Alexis Ayme
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
4
Venues
2
Active years
2022–2025
Best venue rank
A*
Where they publish
Papers
4 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AISTATS | A primer on linear classification with missing data. | Angel David Reyero Lobo, Alexis Ayme, Claire Boyer, Erwan Scornet |
| 2024 | ICML | Random features models: a way to study the success of naive imputation. | Alexis Ayme, Claire Boyer, Aymeric Dieuleveut, Erwan Scornet |
| 2023 | ICML | Naive imputation implicitly regularizes high-dimensional linear models. | Alexis Ayme, Claire Boyer, Aymeric Dieuleveut, Erwan Scornet |
| 2022 | ICML | Near-optimal rate of consistency for linear models with missing values. | Alexis Ayme, Claire Boyer, Aymeric Dieuleveut, Erwan Scornet |