7 citations · 11 across the 17 of their papers we have counts for
4 papers · 1 filter
How to induce regularization in linear models: A guide to reparametrizing gradient flow
Hung-Hsu Chou, Johannes Maly, Dominik Stöger
In this work, we analyze the relation between reparametrizations of gradient flow and the induced implicit bias in linear models, which encompass various basic regression tasks. In…
Tuning-free one-bit covariance estimation using data-driven dithering
Sjoerd Dirksen, Johannes Maly
We consider covariance estimation of any subgaussian distribution from finitely many i.i.d. samples that are quantized to one bit of information per entry. Recent work has shown th…
Recovering Simultaneously Structured Data via Non-Convex Iteratively Reweighted Least Squares
Christian Kümmerle, Johannes Maly
We propose a new algorithm for the problem of recovering data that adheres to multiple, heterogeneous low-dimensional structures from linear observations. Focusing on data matrices…
Plug-in Channel Estimation with Dithered Quantized Signals in Spatially Non-Stationary Massive MIMO Systems
Tianyu Yang, Johannes Maly, Sjoerd Dirksen +1
As the array dimension of massive MIMO systems increases to unprecedented levels, two problems occur. First, the spatial stationarity assumption along the antenna elements is no lo…