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Hung-Hsu Chou
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2020 – today
- 2023
- [c1]Mariia Seleznova, Dana Weitzner, Raja Giryes, Gitta Kutyniok, Hung-Hsu Chou:
Neural (Tangent Kernel) Collapse. NeurIPS 2023 - [i7]Hung-Hsu Chou, Holger Rauhut, Rachel A. Ward:
Robust Implicit Regularization via Weight Normalization. CoRR abs/2305.05448 (2023) - [i6]Mariia Seleznova, Dana Weitzner, Raja Giryes, Gitta Kutyniok, Hung-Hsu Chou:
Neural (Tangent Kernel) Collapse. CoRR abs/2305.16427 (2023) - [i5]Hung-Hsu Chou, Johannes Maly, Dominik Stöger:
How to induce regularization in generalized linear models: A guide to reparametrizing gradient flow. CoRR abs/2308.04921 (2023) - 2022
- [j1]Yuege Xie, Hung-Hsu Chou, Holger Rauhut, Rachel A. Ward:
Overparameterization and Generalization Error: Weighted Trigonometric Interpolation. SIAM J. Math. Data Sci. 4(2): 885-908 (2022) - [i4]Hung-Hsu Chou, Johannes Maly, Claudio Mayrink Verdun:
Non-negative Least Squares via Overparametrization. CoRR abs/2207.08437 (2022) - 2021
- [i3]Hung-Hsu Chou, Johannes Maly, Holger Rauhut:
More is Less: Inducing Sparsity via Overparameterization. CoRR abs/2112.11027 (2021) - 2020
- [i2]Yuege Xie, Rachel A. Ward, Holger Rauhut, Hung-Hsu Chou:
Weighted Optimization: better generalization by smoother interpolation. CoRR abs/2006.08495 (2020) - [i1]Hung-Hsu Chou, Carsten Gieshoff, Johannes Maly, Holger Rauhut:
Gradient Descent for Deep Matrix Factorization: Dynamics and Implicit Bias towards Low Rank. CoRR abs/2011.13772 (2020)
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