Wavelet shrinkage for unequally spaced data. - Sylvain Sardy; Donald B. Percival; Andrew G. Bruce; Hong-Ye Gao; Werner Stuetzle (Stat. Comput., 1999)

Minimax threshold for denoising complex signals with Waveshrink. - Sylvain Sardy (IEEE Trans. Signal Process., 2000)

Robust wavelet denoising. - Sylvain Sardy; Paul Tseng; Andrew G. Bruce (IEEE Trans. Signal Process., 2001)

Isotone additive latent variable models. - Sylvain Sardy; Maria-Pia Victoria-Feser (Stat. Comput., 2012)

Stochastic optimization of sailing trajectories in an upwind regatta. - Robert C. Dalang; Frédéric Dumas; Sylvain Sardy; Stephan Morgenthaler; Juan Vila (J. Oper. Res. Soc., 2015)

A Composite Lasso Penalty With an Application in Cosmology. - Jairo Diaz Rodriguez; Sylvain Sardy (CSE/EUC/DCABES, 2016)

Adaptive shrinkage of singular values. - Julie Josse; Sylvain Sardy (Stat. Comput., 2016)

Low-rank model with covariates for count data with missing values. - Geneviève Robin; Julie Josse; Eric Moulines; Sylvain Sardy (J. Multivar. Anal., 2019)

What needles do sparse neural networks find in nonlinear haystacks. - Sylvain Sardy; Nicolas W. Hengartner; Nikolai Bobenko; Yen Ting Lin (CoRR, 2020)

Model Selection With Lasso-Zero: Adding Straw to the Haystack to Better Find Needles. - Pascaline Descloux; Sylvain Sardy (J. Comput. Graph. Stat., 2021)

Thresholding tests based on affine LASSO to achieve non-asymptotic nominal level and high power under sparse and dense alternatives in high dimension. - Sylvain Sardy; Jairo Diaz Rodriguez; Caroline Giacobino (Comput. Stat. Data Anal., 2022)

A phase transition for finding needles in nonlinear haystacks with LASSO artificial neural networks. - Xiaoyu Ma; Sylvain Sardy; Nick Hengartner; Nikolai Bobenko; Yen Ting Lin (Stat. Comput., 2022)

Training a neural netwok for data reduction and better generalization. - Sylvain Sardy; Maxime van Cutsem; Xiaoyu Ma (CoRR, 2024)