ICML 2024 "implicit bias" Papers
8 papers found
Beyond Implicit Bias: The Insignificance of SGD Noise in Online Learning
Nikhil Vyas, Depen Morwani, Rosie Zhao et al.
ICML 2024spotlightarXiv:2306.08590
Bias of Stochastic Gradient Descent or the Architecture: Disentangling the Effects of Overparameterization of Neural Networks
Amit Peleg, Matthias Hein
ICML 2024posterarXiv:2407.03848
Can Implicit Bias Imply Adversarial Robustness?
Hancheng Min, Rene Vidal
ICML 2024posterarXiv:2405.15942
Graph Neural Networks Use Graphs When They Shouldn't
Maya Bechler-Speicher, Ido Amos, Ran Gilad-Bachrach et al.
ICML 2024posterarXiv:2309.04332
How Uniform Random Weights Induce Non-uniform Bias: Typical Interpolating Neural Networks Generalize with Narrow Teachers
Gon Buzaglo, Itamar Harel, Mor Shpigel Nacson et al.
ICML 2024spotlightarXiv:2402.06323
Implicit Bias of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial States
Noam Razin, Yotam Alexander, Edo Cohen-Karlik et al.
ICML 2024posterarXiv:2402.07875
On the Implicit Bias of Adam
Matias Cattaneo, Jason Klusowski, Boris Shigida
ICML 2024posterarXiv:2309.00079
Simplicity Bias via Global Convergence of Sharpness Minimization
Khashayar Gatmiry, Zhiyuan Li, Sashank J. Reddi et al.
ICML 2024posterarXiv:2410.16401