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Alexis Ayme

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2024
[c3]
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  - conf/icml/AymeBDS24
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Alexis Ayme, Claire Boyer, Aymeric Dieuleveut, Erwan Scornet:
Random features models: a way to study the success of naive imputation. ICML 2024
2023
[c2]
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Alexis Ayme, Claire Boyer, Aymeric Dieuleveut, Erwan Scornet:
Naive imputation implicitly regularizes high-dimensional linear models. ICML 2023: 1320-1340
2022
[c1]
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Alexis Ayme, Claire Boyer, Aymeric Dieuleveut, Erwan Scornet:
Near-optimal rate of consistency for linear models with missing values. ICML 2022: 1211-1243
[i1]
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  - journals/corr/abs-2202-01463
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Alexis Ayme, Claire Boyer, Aymeric Dieuleveut, Erwan Scornet:
Minimax rate of consistency for linear models with missing values. CoRR abs/2202.01463 (2022)

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