We are pleased to share the good news that four papers out of four submissions from our team have been accepted for NeurIPS 2019 (alphab. order):
1) Pierre Ablin, T. Moreau, M. Massias & A. Gramfort: “Learning step sizes for unfolded sparse coding” https://arxiv.org/abs/1905.11071
2) Quentin Bertrand, M. Messias, A. Gramfort and J. Salmon: “Concomitant Lasso with Repetitions (CLaR): beyond averaging multiple realizations of heteroscedastic noise” https://arxiv.org/abs/1902.02509
3) David Sabbagh, P. Ablin, G. Varoquaux, A. Gramfort and D. Engemann: “Manifold-regression to predict from MEG/EEG brain signals without source modeling” https://arxiv.org/abs/1906.02687
4) Meyer Scetbon & G. Varoquaux A: “Comparing distributions: l1 geometry improves kernel two-sample testing” (selected as spotlight).
See you in Vancouver!