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Generalization Bounds

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Showing 351–400 of 686 papers

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
Heavy Tails in SGD and Compressibility of Overparametrized Neural NetworksCode0
Measuring Generalization with Optimal TransportCode1
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
Uniform Convergence of Interpolators: Gaussian Width, Norm Bounds and Benign Overfitting—0
Optimizing Information-theoretical Generalization Bound via Anisotropic Noise of SGLD—0
Identifying and Estimating Causal Effects under Weak Overlap by Generative Prognostic Model—0
Stability and Generalization of Stochastic Gradient Methods for Minimax ProblemsCode0
Information Complexity and Generalization Bounds—0
RATT: Leveraging Unlabeled Data to Guarantee GeneralizationCode0
Fine-grained Generalization Analysis of Vector-valued Learning—0
Generalization Guarantees for Neural Architecture Search with Train-Validation Split—0
Self-Bounding Majority Vote Learning Algorithms by the Direct Minimization of a Tight PAC-Bayesian C-BoundCode0
Group-Sparse Matrix Factorization for Transfer Learning of Word Embeddings—0
Generalization bounds via distillation—0
Generalization of GANs and overparameterized models under Lipschitz continuity—0
Stability and Deviation Optimal Risk Bounds with Convergence Rate O(1/n)—0
Mean-field methods and algorithmic perspectives for high-dimensional machine learning—0
PAC-Bayes and Information Complexity—0
Evaluation of Complexity Measures for Deep Learning Generalization in Medical Image AnalysisCode1
Generalization Bounds for Sparse Random Feature ExpansionsCode0
Self-Regularity of Non-Negative Output Weights for Overparameterized Two-Layer Neural Networks—0
Consistent Sparse Deep Learning: Theory and ComputationCode0
A Theory of Label Propagation for Subpopulation Shift—0
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