Hung-Hsu Chou

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 9

Top Topics

Perceptron Learning

Matrix Factorization

Biologically Plausible

Top Venues

SIAM J. Math. Data Sci.

Publications

Mariia Seleznova, Dana Weitzner, Raja Giryes, Gitta Kutyniok, Hung-Hsu Chou
Neural (Tangent Kernel) Collapse. CoRR (2023)
Hung-Hsu Chou, Johannes Maly, Dominik Stöger
How to induce regularization in generalized linear models: A guide to reparametrizing gradient flow. CoRR (2023)
Hung-Hsu Chou, Holger Rauhut, Rachel Ward
Robust Implicit Regularization via Weight Normalization. CoRR (2023)
Mariia Seleznova, Dana Weitzner, Raja Giryes, Gitta Kutyniok, Hung-Hsu Chou
Neural (Tangent Kernel) Collapse. NeurIPS (2023)
Yuege Xie, Hung-Hsu Chou, Holger Rauhut, Rachel A. Ward
Overparameterization and Generalization Error: Weighted Trigonometric Interpolation. SIAM J. Math. Data Sci. 4 (2) (2022)
Hung-Hsu Chou, Johannes Maly, Claudio Mayrink Verdun
Non-negative Least Squares via Overparametrization. CoRR (2022)
Hung-Hsu Chou, Johannes Maly, Holger Rauhut
More is Less: Inducing Sparsity via Overparameterization. CoRR (2021)
Yuege Xie, Rachel Ward, Holger Rauhut, Hung-Hsu Chou
Weighted Optimization: better generalization by smoother interpolation. CoRR (2020)
Hung-Hsu Chou, Carsten Gieshoff, Johannes Maly, Holger Rauhut
Gradient Descent for Deep Matrix Factorization: Dynamics and Implicit Bias towards Low Rank. CoRR (2020)