Paul Egels (pegels@lpsm.paris)

I do research in mathematics applied to statistics and machine learning. Currently, I am a PhD student at LPSM supervised by Prof. Ismaël Castillo.

My work focuses on high-dimensional statistics, in particular Bayesian nonparametrics, variational inference and Bayesian deep learning. I am also interested in approximation theory and other theoretical aspects of machine learning.

Preprint(s)

  1. Posterior and variational inference for deep neural networks with heavy-tailed weights, with Ismaël Castillo, [arXiv].
  2. Heavy-tailed and Horseshoe priors for regression and sparse Besov rate, with Sergios Agapiou & Ismaël Castillo, [arXiv].

Talks and posters

Teaching