Fabian Schaipp

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 8

Top Topics

Proximal Point Algorithm

Top Venues

Trans. Mach. Learn. Res.

Publications

Andre Milzarek, Fabian Schaipp, Michael Ulbrich
A Semismooth Newton Stochastic Proximal Point Algorithm with Variance Reduction. SIAM J. Optim. 34 (1) (2024)
Fabian Schaipp, Guillaume Garrigos, Umut Simsekli, Robert M. Gower
SGD with Clipping is Secretly Estimating the Median Gradient. CoRR (2024)
Fabian Schaipp, Ruben Ohana, Michael Eickenberg, Aaron Defazio, Robert M. Gower
MoMo: Momentum Models for Adaptive Learning Rates. CoRR (2023)
Fabian Schaipp, Robert M. Gower, Michael Ulbrich
A Stochastic Proximal Polyak Step Size. CoRR (2023)
Guillaume Garrigos, Robert M. Gower, Fabian Schaipp
Function Value Learning: Adaptive Learning Rates Based on the Polyak Stepsize and Function Splitting in ERM. CoRR (2023)
Fabian Schaipp, Robert M. Gower, Michael Ulbrich
A Stochastic Proximal Polyak Step Size. Trans. Mach. Learn. Res. 2023 (2023)
Fabian Schaipp, Oleg Vlasovets, Christian Müller
GGLasso - a Python package for General Graphical Lasso computation. J. Open Source Softw. 6 (68) (2021)
Lars Wischhof, Fabian Schaipp, Stefan Schuhbäck, Gerta Köster
Simulation vs. Testbed: Small Scale Experimental Validation of an Open-Source LTE-A Model. PIMRC (2020)