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Quentin Klopfenstein
Second year, PhD student
Applied Mathematics, Machine Learning
Institut Mathématiques de Bourgogne, Université de Bourgogne

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About me

I am a second year PhD student in Applied Mathematics at IMB (Univ. de Bourgogne, France) under the supervision of H. Cardot and S. Vaiter. My PhD aims at regularizing an inverse problem that arises in the cancer research field in order to estimate the quantity of certain types of cells inside a tumor. This involves constrained optimization and we focused the first year of the PhD on constrained Support Vector Regression.


Recent publications

mail icon Q. Bertrand, QK, M. Blondel, S. Vaiter, A. Gramfort, J. Salmon. Implicit differentiation of Lasso-type models for hyperparameter optimization. arXiv e-prints, 2020

mail icon QK, Samuel Vaiter. Linear Support Vector Regression with Linear Constraints. arXiv e-prints, 2019


Contact

mail icon quentin.klopfenstein@u-bourgogne.fr

mail icon Institut Mathématiques de Bourgogne, Université de Bourgogne,
UFR Sciences et Techniques, Faculté des Sciences Mirandes, Aile A,
9 avenue Alain Savary, 21078 Dijon Cedex

Teaching experience

Teaching assistant Statistical inference, for second year economy bachelor students, (30h), 2020 Confidence interval and tests Definition of an estimator Maximum likelihood estimator and likelihood tests Introduction to statistics , for second year management bachelor students, (34h), 2019 Probability distributions (Binomial, Poisson, Gaussian) Confidence interval and tests (Mean, Variance and Proportion) Statistical inference, for second year economy bachelor students, (30h), 2018