Christian Kümmerle

According to our database1, Christian Kümmerle authored at least 14 papers between 2018 and 2023.

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Bibliography

2023
Recovering Simultaneously Structured Data via Non-Convex Iteratively Reweighted Least Squares.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On the Convergence of IRLS and Its Variants in Outlier-Robust Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Learning Transition Operators From Sparse Space-Time Samples.
CoRR, 2022

Global Linear and Local Superlinear Convergence of IRLS for Non-Smooth Robust Regression.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Dictionary-Sparse Recovery From Heavy-Tailed Measurements.
CoRR, 2021

Iteratively Reweighted Least Squares for Basis Pursuit with Global Linear Convergence Rate.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Scalable Second Order Method for Ill-Conditioned Matrix Completion from Few Samples.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Iteratively Reweighted Least Squares for 𝓁<sub>1</sub>-minimization with Global Linear Convergence Rate.
CoRR, 2020

On the robustness of noise-blind low-rank recovery from rank-one measurements.
CoRR, 2020

Escaping Saddle Points in Ill-Conditioned Matrix Completion with a Scalable Second Order Method.
CoRR, 2020

2019
On the geometry of polytopes generated by heavy-tailed random vectors.
CoRR, 2019

The Oracle of DLphi.
CoRR, 2019

2018
Harmonic Mean Iteratively Reweighted Least Squares for Low-Rank Matrix Recovery.
J. Mach. Learn. Res., 2018

Denoising and Completion of Structured Low-Rank Matrices via Iteratively Reweighted Least Squares.
CoRR, 2018


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