SOTAVerified

Generalization Bounds

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 251–300 of 686 papers

TitleStatusHype
Generalization, Expressivity, and Universality of Graph Neural Networks on Attributed Graphs—0
Generalization Guarantee of SGD for Pairwise Learning—0
A Functional Perspective on Learning Symmetric Functions with Neural Networks—0
Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior—0
Infinite-dimensional reservoir computing—0
Improving Equivariant Networks with Probabilistic Symmetry Breaking—0
Dissecting Hessian: Understanding Common Structure of Hessian in Neural Networks—0
A unified recipe for deriving (time-uniform) PAC-Bayes bounds—0
A Markovian Model for Learning-to-Optimize—0
A Unified Model and Dimension for Interactive Estimation—0
Improved Stability and Generalization Guarantees of the Decentralized SGD Algorithm—0
Theoretical and Empirical Advances in Forest Pruning—0
Information Complexity and Generalization Bounds—0
Global Capacity Measures for Deep ReLU Networks via Path Sampling—0
Generalizing across Temporal Domains with Koopman Operators—0
Dimensionality-Dependent Generalization Bounds for k-Dimensional Coding Schemes—0
A unified framework for learning with nonlinear model classes from arbitrary linear samples—0
Generalization Through Growth: Hidden Dynamics Controls Depth Dependence—0
Improved Generalization Risk Bounds for Meta-Learning with PAC-Bayes-kl Analysis—0
Improved Information Theoretic Generalization Bounds for Distributed and Federated Learning—0
Dimension Free Generalization Bounds for Non Linear Metric Learning—0
Graph-based Generalization Bounds for Learning Binary Relations—0
Dimension Independent Generalization of DP-SGD for Overparameterized Smooth Convex Optimization—0
Graph Polynomial Convolution Models for Node Classification of Non-Homophilous Graphs—0
Generalization Bounds using Lower Tail Exponents in Stochastic Optimizers—0
Group-Sparse Matrix Factorization for Transfer Learning of Word Embeddings—0
Guaranteed Classification via Regularized Similarity Learning—0
Distribution-dependent concentration inequalities for tighter generalization bounds—0
Heating up decision boundaries: isocapacitory saturation, adversarial scenarios and generalization bounds—0
A Uniform Generalization Error Bound for Generative Adversarial Networks—0
Diffusion Random Feature Model—0
Higher-Order Generalization Bounds: Learning Deep Probabilistic Programs via PAC-Bayes Objectives—0
High probability generalization bounds for uniformly stable algorithms with nearly optimal rate—0
High Probability Generalization Bounds for Minimax Problems with Fast Rates—0
A Margin-based Multiclass Generalization Bound via Geometric Complexity—0
Generalization of Scaled Deep ResNets in the Mean-Field Regime—0
Generalization of Model-Agnostic Meta-Learning Algorithms: Recurring and Unseen Tasks—0
How To Prevent the Poor Performance Clients for Personalized Federated Learning?—0
How Well Can Generative Adversarial Networks Learn Densities: A Nonparametric View—0
Huber Additive Models for Non-stationary Time Series Analysis—0
Human Rademacher Complexity—0
Hypothesis Transfer Learning with Surrogate Classification Losses: Generalization Bounds through Algorithmic Stability—0
Identifying and Estimating Causal Effects under Weak Overlap by Generative Prognostic Model—0
Effective Distributed Learning with Random Features: Improved Bounds and Algorithms—0
Efficient and Reliable Overlay Networks for Decentralized Federated Learning—0
Dissecting Non-Vacuous Generalization Bounds based on the Mean-Field Approximation—0
Improved Generalization Bound for Deep Neural Networks Using Geometric Functional Analysis—0
Improved Generalization Bounds of Group Invariant / Equivariant Deep Networks via Quotient Feature Spaces—0
Improved Generalization Bounds for Communication Efficient Federated Learning—0
A unified framework for information-theoretic generalization bounds—0
Show:102550
← PrevPage 6 of 14Next →

No leaderboard results yet.