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Collaborations and top research areas from the last five years
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Decision from Suboptimal Classifiers: Excess Risk Pre- and Post-Calibration
Perez-Lebel, A., Varoquaux, G., Koyejo, S., Doutreligne, M. & Le Morvan, M., 1 Jan 2025, In: Proceedings of Machine Learning Research. 258, p. 2395-2403 9 p.Research output: Contribution to journal › Conference article › peer-review
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IMPUTATION FOR PREDICTION: BEWARE OF DIMINISHING RETURNS
Le Morvan, M. & Varoquaux, G., 1 Jan 2025, 13th International Conference on Learning Representations, ICLR 2025. International Conference on Learning Representations, ICLR, p. 27597-27636 40 p. (13th International Conference on Learning Representations, ICLR 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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TabICL: A Tabular Foundation Model for In-Context Learning on Large Data
Qu, J., Holzmüller, D., Varoquaux, G. & Morvan, M. L., 1 Jan 2025, In: Proceedings of Machine Learning Research. 267, p. 50817-50847 31 p.Research output: Contribution to journal › Conference article › peer-review
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BEYOND CALIBRATION: ESTIMATING THE GROUPING LOSS OF MODERN NEURAL NETWORKS
Perez-Lebel, A., Le Morvan, M. & Varoquaux, G., 1 Jan 2023.Research output: Contribution to conference › Paper › peer-review
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BOOM! Tephrochronological dataset and exploration tool of the Southern (33–46° S) and Austral (49–55° S) volcanic zones of the Andes
Martínez Fontaine, C., Peña-Araya, V., Marmo, C., Le Morvan, M., Delpech, G., Fontijn, K., Siani, G. & Cosyn-Wexsteen, L., 15 Sept 2023, In: Quaternary Science Reviews. 316, 108254.Research output: Contribution to journal › Article › peer-review
Open Access -
Benchmarking missing-values approaches for predictive models on health databases
Perez-Lebel, A., Varoquaux, G., Le Morvan, M., Josse, J. & Poline, J. B., 1 Jan 2022, In: GigaScience. 11, giac013.Research output: Contribution to journal › Article › peer-review
Open Access -
What's a good imputation to predict with missing values?
Le Morvan, M., Josse, J., Scornet, E. & Varoquaux, G., 1 Jan 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 11530-11540 11 p. (Advances in Neural Information Processing Systems; vol. 14).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Linear predictor on linearly-generated data with missing values: non consistency and solutions
Morvan, M. L., Prost, N., Josse, J., Scornet, E. & Varoquaux, G., 1 Jan 2020, In: Proceedings of Machine Learning Research. 108, p. 3165-3174 10 p.Research output: Contribution to journal › Conference article › peer-review
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NeuMiss networks: Differentiable programming for supervised learning with missing values
Le Morvan, M., Josse, J., Moreau, T., Scornet, E. & Varoquaux, G., 1 Jan 2020, In: Advances in Neural Information Processing Systems. 2020-DecemberResearch output: Contribution to journal › Conference article › peer-review
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WHInter: A Working set algorithm for High-dimensional sparse second order Interaction models
Morvan, M. L. & Vert, J. P., 1 Jan 2018, In: Proceedings of Machine Learning Research. 80, p. 3635-3644 10 p.Research output: Contribution to journal › Conference article › peer-review