Alexis Ayme
4 papers · 2022–2025 · 2 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
Venues
Top co-authors
Research topics
Keywords
excess risk
(2)
missing data
(2)
supervised learning
(1)
ridge regression
(1)
linear discriminant analysis
(1)
minimax estimation
(1)
linear regression
(1)
high-dimensional linear model
(1)
missing data imputation
(1)
implicit regularization
(1)
ridge regularization
(1)
missing value
(1)
missing completely at random
(1)
adaptive risk bound
(1)
stochastic gradient descent
(1)
imputation method
(1)
logistic regression
(1)
Papers
A primer on linear classification with missing data
AISTATS 2025
Random features models: a way to study the success of naive imputation
ICML 2024
Naive imputation implicitly regularizes high-dimensional linear models
ICML 2023
Near-optimal rate of consistency for linear models with missing values
ICML 2022