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Generalization Bounds

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Showing 151–175 of 686 papers

TitleStatusHype
A Generalization Bound of Deep Neural Networks for Dependent Data—0
Investigating the Ability of PINNs To Solve Burgers' PDE Near Finite-Time BlowUp—0
Understanding prompt engineering may not require rethinking generalization—0
Diffusion Random Feature Model—0
A path-norm toolkit for modern networks: consequences, promises and challengesCode0
Sharp Generalization of Transductive Learning: A Transductive Local Rademacher Complexity Approach—0
Fantastic Generalization Measures are Nowhere to be Found—0
Learning to Warm-Start Fixed-Point Optimization AlgorithmsCode1
Generalization Bounds: Perspectives from Information Theory and PAC-Bayes—0
Generalization Bound and Learning Methods for Data-Driven Projections in Linear Programming—0
Sample-Efficient Linear Representation Learning from Non-IID Non-Isotropic Data—0
Implicit Graph Neural Diffusion Networks: Convergence, Generalization, and Over-SmoothingCode0
Classification with Deep Neural Networks and Logistic Loss—0
Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural NetworksCode0
On the sample complexity of parameter estimation in logistic regression with normal design—0
Generalization Guarantees via Algorithm-dependent Rademacher Complexity—0
On Certified Generalization in Structured Prediction—0
A Unified Model and Dimension for Interactive Estimation—0
Improved Stability and Generalization Guarantees of the Decentralized SGD Algorithm—0
On Feature Diversity in Energy-based Models—0
Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation and Regression—0
Hypothesis Transfer Learning with Surrogate Classification Losses: Generalization Bounds through Algorithmic Stability—0
Online-to-PAC Conversions: Generalization Bounds via Regret Analysis—0
Generalization Bounds for Magnitude-Based Pruning via Sparse Matrix Sketching—0
How Does Information Bottleneck Help Deep Learning?Code1
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