Hung-Hsu Chou

According to our database, Hung-Hsu Chou authored at least 15 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Implicit Regularization in Perturbed Deep Matrix Factorization: Spectral Conditions and Stability.

Jingzhe Wang, Hung-Hsu Chou

CoRR, May, 2026

Latent Structure Emergence in Diffusion Models via Confidence-Based Filtering.

Wei Wei, Yizhou Zeng, Kuntian Chen, Sophie Langer, Mariia Seleznova, Hung-Hsu Chou

CoRR, February, 2026

2025

Fast One-Pass Sparse Approximation of the Top Eigenvectors of Huge Low-Rank Matrices? Yes, MAM^*!

Edem Boahen, Simone Brugiapaglia, Hung-Hsu Chou, Mark A. Iwen, Felix Krahmer

CoRR, July, 2025

Conflicting Biases at the Edge of Stability: Norm versus Sharpness Regularization.

Vít Fojtík, Maria Matveev, Hung-Hsu Chou, Gitta Kutyniok, Johannes Maly

CoRR, May, 2025

GradPCA: Leveraging NTK Alignment for Reliable Out-of-Distribution Detection.

Mariia Seleznova, Hung-Hsu Chou, Claudio Mayrink Verdun, Gitta Kutyniok

CoRR, May, 2025

Get rid of your constraints and reparametrize: A study in NNLS and implicit bias.

Hung-Hsu Chou, Johannes Maly, Claudio Mayrink Verdun, Bernardo Freitas Paulo da Costa, Heudson Mirandola

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2023

How to induce regularization in generalized linear models: A guide to reparametrizing gradient flow.

Hung-Hsu Chou, Johannes Maly, Dominik Stöger

CoRR, 2023

Robust Implicit Regularization via Weight Normalization.

Hung-Hsu Chou, Holger Rauhut, Rachel A. Ward

CoRR, 2023

Neural (Tangent Kernel) Collapse.

Mariia Seleznova, Dana Weitzner, Raja Giryes, Gitta Kutyniok, Hung-Hsu Chou

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Overparameterization and Generalization Error: Weighted Trigonometric Interpolation.

Yuege Xie, Hung-Hsu Chou, Holger Rauhut, Rachel A. Ward

SIAM J. Math. Data Sci., June, 2022

Non-negative Least Squares via Overparametrization.

Hung-Hsu Chou, Johannes Maly, Claudio Mayrink Verdun

CoRR, 2022

2021

More is Less: Inducing Sparsity via Overparameterization.

Hung-Hsu Chou, Johannes Maly, Holger Rauhut

CoRR, 2021

2020

Accuracy, Efficiency and Optimization of Signal Fragmentation.

Russel Caflisch, Hung-Hsu Chou, Jonathan W. Siegel

Multiscale Model. Simul., 2020

Gradient Descent for Deep Matrix Factorization: Dynamics and Implicit Bias towards Low Rank.

Hung-Hsu Chou, Carsten Gieshoff, Johannes Maly, Holger Rauhut

CoRR, 2020

Weighted Optimization: better generalization by smoother interpolation.

Yuege Xie, Rachel A. Ward, Holger Rauhut, Hung-Hsu Chou

CoRR, 2020