Ayme, Alexis

1. Naive imputation implicitly regularizes high-dimensional linear models
   2023/01/31 by Ayme, Alexis, Boyer, Claire, Dieuleveut, Aymeric +1 · 2 citations
   #FOS: Mathematics #Statistics Theory (math.ST)
2. Minimax rate of consistency for linear models with missing values
   2022/02/02 by Alexis Ayme, Claire Boyer, Ayme, Alexis +5 · 1 citation
   Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Statistical Methods and Bayesian Inference #Statistical Methods and Inference
3. A primer on linear classification with missing data
   2024/05/15 by Lobo, Angel D Reyero, Ayme, Alexis, Boyer, Claire +1 · 2 citations
   #FOS: Mathematics #Statistics Theory (math.ST)
4. Random features models: a way to study the success of naive imputation
   2024/02/06 by Alexis Ayme, Ayme, Alexis, Claire Boyer +5 · 1 citation
   Computer Science · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Neural Networks and Applications #Statistics Theory (math.ST)