Harmonic Mean Iteratively Reweighted Least Squares for Low-Rank Matrix Recovery C Kümmerle, J Sigl Journal of Machine Learning Research 19 (47), 2018 | 32 | 2018 |
Iteratively reweighted least squares for basis pursuit with global linear convergence rate C Kümmerle, C Mayrink Verdun, D Stöger Advances in Neural Information Processing Systems 34, 2873-2886, 2021 | 16* | 2021 |
A scalable second order method for ill-conditioned matrix completion from few samples C Kümmerle, CM Verdun International Conference on Machine Learning, 5872-5883, 2021 | 15 | 2021 |
On the convergence of IRLS and its variants in outlier-robust estimation L Peng, C Kümmerle, R Vidal Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 10 | 2023 |
Global linear and local superlinear convergence of IRLS for non-smooth robust regression L Peng, C Kümmerle, R Vidal Advances in neural information processing systems 35, 28972-28987, 2022 | 10 | 2022 |
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 | 9 | 2018 |
On the geometry of polytopes generated by heavy-tailed random vectors O Guédon, F Krahmer, C Kümmerle, S Mendelson, H Rauhut Communications in Contemporary Mathematics 24 (03), 2150056, 2022 | 8 | 2022 |
Understanding and Enhancing Data Recovery Algorithms C Kümmerle Technische Universität München, 2019 | 6 | 2019 |
On the robustness of noise-blind low-rank recovery from rank-one measurements F Krahmer, C Kümmerle, O Melnyk Linear Algebra and its Applications 652, 37-81, 2022 | 5 | 2022 |
Escaping Saddle Points in Ill-Conditioned Matrix Completion with a Scalable Second Order Method C Kümmerle, CM Verdun Workshop on "Beyond First Order Methods in Machine Learning Systems", ICML 2020, 2020 | 4 | 2020 |
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 | 4 | 2019 |
Recovering Simultaneously Structured Data via Non-Convex Iteratively Reweighted Least Squares C Kümmerle, J Maly Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
Learning transition operators from sparse space-time samples C Kümmerle, M Maggioni, S Tang arXiv preprint arXiv:2212.00746, 2022 | 1 | 2022 |
Denoising and Completion of Structured Low-Rank Matrices via Iteratively Reweighted Least Squares C Kümmerle, CM Verdun iTWIST '18: international Traveling Workshop on Interactions between low …, 2018 | 1 | 2018 |
Dictionary-Sparse Recovery From Heavy-Tailed Measurements P Abdalla, C Kümmerle Information and Inference: A Journal of the IMA, 2022 | | 2022 |
The Oracle of DLphi D Alfke, W Baines, J Blechschmidt, MJ Sarmina, A Drory, D Elbrächter, ... arXiv preprint arXiv:1901.05744, 2019 | | 2019 |
On the Convergence of IRLS and Its Variants in Outlier-Robust Estimation: Main Paper+ Supplementary Materials L Peng, C Kümmerle, R Vidal | | |