Learning with CVaR-based feedback under potentially heavy tails. - Matthew J. Holland; El Mehdi Haress (CoRR, 2020)

Learning with risk-averse feedback under potentially heavy tails. - Matthew J. Holland; El Mehdi Haress (AISTATS, 2021)

Spectral risk-based learning using unbounded losses. - Matthew J. Holland; El Mehdi Haress (AISTATS, 2022)

Numerical approximation of SDEs with fractional noise and distributional drift. - Ludovic Goudenège; El Mehdi Haress; Alexandre Richard (CoRR, 2023)

Numerical approximation of the stochastic heat equation with a distributional reaction term. - Ludovic Goudenège; El Mehdi Haress; Alexandre Richard (CoRR, 2024)

Approximation numérique et comportement en temps long de quelques équations stochastiques singulières. (Numerical approximation and long-time behaviour of some singular stochastic (partial) differential equations). - El Mehdi Haress (2024)