Poster "gradient descent optimization" Papers

8 papers found

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Gradient descent with generalized Newton’s method

Zhiqi Bu, Shiyun Xu

ICLR 2025arXiv:2407.02772
8
citations

Scaling Laws for Gradient Descent and Sign Descent for Linear Bigram Models under Zipf’s Law

Frederik Kunstner, Francis Bach

NEURIPS 2025arXiv:2505.19227
12
citations

Variational Inference with Mixtures of Isotropic Gaussians

Marguerite Petit-Talamon, Marc Lambert, Anna Korba

NEURIPS 2025arXiv:2506.13613

Benign Overfitting in Two-Layer ReLU Convolutional Neural Networks for XOR Data

Xuran Meng, Difan Zou, Yuan Cao

ICML 2024arXiv:2310.01975
10
citations

How Graph Neural Networks Learn: Lessons from Training Dynamics

Chenxiao Yang, Qitian Wu, David Wipf et al.

ICML 2024arXiv:2310.05105
2
citations

Improving Sharpness-Aware Minimization by Lookahead

Runsheng Yu, Youzhi Zhang, James Kwok

ICML 2024

LoRA Training in the NTK Regime has No Spurious Local Minima

Uijeong Jang, Jason Lee, Ernest Ryu

ICML 2024arXiv:2402.11867
35
citations

Theoretical Guarantees for Variational Inference with Fixed-Variance Mixture of Gaussians

Tom Huix, Anna Korba, Alain Oliviero Durmus et al.

ICML 2024arXiv:2406.04012
10
citations