4 papers accepted for NeurIPS 2019

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!

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