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Generalization Bounds

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TitleStatusHype
Generalization Bounds For Meta-Learning: An Information-Theoretic AnalysisCode0
Robust Generalization of Quadratic Neural Networks via Function Identification—0
Uniform Generalization Bounds for Overparameterized Neural Networks—0
The Impact of Reinitialization on Generalization in Convolutional Neural Networks—0
Layer-wise Adaptive Graph Convolution Networks Using Generalized Pagerank—0
Risk Bounds and Calibration for a Smart Predict-then-Optimize Method—0
Stability and Generalization for Randomized Coordinate Descent—0
Generalization Bounds using Lower Tail Exponents in Stochastic Optimizers—0
Generalization bounds for nonparametric regression with β-mixing samples—0
Statistically Meaningful Approximation: a Case Study on Approximating Turing Machines with Transformers—0
Multiaccurate Proxies for Downstream Fairness—0
Learning an Explicit Hyperparameter Prediction Function Conditioned on TasksCode0
Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization BoundCode0
Generalization Bounds with Minimal Dependency on Hypothesis Class via Distributionally Robust Optimization—0
Uniform Convergence of Interpolators: Gaussian Width, Norm Bounds, and Benign Overfitting—0
PAC-Bayes, MAC-Bayes and Conditional Mutual Information: Fast rate bounds that handle general VC classes—0
Compression Implies Generalization—0
Neural Optimization Kernel: Towards Robust Deep Learning—0
Towards Understanding Generalization via Decomposing Excess Risk Dynamics—0
Learning the optimal Tikhonov regularizer for inverse problemsCode0
Learning distinct features helps, provably—0
Fractal Structure and Generalization Properties of Stochastic Optimization Algorithms—0
Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive LossCode1
Robust Generalization despite Distribution Shift via Minimum Discriminating InformationCode0
Encoding-dependent generalization bounds for parametrized quantum circuits—0
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