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ORCIDAlain Celisse
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2020 – today
- 2020
[i2]Yaroslav Averyanov, Alain Celisse:
Early stopping and polynomial smoothing in regression with reproducing kernels. CoRR abs/2007.06827 (2020)- [i1]Yaroslav Averyanov, Alain Celisse:
Minimum discrepancy principle strategy for choosing k in k-NN regression. CoRR abs/2008.08718 (2020)
2010 – 2019
- 2019
- [j7]Sylvain Arlot, Alain Celisse, Zaïd Harchaoui:
A Kernel Multiple Change-point Algorithm via Model Selection. J. Mach. Learn. Res. 20: 162:1-162:56 (2019) - 2018
- [j6]Alain Celisse, Guillemette Marot
, Morgane Pierre-Jean, Guillem Rigaill:
New efficient algorithms for multiple change-point detection with reproducing kernels. Comput. Stat. Data Anal. 128: 200-220 (2018) - [j5]Alain Celisse, Tristan Mary-Huard:
Theoretical Analysis of Cross-Validation for Estimating the Risk of the $k$-Nearest Neighbor Classifier. J. Mach. Learn. Res. 19: 58:1-58:54 (2018) - 2014
- [j4]Quentin Grimonprez, Alain Celisse, Samuel Blanck, Meyling Cheok, Martin Figeac, Guillemette Marot:
MPAgenomics: an R package for multi-patient analysis of genomic markers. BMC Bioinform. 15: 394 (2014) - 2011
- [j3]Sylvain Arlot, Alain Celisse:
Segmentation of the mean of heteroscedastic data via cross-validation. Stat. Comput. 21(4): 613-632 (2011)
2000 – 2009
- 2009
- [j2]Mickaël Guedj, Stéphane Robin, Alain Celisse, Grégory Nuel:
Kerfdr: a semi-parametric kernel-based approach to local false discovery rate estimation. BMC Bioinform. 10 (2009) - 2008
- [j1]Alain Celisse, Stéphane Robin:
Nonparametric density estimation by exact leave-p-out cross-validation. Comput. Stat. Data Anal. 52(5): 2350-2368 (2008)
Coauthor Index
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