Robust Prediction Interval Estimation for Gaussian Processes By Cross-Validation Method
N. Acharki, A. Bertoncello, J. Garnier
submitted (2021)

TS-GLR: an Adaptive Thompson Sampling for the Switching Multi-Armed Bandit Problem
R. Alami, O. Azizi
submitted (2021)

Permutation Feature Importance for Global Interpretability of Machine Learning Models
V. Thouvenot
submitted (2021)

Associated package ShapKit

Deep Surrogate for Direct Time Fluid Dynamics
L. Poittier, L. Meyer, A. Ribes, B. Ruffin
NeurIPS 2021 Workshop "Machine Learning and the Physical Sciences" (2021)

On the Identifiability of Hierarchical Decision Models
R. Bresson, J. Cohen, E. Hüllermeier, C. Labreuche, M. Sebag
Proceedings of the 18th International Conference on Principles of Knowledge Representation and Reasoning (KR 2021), Hanoi, Vietnam (2021)

Explanation with the Winter Value: Efficient Computation for Hierarchical Choquet Integrals
C. Labreuche
Proceedings of the 16th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2021) (Prague, Czechia): 471-485 (2021)

Sample selection from a given dataset to validate machine learning models
B. Iooss
50th Meeting of the Italian Statistical Society (SIS2021): 88-93 (2021)

Developments and applications of Shapley effects to reliability-oriented sensitivity analysis with correlated inputs
M. Il Idrissi, V. Chabridon, B. Iooss
Environmental Modeling & Software, 143: 105115 (2021)

Associated package review_l2tse

Mesures d'importance relative par décomposition de la performance de modèles de régression
M. Il Idrissi, B. Iooss, V. Chabridon
Actes des 52èmes Journées de la Société Française de Statistique (SFdS), Nice, Jun 2021

The Future of Sensitivity Analysis: An Essential Discipline for Systems Modeling and Policy Support
S. Razavi, A. Jakeman, A. Saltelli, C. Prieur, B. Iooss, E Borgonovo, E Plischke, S. Lo Piano, T. Iwanaga, W. Becker, S. Tarantola, J. H.A. Guillaume, J. Jakeman, H. Gupta , N. Melillo, G. Rabitti, V. Chabridon, Q. Duan, X. Sun, S. Smith, R. Sheikholeslami, N. Hosseini, M. Asadzadeh, A. Puy, S. Kucherenko, H. R. Maier
Environmental Modeling & Software, 37: 104954 (2021)

Deep Learning : des usages contrastés dans le monde socio-économique. Une contextualisation de l’ouvrage de Goodfellow, Bengio et Courville
R. Adon, F. Arthur, G. Baquiast, G. Hochard, A. Kaid Gherbi, A. Nègre, A. Simoulin, F. Talaouit- Mockli, N. Bousquet
Statistique & Société, 8: 55-108 (2021)

Causal and interpretable Rules for Time Series Analysis
A. Dhaou, A. Bertoncello, S. Gourvenec, J. Garnier, E. Le Pennec
KDD '21: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining: 2764–2772 (2021)

A Projected Stochastic Gradient Algorithm for Estimating Shapley Value Applied in Attribute Importance
G. Simon, V. Thouvenot
In: Holzinger A., Kieseberg P., Tjoa A., Weippl E. (eds)
Machine Learning and Knowledge Extraction. CD-MAKE 2020. Lecture Notes in Computer Science, vol 12279: 97-115 (2020)

Public open source code