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Generalization Bounds

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TitleStatusHype
Risk Bounds and Calibration for a Smart Predict-then-Optimize Method—0
Risk Bounds for Low Cost Bipartite Ranking—0
Robust Generalization of Quadratic Neural Networks via Function Identification—0
Robust Model Evaluation over Large-scale Federated Networks—0
Robustness and Generalization for Metric Learning—0
Robustness Implies Generalization via Data-Dependent Generalization Bounds—0
Robust Regression for Safe Exploration in Control—0
Sample Complexity of Dictionary Learning and other Matrix Factorizations—0
Sample Compression Hypernetworks: From Generalization Bounds to Meta-Learning—0
Sample-Conditioned Hypothesis Stability Sharpens Information-Theoretic Generalization Bounds—0
Sample Efficiency of Data Augmentation Consistency Regularization—0
Scalable Matrix-valued Kernel Learning for High-dimensional Nonlinear Multivariate Regression and Granger Causality—0
Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel—0
Scaling Law for Stochastic Gradient Descent in Quadratically Parameterized Linear Regression—0
Score-based generative models are provably robust: an uncertainty quantification perspective—0
Self-Regularity of Non-Negative Output Weights for Overparameterized Two-Layer Neural Networks—0
Semi-Supervised Learning with Adversarially Missing Label Information—0
Separate And Diffuse: Using a Pretrained Diffusion Model for Improving Source Separation—0
SepIt: Approaching a Single Channel Speech Separation Bound—0
SeWA: Selective Weight Average via Probabilistic Masking—0
SGD Learns Over-parameterized Networks that Provably Generalize on Linearly Separable Data—0
Sharpened Generalization Bounds based on Conditional Mutual Information and an Application to Noisy, Iterative Algorithms—0
Sharper bounds for uniformly stable algorithms—0
Sharper Generalization Bounds for Learning with Gradient-dominated Objective Functions—0
Sharper Generalization Bounds for Pairwise Learning—0
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