Maillard, G. (2022). A model-based approach to density estimation in sup-norm. (1). ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/52576. |
Baraud, Y., Halconruy, H., & Maillard, G. (2022). Robust density estimation with the L1-loss. Applications to the estimation of a density on the line satisfying a shape constraint. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/51513. |
Maillard, G. (2022). Aggregated hold-out for sparse linear regression with a robust loss function. Electronic Journal of Statistics, 16 (1), 935-997. doi:10.1214/21-EJS1952 Peer Reviewed verified by ORBi |
Maillard, G., Arlot, S., & Lerasle, M. (January 2021). Aggregated hold-out. Journal of Machine Learning Research, 22. Peer Reviewed verified by ORBi |