Fabian Schaipp

According to our database, Fabian Schaipp authored at least 6 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

SGD with Clipping is Secretly Estimating the Median Gradient.

Fabian Schaipp, Guillaume Garrigos, Umut Simsekli, Robert M. Gower

CoRR, 2024

2023

A Stochastic Proximal Polyak Step Size.

Fabian Schaipp, Robert M. Gower, Michael Ulbrich

Trans. Mach. Learn. Res., 2023

Function Value Learning: Adaptive Learning Rates Based on the Polyak Stepsize and Function Splitting in ERM.

Guillaume Garrigos, Robert M. Gower, Fabian Schaipp

CoRR, 2023

MoMo: Momentum Models for Adaptive Learning Rates.

Fabian Schaipp, Ruben Ohana, Michael Eickenberg, Aaron Defazio, Robert M. Gower

CoRR, 2023

2021

GGLasso - a Python package for General Graphical Lasso computation.

Fabian Schaipp, Oleg Vlasovets, Christian Müller

J. Open Source Softw., 2021

2020

Simulation vs. Testbed: Small Scale Experimental Validation of an Open-Source LTE-A Model.

Lars Wischhof, Fabian Schaipp, Stefan Schuhbäck, Gerta Köster

Proceedings of the 31st IEEE Annual International Symposium on Personal, 2020