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Generalization Bounds

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TitleStatusHype
Generalization Bounds for Causal Regression: Insights, Guarantees and Sensitivity AnalysisCode0
Generalization Bounds for Learning with Linear, Polygonal, Quadratic and Conic Side KnowledgeCode0
Enhancing In-Context Learning Performance with just SVD-Based Weight Pruning: A Theoretical PerspectiveCode0
Learning Gaussian Processes by Minimizing PAC-Bayesian Generalization BoundsCode0
Generalization Performance of Hypergraph Neural NetworksCode0
Model-Powered Conditional Independence TestCode0
Linear predictor on linearly-generated data with missing values: non consistency and solutionsCode0
Escaping the Curse of Dimensionality in Similarity Learning: Efficient Frank-Wolfe Algorithm and Generalization BoundsCode0
Stable Sample Compression Schemes: New Applications and an Optimal SVM Margin BoundCode0
Deep Networks as Logical Circuits: Generalization and Interpretation—0
Deep multi-Wasserstein unsupervised domain adaptation—0
A Theory of Label Propagation for Subpopulation Shift—0
Generalization Error Bounds for Noisy, Iterative Algorithms via Maximal Leakage—0
(Almost) No Label No Cry—0
Deep Distributed Optimization for Large-Scale Quadratic Programming—0
Decoupling Gating from Linearity—0
On Generalization of Decentralized Learning with Separable Data—0
A study of the classification of low-dimensional data with supervised manifold learning—0
A Limitation of the PAC-Bayes Framework—0
Adversarial Networks and Autoencoders: The Primal-Dual Relationship and Generalization Bounds—0
Generalization Bound and Learning Methods for Data-Driven Projections in Linear Programming—0
Data-Driven Neural Certificate Synthesis—0
Architecture independent generalization bounds for overparametrized deep ReLU networks—0
Data-Dependent Stability of Stochastic Gradient Descent—0
Data-Dependent Stability Analysis of Adversarial Training—0
A Rademacher Complexity Based Method fo rControlling Power and Confidence Level in Adaptive Statistical Analysis—0
Algorithms for Learning Kernels Based on Centered Alignment—0
Data-dependent PAC-Bayes priors via differential privacy—0
Data-dependent Generalization Bounds via Variable-Size Compressibility—0
A Primal-Dual link between GANs and Autoencoders—0
Data-Dependent Generalization Bounds for Parameterized Quantum Models Under Noise—0
Data-dependent Generalization Bounds for Multi-class Classification—0
Approximate Description Length, Covering Numbers, and VC Dimension—0
Algorithmic Stability of Stochastic Gradient Descent with Momentum under Heavy-Tailed Noise—0
Adversarial Multiple Source Domain Adaptation—0
A Convex Relaxation Approach to Generalization Analysis for Parallel Positively Homogeneous Networks—0
Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds—0
Data Augmentation vs. Equivariant Networks: A Theory of Generalization on Dynamics Forecasting—0
Apportioned Margin Approach for Cost Sensitive Large Margin Classifiers—0
Co-regularization Based Semi-supervised Domain Adaptation—0
Algorithmic Stability of Heavy-Tailed SGD with General Loss Functions—0
Convex Surrogate Loss Functions for Contextual Pricing with Transaction Data—0
Contrastive Learning Can Find An Optimal Basis For Approximately View-Invariant Functions—0
A PAC-Bayesian Tutorial with A Dropout Bound—0
Algorithm-Dependent Generalization Bounds for Overparameterized Deep Residual Networks—0
Adaptive Metric Dimensionality Reduction—0
From Optimization Dynamics to Generalization Bounds via Łojasiewicz Gradient Inequality—0
Confusion-Based Online Learning and a Passive-Aggressive Scheme—0
Generalization Bounds and Consistency for Latent Structural Probit and Ramp Loss—0
Conditioning and Processing: Techniques to Improve Information-Theoretic Generalization Bounds—0
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