David Holzmüller

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 13

Top Topics

Multiple Regression

Top Venues

J. Mach. Learn. Res.

Frontiers Robotics AI

Publications

David Holzmüller, Léo Grinsztajn, Ingo Steinwart
Better by Default: Strong Pre-Tuned MLPs and Boosted Trees on Tabular Data. CoRR (2024)
Moritz Haas, David Holzmüller, Ulrike von Luxburg, Ingo Steinwart
Mind the spikes: Benign overfitting of kernels and neural networks in fixed dimension. CoRR (2023)
David Holzmüller, Francis Bach
Convergence Rates for Non-Log-Concave Sampling and Log-Partition Estimation. CoRR (2023)
David Holzmüller, Viktor Zaverkin, Johannes Kästner, Ingo Steinwart
A Framework and Benchmark for Deep Batch Active Learning for Regression. J. Mach. Learn. Res. 24 (2023)
Moritz Haas, David Holzmüller, Ulrike von Luxburg, Ingo Steinwart
Mind the spikes: Benign overfitting of kernels and neural networks in fixed dimension. NeurIPS (2023)
David Holzmüller, Ingo Steinwart
Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent. J. Mach. Learn. Res. 23 (2022)
David Holzmüller, Viktor Zaverkin, Johannes Kästner, Ingo Steinwart
A Framework and Benchmark for Deep Batch Active Learning for Regression. CoRR (2022)
David Holzmüller
On the Universality of the Double Descent Peak in Ridgeless Regression. ICLR (2021)
David Holzmüller, Ingo Steinwart
Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent. CoRR (2020)
David Holzmüller
On the Universality of the Double Descent Peak in Ridgeless Regression. CoRR (2020)
Daniel F. B. Haeufle, Isabell Wochner, David Holzmüller, Danny Driess, Michael Günther, Syn Schmitt
Muscles Reduce Neuronal Information Load: Quantification of Control Effort in Biological vs. Robotic Pointing and Walking. Frontiers Robotics AI 7 (2020)
David Holzmüller
Efficient Neighbor-Finding on Space-Filling Curves. CoRR (2017)
David Holzmüller
Improved Approximation Schemes for the Restricted Shortest Path Problem. CoRR (2017)