Patrice Bertail

According to our database, Patrice Bertail authored at least 8 papers between 2008 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Learning from Biased Data: A Semi-Parametric Approach.

Patrice Bertail, Stéphan Clémençon, Yannick Guyonvarch, Nathan Noiry

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Statistical learning based on Markovian data maximal deviation inequalities and learning rates.

Stéphan Clémençon, Patrice Bertail, Gabriela Ciolek

Ann. Math. Artif. Intell., 2020

2019

On Medians of (Randomized) Pairwise Means.

Stéphan Clémençon, Pierre Laforgue, Patrice Bertail

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Generalization Bounds for Minimum Volume Set Estimation based on Markovian Data.

Patrice Bertail, Gabriela Ciolek, Stéphan Clémençon

Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2018

2016

Learning from Survey Training Samples: Rate Bounds for Horvitz-Thompson Risk Minimizers.

Stéphan Clémençon, Patrice Bertail, Guillaume Papa

Proceedings of The 8th Asian Conference on Machine Learning, 2016

2014

Scaling up M-estimation via sampling designs: The Horvitz-Thompson stochastic gradient descent.

Stéphan Clémençon, Patrice Bertail, Emilie Chautru

Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

2008

Approximate regenerative-block bootstrap for Markov chains.

Patrice Bertail, Stéphan Clémençon

Comput. Stat. Data Anal., 2008

On Bootstrapping the ROC Curve.

Patrice Bertail, Stéphan Clémençon, Nicolas Vayatis

Proceedings of the Advances in Neural Information Processing Systems 21, 2008