Amir Globerson

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 Alon Brutzkus

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Publications

2022
[c95]
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Alon Brutzkus, Amir Globerson, Eran Malach, Alon Regev Netser, Shai Shalev-Shwartz:
Efficient Learning of CNNs using Patch Based Features. ICML 2022: 2336-2356
[c91]
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  - conf/uai/BronsteinBG22
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Ido Bronstein, Alon Brutzkus, Amir Globerson:
On the inductive bias of neural networks for learning read-once DNFs. UAI 2022: 255-265
2021
[c84]
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  - conf/icml/SarussiBG21
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Roei Sarussi, Alon Brutzkus, Amir Globerson:
Towards Understanding Learning in Neural Networks with Linear Teachers. ICML 2021: 9313-9322
[c83]
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  - conf/nips/ShachafBG21
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Gal Shachaf, Alon Brutzkus, Amir Globerson:
A Theoretical Analysis of Fine-tuning with Linear Teachers. NeurIPS 2021: 15382-15394
[c82]
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  - conf/uai/BrutzkusG21
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Alon Brutzkus, Amir Globerson:
An optimization and generalization analysis for max-pooling networks. UAI 2021: 1650-1660
[i46]
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  - journals/corr/abs-2101-02533
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Roei Sarussi, Alon Brutzkus, Amir Globerson:
Towards Understanding Learning in Neural Networks with Linear Teachers. CoRR abs/2101.02533 (2021)
[i41]
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  - journals/corr/abs-2107-01641
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Gal Shachaf, Alon Brutzkus, Amir Globerson:
A Theoretical Analysis of Fine-tuning with Linear Teachers. CoRR abs/2107.01641 (2021)
2020
[i37]
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  - journals/corr/abs-2002-09781
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Alon Brutzkus, Amir Globerson:
On the Inductive Bias of a CNN for Orthogonal Patterns Distributions. CoRR abs/2002.09781 (2020)
2019
[c70]
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  - conf/icml/BrutzkusG19
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Alon Brutzkus, Amir Globerson:
Why do Larger Models Generalize Better? A Theoretical Perspective via the XOR Problem. ICML 2019: 822-830
2018
[c66]
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  - conf/iclr/BrutzkusGMS18
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Alon Brutzkus, Amir Globerson, Eran Malach, Shai Shalev-Shwartz:
SGD Learns Over-parameterized Networks that Provably Generalize on Linearly Separable Data. ICLR (Poster) 2018
[i23]
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  - journals/corr/abs-1810-03037
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Alon Brutzkus, Amir Globerson:
Over-parameterization Improves Generalization in the XOR Detection Problem. CoRR abs/1810.03037 (2018)
2017
[c61]
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  - conf/icml/BrutzkusG17
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Alon Brutzkus, Amir Globerson:
Globally Optimal Gradient Descent for a ConvNet with Gaussian Inputs. ICML 2017: 605-614
[i21]
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  - journals/corr/BrutzkusG17
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Alon Brutzkus, Amir Globerson:
Globally Optimal Gradient Descent for a ConvNet with Gaussian Inputs. CoRR abs/1702.07966 (2017)
[i18]
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  - journals/corr/abs-1710-10174
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Alon Brutzkus, Amir Globerson, Eran Malach, Shai Shalev-Shwartz:
SGD Learns Over-parameterized Networks that Provably Generalize on Linearly Separable Data. CoRR abs/1710.10174 (2017)

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