Publications

• Robust gradient estimation in the presence of heavy-tailed noise, Schaipp F, Simsekli U, Gower R, NeurIPS Workshop Heavy Tails in Machine Learning 2023.
• MoMo: Momentum Models for Adaptive Learning Rates, Schaipp F, Ohana R, Eickenberg M, Defazio A, Gower R, preprint 2023.
• A Stochastic Proximal Polyak Step Size, Schaipp F, Gower R, Ulbrich M, TMLR 2023.
• A Semismooth Newton Stochastic Proximal Point Algorithm with Variance Reduction, Milzarek A, Schaipp F, Ulbrich M, preprint 2022.
• GGLasso - a Python package for General Graphical Lasso computation, Schaipp F, Vlasovets O, Müller C, JOSS 2022.