1 code implementation • 5 May 2021 • Geoffrey Chinot, Felix Kuchelmeister, Matthias Löffler, Sara van de Geer
This paper studies binary classification in robust one-bit compressed sensing with adversarial errors.
no code implementations • 26 Feb 2021 • Christiane S. Lorenz, Lena Funcke, Matthias Löffler, Erminia Calabrese
We reconstruct the neutrino mass as a function of redshift, z, from current cosmological data using both standard binned priors and linear spline priors with variable knots.
Cosmology and Nongalactic Astrophysics High Energy Physics - Phenomenology
no code implementations • 1 Dec 2020 • Geoffrey Chinot, Matthias Löffler, Sara van de Geer
This article develops a general theory for minimum norm interpolating estimators and regularized empirical risk minimizers (RERM) in linear models in the presence of additive, potentially adversarial, errors.
no code implementations • 21 May 2020 • Matthias Löffler, Alexander S. Wein, Afonso S. Bandeira
We study statistical and computational limits of clustering when the means of the centres are sparse and their dimension is possibly much larger than the sample size.
no code implementations • 1 Nov 2019 • Matthias Löffler, Anderson Y. Zhang, Harrison H. Zhou
Spectral clustering is one of the most popular algorithms to group high dimensional data.