Preprints and manuscripts

A. Carpentier, and N. Verzelen. Optimal Sparsity Testing in Linear regression Model. arXiv preprint arXiv:1901.08802, 2019. arXiv

J. Lam-Weil, A. Carpentier, and B. Sriperumbudur. Local minimax rates for closeness testing of discrete distributions. arXiv preprint arXiv:1902.01219, 2019. arXiv

M. Gutzeit. Minimax L_2-Separation Rate in Testing the Sobolev-Type Regularity of a function. arXiv preprint arXiv:1901.00880, 2019. arXiv

A. Carpentier, C. Duval, E. Mariucci. Total variation distance for discretely observed Lévy processes: a Gaussian approximation of the small jumps. arXv preprint arXiv:1810.02998, 2018. arXiv 

A. Carpentier, S. Delattre, E. Roquain, N. Verzelen. Estimating minimum effect with outlier selection. arXv preprint arXiv:1809.08330, 2018. arXiv

C. Vernade, A. Carpentier, G. Zappella, B. Ermis, and M. Brueckner. Contextual Bandits under Delayed Feedback, 2018. arXiv preprint arXiv:1807.02089, 2018. arXiv

A. Carpentier. De l’échantillonnage optimal en grande et petite dimension. PhD Thesis, AFIA ex-aequo accessit 2013, (french machine learning/artificial intelligence second price). .pdf

Last Modification: 18.09.2019 - Contact Person: Prof. Dr. Alexandra Carpentier