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2020 – today
- 2024
[i4]Massil Hihat, Guillaume Garrigos, Adeline Fermanian, Simon Bussy:
Multivariate Online Linear Regression for Hierarchical Forecasting. CoRR abs/2402.14578 (2024)- 2023
- [c1]Massil Hihat, Stéphane Gaïffas, Guillaume Garrigos, Simon Bussy:
Online Inventory Problems: Beyond the i.i.d. Setting with Online Convex Optimization. NeurIPS 2023 - [i3]Massil Hihat, Stéphane Gaïffas, Guillaume Garrigos, Simon Bussy:
Online Inventory Problems: Beyond the i.i.d. Setting with Online Convex Optimization. CoRR abs/2307.06048 (2023)
2010 – 2019
- 2019
- [b1]Simon Bussy:
Introduction of high-dimensional interpretable machine learning models and their applications. (Introduction de modèles de machine learning interprétables en grande dimension et leurs applications). Sorbonne University, France, 2019 - [j1]Mokhtar Z. Alaya
, Simon Bussy, Stéphane Gaïffas, Agathe Guilloux:
Binarsity: a penalization for one-hot encoded features in linear supervised learning. J. Mach. Learn. Res. 20: 118:1-118:34 (2019) - 2018
- [i2]Simon Bussy, Mokhtar Z. Alaya, Agathe Guilloux, Anne-Sophie Jannot:
Binacox: automatic cut-points detection in high-dimensional Cox model, with applications to genetic data. CoRR abs/1807.09813 (2018) - [i1]Simon Bussy, Raphaël Veil, Vincent Looten, Anita Burgun, Stéphane Gaïffas, Agathe Guilloux, Brigitte Ranque, Anne-Sophie Jannot:
Comparison of methods for early-readmission prediction in a high-dimensional heterogeneous covariates and time-to-event outcome framework. CoRR abs/1807.09821 (2018)
Coauthor Index
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