Belius, David

5 publications

TMLR 2025 A Thorough Reproduction and Evaluation of $\mu$P Georgios Vlassis, David Belius, Volodymyr Fomichov

NeurIPS 2024 A Comprehensive Analysis on the Learning Curve in Kernel Ridge Regression Tin Sum Cheng, Aurelien Lucchi, Anastasis Kratsios, David Belius

ICML 2024 Characterizing Overfitting in Kernel Ridgeless Regression Through the Eigenspectrum Tin Sum Cheng, Aurelien Lucchi, Anastasis Kratsios, David Belius

NeurIPS 2023 A Theoretical Analysis of the Test Error of Finite-Rank Kernel Ridge Regression Tin Sum Cheng, Aurelien Lucchi, Anastasis Kratsios, Ivan Dokmanić, David Belius

UAI 2022 Feature Learning and Random Features in Standard Finite-Width Convolutional Neural Networks: An Empirical Study Maxim Samarin, Volker Roth, David Belius