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	[ALT 2025] On Generalization Bounds for Neural Networks with Low Rank Layers (Gautam Kamath) View
	Generalization Bounds for Neural Networks (Ram Ganesh) View
	ICML 2022 long talk: Robustness Implies Generalization via Data-Dependent Generalization Bounds (Deep Learning Theory) View
	[ML/DL] PAC-Bayesian Bound for Deep Learning Models (Mark Chang) View
	NeurIPS 2019:Generalization Bounds of stochastic Gradient Descent for Wide and Deep Neural Networks (DSAI by Dr. Osbert Tay) View
	Generalization Bounds of SGLD for Non-convex Learning: Two Theoretical Viewpoints (COLT) View
	Generalization and Overfitting (Computational Thinking) View
	A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for Neural Networks (Talk) (techtalk st) View
	Lecture 9.1 — Overview of ways to improve generalization [Neural Networks for Machine Learning] (Colin McDonnell) View
	ICML 2023 - How Does Information Bottleneck Help Deep Learning (Deep Learning Theory) View