Portfolio item number 1
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Posts by Collection
portfolio
Portfolio item number 2
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publications
On the Use of Random Forest for Two-Sample Testing
Published in , 2019
This paper is about two-sample hypothesis test based on the random forest algorithm and out-of-bag error.
Recommended citation: Hediger et al. (2019). "On the Use of Random Forest for Two-Sample Testing. " arXiv preprint. https://arxiv.org/pdf/1903.06287.pdf
Novel approach to visualize the inter-dependencies between maternal sensitization, breast milk immune components and human milk oligosaccharides in the LIFE Child cohort
Published in , 2020
Here we aimed at visualizing breast milk component complex interactions in the context of the allergy status of the mother or the child.
Recommended citation: Michel et al. (2020). "Novel approach to visualize the inter-dependencies between maternal sensitization, breast milk immune components and human milk oligosaccharides in the LIFE Child cohort. " PLoS ONE, Volume 15. https://doi.org/10.1371/journal.pone.0230472
High Probability Lower Bounds for the Total Variance Distance
Published in , 2020
This paper introduce a framework for the construction of lower bounds for the total variation distance between two distributions based on samples.
Recommended citation: Michel et al. (2020). "High Probability Lower Bounds for the Total Variation Distance. " arXiv preprint. https://arxiv.org/pdf/2005.06006.pdf
Distributional Random Forests: Heterogeneity Adjustment and Multivariate Distributional Regression
Published in , 2020
This paper introduces distributional random forests.
Recommended citation: Michel et al. (2020). "High Probability Lower Bounds for the Total Variation Distance. " arXiv preprint. https://arxiv.org/pdf/2005.14458.pdf
Rlopt
Published in , 2021
title: “Solving optimal stopping problems with Deep Q-Learning” collection: publications permalink: /publication/2020-24-01-rlopt excerpt: ‘This paper is about application of reinforcement learning in the context of stopping problem in finance.’ date: 2021-01-24 venue: ‘’ paperurl: ‘https://arxiv.org/pdf/2101.09682 .pdf’ citation: ‘Hediger et al. (2019). "On the Use of Random Forest for Two-Sample Testing. " arXiv preprint.’ This paper is about application of reinforcement learning in the context of stopping problem in finance..
talks
DATA SCIENCE : Outil de décision d’avenir
Published:
Introduction to Data Science for prospective students at EPFL.
Data Mining in Action
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Presentation of the context of a data mining competition to master students in business analytics and data science.
Data Mining in Action
Published:
Presentation of the context of a data mining competition to master students in business analytics and data science.
teaching
Physics I
undergraduate course, Ecole Polytechnique Fédérale de Lausanne (EPFL), DMATH, 2013
Teaching assistant for first year students in mathematics for Prof. O. Schneider.
Advanced Analysis II
undergraduate course, Ecole Polytechnique Fédérale de Lausanne (EPFL), DMATH, 2014
Teaching assistant for first year students in mathematics for Prof. J. Krieger.
Advanced Analysis II
undergraduate course, Ecole Polytechnique Fédérale de Lausanne (EPFL), DMATH, 2015
Teaching assistant for first year students in mathematics for Prof. J. Krieger.
Discrete Optimization
undergraduate course, Ecole Polytechnique Fédérale de Lausanne (EPFL), DMATH, 2015
Teaching assistant for second year students in mathematics for Prof. F. Eisenbrand.
Linear Algebra I
Undergraduate course, Ecole Polytechnique Fédérale de Lausanne (EPFL), DMATH, 2015
Teaching assistant for first students in physics for Prof. M. Troyanov.
Probability and Statistics
undergraduate course, Ecole Polytechnique Fédérale de Lausanne (EPFL), DMATH, 2016
Teaching assistant for first year students in engineering for Prof. S. Morgenthaler.
Applied Stochastic Processes
undergraduate course, Ecole Polytechnique Fédérale de Lausanne (EPFL), DMATH, 2016
Teaching assistant for third year students in mathematics for Prof. S. Hautphenne and Prof. S. Engelke.
Applied Stochastic Processes
undergraduate course, Ecole Polytechnique Fédérale de Lausanne (EPFL), DMATH, 2017
Teaching assistant for third year students in mathematics for Prof. S. Hautphenne and Prof. S. Engelke.
Advanced Analysis II
undergraduate course, Ecole Polytechnique Fédérale de Lausanne (EPFL), DMATH, 2017
Teaching assistant for first year students in mathematics for Prof. J. Krieger.
Bayesian Statistics
graduate course, ETHZ, DMATH, Seminar for Statistics, 2017
teaching assistant for graduate students.
Advanced Analysis II
undergraduate course, Ecole Polytechnique Fédérale de Lausanne (EPFL), DMATH, 2017
Teaching assistant for first year students in mathematics for Prof. J. Krieger.
Time Series Analysis
graduate course, ETHZ, DMATH, Seminar for Statistics, 2018
teaching assistant for graduate students.
Computational Statistics
graduate course, ETHZ, DMATH, Seminar for Statistics, 2019
teaching assistant for graduate students.
Computational Statistics
graduate course, ETHZ, DMATH, Seminar for Statistics, 2021
teaching assistant for graduate students.