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Generalization Bounds

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Showing 376–400 of 686 papers

TitleStatusHype
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
Towards Understanding Generalization via Decomposing Excess Risk Dynamics—0
Neural Optimization Kernel: Towards Robust Deep Learning—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
Robust Generalization despite Distribution Shift via Minimum Discriminating InformationCode0
Encoding-dependent generalization bounds for parametrized quantum circuits—0
Heavy Tails in SGD and Compressibility of Overparametrized Neural NetworksCode0
Fine-grained Generalization Analysis of Structured Output Prediction—0
Towards optimally abstaining from prediction with OOD test examples—0
Compressing Heavy-Tailed Weight Matrices for Non-Vacuous Generalization Bounds—0
Optimizing Information-theoretical Generalization Bound via Anisotropic Noise of SGLD—0
Uniform Convergence of Interpolators: Gaussian Width, Norm Bounds and Benign Overfitting—0
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