Poster "implicit bias" Papers

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Convergence and Implicit Bias of Gradient Descent on Continual Linear Classification

Hyunji Jung, Hanseul Cho, Chulhee Yun

ICLR 2025arXiv:2504.12712

Convergence Rates for Gradient Descent on the Edge of Stability for Overparametrised Least Squares

Lachlan MacDonald, Hancheng Min, Leandro Palma et al.

NEURIPS 2025arXiv:2510.17506

Feature Averaging: An Implicit Bias of Gradient Descent Leading to Non-Robustness in Neural Networks

Binghui Li, Zhixuan Pan, Kaifeng Lyu et al.

ICLR 2025arXiv:2410.10322

Bias of Stochastic Gradient Descent or the Architecture: Disentangling the Effects of Overparameterization of Neural Networks

Amit Peleg, Matthias Hein

ICML 2024arXiv:2407.03848

Can Implicit Bias Imply Adversarial Robustness?

Hancheng Min, Rene Vidal

ICML 2024arXiv:2405.15942

Graph Neural Networks Use Graphs When They Shouldn't

Maya Bechler-Speicher, Ido Amos, Ran Gilad-Bachrach et al.

ICML 2024arXiv:2309.04332

Implicit Bias of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial States

Noam Razin, Yotam Alexander, Edo Cohen-Karlik et al.

ICML 2024arXiv:2402.07875

On the Implicit Bias of Adam

Matias Cattaneo, Jason Klusowski, Boris Shigida

ICML 2024arXiv:2309.00079

Simplicity Bias via Global Convergence of Sharpness Minimization

Khashayar Gatmiry, Zhiyuan Li, Sashank J. Reddi et al.

ICML 2024arXiv:2410.16401