Patrice Bertail

According to our database1, Patrice Bertail authored at least 9 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

2008
2010
2012
2014
2016
2018
2020
2022
2024
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Legend:

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In proceedings 
Article 
PhD thesis 
Dataset
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Links

On csauthors.net:

Bibliography

2024
Exponential bounds for regularized Hotelling's T2 statistic in high dimension.
J. Multivar. Anal., 2024

2021
Learning from Biased Data: A Semi-Parametric Approach.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Statistical learning based on Markovian data maximal deviation inequalities and learning rates.
Ann. Math. Artif. Intell., 2020

2019
On Medians of (Randomized) Pairwise Means.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
Generalization Bounds for Minimum Volume Set Estimation based on Markovian Data.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2018

2016
Learning from Survey Training Samples: Rate Bounds for Horvitz-Thompson Risk Minimizers.
Proceedings of The 8th Asian Conference on Machine Learning, 2016

2014
Scaling up M-estimation via sampling designs: The Horvitz-Thompson stochastic gradient descent.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

2008
Approximate regenerative-block bootstrap for Markov chains.
Comput. Stat. Data Anal., 2008

On Bootstrapping the ROC Curve.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008


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