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Generalization Bounds

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TitleStatusHype
Generalization Error Bounds of Gradient Descent for Learning Over-parameterized Deep ReLU Networks—0
Data Augmentation vs. Equivariant Networks: A Theory of Generalization on Dynamics Forecasting—0
Generalization Bounds for Quantum Learning via Rényi Divergences—0
An Information-Theoretic Framework for Out-of-Distribution Generalization with Applications to Stochastic Gradient Langevin Dynamics—0
A Generalization Bound of Deep Neural Networks for Dependent Data—0
Convex Surrogate Loss Functions for Contextual Pricing with Transaction Data—0
Can SGD Learn Recurrent Neural Networks with Provable Generalization?—0
An Exponential Efron-Stein Inequality for Lq Stable Learning Rules—0
Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data—0
Chaining Mutual Information and Tightening Generalization Bounds—0
A Nonlinear Kernel Support Matrix Machine for Matrix Learning—0
Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics—0
Classification with Deep Neural Networks and Logistic Loss—0
Class-wise Generalization Error: an Information-Theoretic Analysis—0
On the Sample Complexity of Stability Constrained Imitation Learning—0
Boosting with the Logistic Loss is Consistent—0
Cold Posteriors through PAC-Bayes—0
A Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate Prediction—0
Generalization Bounds with Minimal Dependency on Hypothesis Class via Distributionally Robust Optimization—0
Complex-valued embeddings of generic proximity data—0
Compressing Heavy-Tailed Weight Matrices for Non-Vacuous Generalization Bounds—0
Compression Implies Generalization—0
Compute-Optimal LLMs Provably Generalize Better With Scale—0
Adaptive Data Analysis for Growing Data—0
Boosting the kernelized shapelets: Theory and algorithms for local features—0
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