Christian Kümmerle
Christian Kümmerle
Postdoctoral Fellow, Johns Hopkins University
Verified email at jhu.edu - Homepage
Title
Cited by
Cited by
Year
Harmonic Mean Iteratively Reweighted Least Squares for Low-Rank Matrix Recovery
C Kümmerle, J Sigl
Journal of Machine Learning Research 19 (47), 2018
102018
A quotient property for matrices with heavy-tailed entries and its application to noise-blind compressed sensing
F Krahmer, C Kümmerle, H Rauhut
arXiv preprint arXiv:1806.04261, 2018
42018
Understanding and Enhancing Data Recovery Algorithms
C Kümmerle
Technische Universität München, 2019
22019
Completion of structured low-rank matrices via iteratively reweighted least squares
C Kümmerle, CM Verdun
2019 13th International conference on Sampling Theory and Applications …, 2019
12019
Denoising and completion of structured low-rank matrices via iteratively reweighted least squares
C Kümmerle, CM Verdun
arXiv preprint arXiv:1811.07472, 2018
12018
Escaping Saddle Points in Ill-Conditioned Matrix Completion with a Scalable Second Order Method
C Kümmerle, CM Verdun
arXiv preprint arXiv:2009.02905, 2020
2020
On the geometry of polytopes generated by heavy-tailed random vectors
O Guédon, F Krahmer, C Kümmerle, S Mendelson, H Rauhut
arXiv preprint arXiv:1907.07258, 2019
2019
The Oracle of DLphi
D Alfke, W Baines, J Blechschmidt, MJ Sarmina, A Drory, D Elbrächter, ...
arXiv preprint arXiv:1901.05744, 2019
2019
The system can't perform the operation now. Try again later.
Articles 1–8