Christian Kümmerle

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 19

Top Topics

Matrix Completion

Superlinear Convergence

Robust Regression

Structured Data

Top Venues

J. Mach. Learn. Res.

Publications

Nan Huang, Christian Kümmerle, Xiang Zhang
UnitNorm: Rethinking Normalization for Transformers in Time Series. CoRR (2024)
Ali Khaleghi Rahimian, Manish Kumar Govind, Subhajit Maity, Dominick Reilly, Christian Kümmerle, Srijan Das, Aritra Dutta
Fibottention: Inceptive Visual Representation Learning with Diverse Attention Across Heads. CoRR (2024)
Liangzu Peng, Christian Kümmerle, René Vidal
On the Convergence of IRLS and Its Variants in Outlier-Robust Estimation. CVPR (2023)
Christian Kümmerle, Johannes Maly
Recovering Simultaneously Structured Data via Non-Convex Iteratively Reweighted Least Squares. CoRR (2023)
Christian Kümmerle, Johannes Maly
Recovering Simultaneously Structured Data via Non-Convex Iteratively Reweighted Least Squares. NeurIPS (2023)
Liangzu Peng, Christian Kümmerle, René Vidal
Global Linear and Local Superlinear Convergence of IRLS for Non-Smooth Robust Regression. NeurIPS (2022)
Christian Kümmerle, Mauro Maggioni, Sui Tang
Learning Transition Operators From Sparse Space-Time Samples. CoRR (2022)
Christian Kümmerle, Claudio Mayrink Verdun
A Scalable Second Order Method for Ill-Conditioned Matrix Completion from Few Samples. ICML (2021)
Christian Kümmerle, Claudio Mayrink Verdun, Dominik Stöger
Iteratively Reweighted Least Squares for Basis Pursuit with Global Linear Convergence Rate. NeurIPS (2021)
Christian Kümmerle, Claudio Mayrink Verdun
A Scalable Second Order Method for Ill-Conditioned Matrix Completion from Few Samples. CoRR (2021)
Pedro Abdalla, Christian Kümmerle
Dictionary-Sparse Recovery From Heavy-Tailed Measurements. CoRR (2021)
Felix Krahmer, Christian Kümmerle, Oleh Melnyk
On the robustness of noise-blind low-rank recovery from rank-one measurements. CoRR (2020)
Christian Kümmerle, Claudio Mayrink Verdun, Dominik Stöger
-minimization with Global Linear Convergence Rate. CoRR (2020)
Christian Kümmerle, Claudio Mayrink Verdun
Escaping Saddle Points in Ill-Conditioned Matrix Completion with a Scalable Second Order Method. CoRR (2020)
Olivier Guédon, Felix Krahmer, Christian Kümmerle, Shahar Mendelson, Holger Rauhut
On the geometry of polytopes generated by heavy-tailed random vectors. CoRR (2019)
Dominik Alfke, Weston Baines, Jan Blechschmidt, Mauricio J. del Razo Sarmina, Amnon Drory, Dennis Elbrächter, Nando Farchmin, Matteo Gambara, Silke Glas, Philipp Grohs, Peter Hinz, Danijel Kivaranovic, Christian Kümmerle, Gitta Kutyniok, Sebastian Lunz, Jan MacDonald, Ryan Malthaner, Gregory Naisat, Ariel Neufeld, Philipp Christian Petersen, Rafael Reisenhofer, Jun-Da Sheng, Laura Thesing, Philipp Trunschke, Johannes von Lindheim, David Weber, Melanie Weber
The Oracle of DLphi. CoRR (2019)
Christian Kümmerle, Juliane Sigl
Harmonic Mean Iteratively Reweighted Least Squares for Low-Rank Matrix Recovery. J. Mach. Learn. Res. 19 (2018)
Christian Kümmerle, Claudio Mayrink Verdun
Denoising and Completion of Structured Low-Rank Matrices via Iteratively Reweighted Least Squares. CoRR (2018)
Christian Kümmerle, Juliane Sigl
Harmonic Mean Iteratively Reweighted Least Squares for Low-Rank Matrix Recovery. CoRR (2017)