11 citations · 12 across the 2 of their papers we have counts for
2 papers
cs.IT2020★ 1 cited
On the robustness of noise-blind low-rank recovery from rank-one measurements
Felix Krahmer, Christian Kümmerle, Oleh Melnyk
We prove new results about the robustness of well-known convex noise-blind optimization formulations for the reconstruction of low-rank matrices from underdetermined linear measure…
math.PR2018★ 11 cited
A Quotient Property for Matrices with Heavy-Tailed Entries and its Application to Noise-Blind Compressed Sensing
Felix Krahmer, Christian Kümmerle, Holger Rauhut
For a large class of random matrices with i.i.d. entries we show that the -quotient property holds with probability exponentially close to 1. In contrast to previous re…