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Generalization Bounds

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Showing 326–350 of 686 papers

TitleStatusHype
Improved Information Theoretic Generalization Bounds for Distributed and Federated Learning—0
Generalization in Cooperative Multi-Agent Systems—0
With Greater Distance Comes Worse Performance: On the Perspective of Layer Utilization and Model Generalization—0
Generalization in Supervised Learning Through Riemannian Contraction—0
On generalization bounds for deep networks based on loss surface implicit regularizationCode0
Stability Based Generalization Bounds for Exponential Family Langevin Dynamics—0
BARACK: Partially Supervised Group Robustness With Guarantees—0
Efficient and Reliable Overlay Networks for Decentralized Federated Learning—0
Generalization Error Bounds for Iterative Recovery Algorithms Unfolded as Neural Networks—0
Simple Stochastic and Online Gradient Descent Algorithms for Pairwise Learning—0
Generalization Bounds for Graph Embedding Using Negative Sampling: Linear vs Hyperbolic—0
Generalization Guarantee of SGD for Pairwise Learning—0
Generalization Bounds for (Wasserstein) Robust Optimization—0
Towards Sharper Generalization Bounds for Structured Prediction—0
On Predicting Generalization using GANs—0
Time-independent Generalization Bounds for SGLD in Non-convex Settings—0
Simple Stochastic and Online Gradient DescentAlgorithms for Pairwise LearningCode0
Learning Provably Robust Motion Planners Using Funnel Libraries—0
Understanding the Generalization Benefit of Model Invariance from a Data PerspectiveCode0
Towards a Unified Information-Theoretic Framework for Generalization—0
Learning on Random Balls is Sufficient for Estimating (Some) Graph Parameters—0
Improving Generalization Bounds for VC Classes Using the Hypergeometric Tail InversionCode0
PAC-Bayesian Learning of Aggregated Binary Activated Neural Networks with Probabilities over Representations—0
Does the Data Induce Capacity Control in Deep Learning?Code0
Optimizing Information-theoretical Generalization Bounds via Anisotropic Noise in SGLD—0
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