Aymeric Dieuleveut (CMAP)

Identifiers

• name variant Aymeric Dieuleveut (CMAP) 0.60 · backfill

Papers (6)

1. Random features models: a way to study the success of naive imputation math.ST · 2024 · author #4
2. Naive imputation implicitly regularizes high-dimensional linear models math.ST · 2023 · author #3
3. Adaptive Conformal Predictions for Time Series stat.ML · 2022 · author #5
4. Minimax rate of consistency for linear models with missing values stat.ML · 2022 · author #4
5. Debiasing Stochastic Gradient Descent to handle missing values math.ST · 2020 · author #5
6. Unsupervised Scalable Representation Learning for Multivariate Time Series cs.LG · 2019 · author #2

Mentions

• 2402.03839 #4 · arxiv_oai · confidence 0.70 Aymeric Dieuleveut (CMAP)
• 2301.13585 #3 · arxiv_oai · confidence 0.70 Aymeric Dieuleveut (CMAP)
• 2202.07282 #5 · arxiv_oai · confidence 0.70 Aymeric Dieuleveut (CMAP)
• 2202.01463 #4 · arxiv_oai · confidence 0.70 Aymeric Dieuleveut (CMAP)
• 2002.09338 #5 · arxiv_oai · confidence 0.70 Aymeric Dieuleveut (CMAP)
• 1901.10738 #2 · arxiv_oai · confidence 0.70 Aymeric Dieuleveut (CMAP)

Frequent Coauthors

• Alexis Ayme (LPSM (UMR\_8001)) 3 shared papers
• Claire Boyer (LPSM (UMR\_8001) 2 shared papers
• Erwan Scornet (CMAP) 2 shared papers
• Aude Sportisse (LPSM (UMR\_8001)) 1 shared papers
• Claire Boyer (LPSM (UMR\_8001)) 1 shared papers
• Claire Boyer (LPSM UMR 8001 1 shared papers
• CMAP 1 shared papers
• CRISAM 1 shared papers
• DMA) 1 shared papers
• Erwan Scornet (LPSM (UMR\_8001)) 1 shared papers
• FiME Lab) 1 shared papers
• IDESP) 1 shared papers
• IUF) 1 shared papers
• Jean-Yves Franceschi (MLIA) 1 shared papers
• Julie Josse (CMAP) 1 shared papers
• Julie Josse (CRISAM 1 shared papers
• Margaux Zaffran (EDF R&D 1 shared papers
• Martin Jaggi 1 shared papers
• Mokaplan) 1 shared papers
• Olivier F\'eron (EDF R&D 1 shared papers