Neil Mallinar, James B. Simon, Amirhesam Abedsoltan, Parthe Pandit, Misha Belkin, Preetum Nakkiran:
Benign, Tempered, or Catastrophic: Toward a Refined Taxonomy of Overfitting. NeurIPS 2022
[i1]
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  - journals/corr/abs-2207-06569
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Neil Mallinar, James B. Simon, Amirhesam Abedsoltan, Parthe Pandit, Mikhail Belkin, Preetum Nakkiran:
Benign, Tempered, or Catastrophic: A Taxonomy of Overfitting. CoRR abs/2207.06569 (2022)

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