Bibliography

Publications of the year

Articles in International Peer-Reviewed Journals

• 1S. Arlot, R. Genuer.
  Comments on: "A Random Forest Guided Tour" by G. Biau and E. Scornet, in: Test, 2016, vol. 25, n^o 2, pp. 228–238, The final publication is available at Springer: http://dx.doi.org/10.1007/s11749-016-0484-4. [ DOI : 10.1007/s11749-016-0484-4 ]
  https://hal.archives-ouvertes.fr/hal-01297557
• 2G. Biau, K. Bleakley, B. Cadre.
  The Statistical Performance of Collaborative Inference, in: Journal of Machine Learning Research, 2016.
  https://hal.archives-ouvertes.fr/hal-01170254
• 3F. Chazal, P. Massart, B. Michel.
  Rates of convergence for robust geometric inference, in: Electronic journal of statistics , 2016, vol. 10, n^o 2, 44 p.
  https://hal.inria.fr/hal-01336913
• 4C. Lacour, P. Massart.
  Minimal penalty for Goldenshluger-Lepski method, in: Stochastic Processes and their Applications, December 2016, vol. 126, n^o 12, pp. 3774–3789. [ DOI : 10.1016/j.spa.2016.04.015 ]
  https://hal.archives-ouvertes.fr/hal-01121989

International Conferences with Proceedings

• 5M. Mariadassou, V. Brault, C. Keribin.
  Normalité asymptotique de l’estimateur du maximum de vraisemblance dans le modèle de blocs latents, in: 48èmes Journées de Statistique de la SFdS, Montpellier, France, 48èmes Journées de Statistique de la SFdS, May 2016.
  https://hal.inria.fr/hal-01440084

Conferences without Proceedings

• 6J.-P. Baudry, G. Celeux.
  What does ICL tell us about homogeneity for Model-Based Clustering?, in: Workshop on Model-Based Clustering and Classification, Catane, Italy, Salvatore Ingrassia, September 2016.
  https://hal.inria.fr/hal-01437468
• 7G. Celeux, A. White, J. Wyse.
  Comparing EM with a greedy search algorithm to optimize ICL for Poisson mixture models , in: Worshop on Model-Based Clustering, Paris, France, July 2016.
  https://hal.inria.fr/hal-01437459

Other Publications

• 8E. Aamari, C. Levrard.
  Stability and Minimax Optimality of Tangential Delaunay Complexes for Manifold Reconstruction, June 2016, working paper or preprint.
  https://hal.archives-ouvertes.fr/hal-01245479
• 9S. Arlot, A. Celisse, Z. Harchaoui.
  A kernel multiple change-point algorithm via model selection, March 2016, working paper or preprint.
  https://hal.archives-ouvertes.fr/hal-00671174
• 10N. El Haouij, J.-M. Poggi, R. E. Ghozi, S. Sevestre-Ghalila, M. Jaïdane.
  Random Forest-Based Approach for Physiological Functional Variable Selection: Towards Driver's Stress Level Classification, January 2017, working paper or preprint.
  https://hal.archives-ouvertes.fr/hal-01426752
• 11D. Garreau, S. Arlot.
  Consistent change-point detection with kernels, December 2016, working paper or preprint.
  https://hal.archives-ouvertes.fr/hal-01416704
• 12C. Lacour, P. Massart, V. Rivoirard.
  Estimator selection: a new method with applications to kernel density estimation, July 2016, working paper or preprint.
  https://hal.archives-ouvertes.fr/hal-01346081
• 13P. Sobczyk, M. Bogdan, J. Josse.
  Bayesian dimensionality reduction with PCA using penalized semi-integrated likelihood, 2016, 31 pages, 7 figures.
  https://hal.archives-ouvertes.fr/hal-01342815