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Gabriel Clara

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2020 – today

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2025
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  - journals/corr/abs-2503-11891
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Gabriel Clara, Sophie Langer, Johannes Schmidt-Hieber:
Training Diagonal Linear Networks with Stochastic Sharpness-Aware Minimization. CoRR abs/2503.11891 (2025)
2024
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Gabriel Clara, Sophie Langer, Johannes Schmidt-Hieber:
Dropout Regularization Versus l2-Penalization in the Linear Model. J. Mach. Learn. Res. 25: 204:1-204:48 (2024)
2020
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  - conf/nips/RaySC20
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Kolyan Ray, Botond Szabó, Gabriel Clara:
Spike and slab variational Bayes for high dimensional logistic regression. NeurIPS 2020
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  - journals/corr/abs-2010-11665
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Kolyan Ray, Botond Szabó, Gabriel Clara:
Spike and slab variational Bayes for high dimensional logistic regression. CoRR abs/2010.11665 (2020)

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