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Generalization Bounds

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Showing 401–450 of 686 papers

TitleStatusHype
Identifying and Estimating Causal Effects under Weak Overlap by Generative Prognostic Model—0
Stability and Generalization of Stochastic Gradient Methods for Minimax ProblemsCode0
Information Complexity and Generalization Bounds—0
RATT: Leveraging Unlabeled Data to Guarantee GeneralizationCode0
Generalization Guarantees for Neural Architecture Search with Train-Validation Split—0
Fine-grained Generalization Analysis of Vector-valued Learning—0
Self-Bounding Majority Vote Learning Algorithms by the Direct Minimization of a Tight PAC-Bayesian C-BoundCode0
Group-Sparse Matrix Factorization for Transfer Learning of Word Embeddings—0
Generalization bounds via distillation—0
Generalization of GANs and overparameterized models under Lipschitz continuity—0
Stability and Deviation Optimal Risk Bounds with Convergence Rate O(1/n)—0
Mean-field methods and algorithmic perspectives for high-dimensional machine learning—0
PAC-Bayes and Information Complexity—0
Generalization Bounds for Sparse Random Feature ExpansionsCode0
Self-Regularity of Non-Negative Output Weights for Overparameterized Two-Layer Neural Networks—0
Consistent Sparse Deep Learning: Theory and ComputationCode0
A Theory of Label Propagation for Subpopulation Shift—0
Generalization bounds for graph convolutional neural networks via Rademacher complexityCode0
Approximation and Learning with Deep Convolutional Models: a Kernel PerspectiveCode0
A PAC-Bayes Analysis of Adversarial RobustnessCode0
On the Sample Complexity of Stability Constrained Imitation Learning—0
A General Framework for the Practical Disintegration of PAC-Bayesian BoundsCode0
Lexicographically Fair Learning: Algorithms and Generalization—0
Generalization Bounds for Meta-Learning via PAC-Bayes and Uniform StabilityCode0
Dimension Free Generalization Bounds for Non Linear Metric Learning—0
Generalization of Model-Agnostic Meta-Learning Algorithms: Recurring and Unseen Tasks—0
Generalization Bounds for Noisy Iterative Algorithms Using Properties of Additive Noise Channels—0
Information-Theoretic Generalization Bounds for Stochastic Gradient Descent—0
Robustness to Augmentations as a Generalization metricCode0
Heating up decision boundaries: isocapacitory saturation, adversarial scenarios and generalization bounds—0
Stability analysis of SGD through the normalized loss function—0
Lipschitz-Bounded Equilibrium Networks—0
Learning Better Structured Representations Using Low-rank Adaptive Label Smoothing—0
f-Domain-Adversarial Learning: Theory and Algorithms for Unsupervised Domain Adaptation with Neural Networks—0
Beyond GNNs: A Sample Efficient Architecture for Graph Problems—0
Sharper Generalization Bounds for Learning with Gradient-dominated Objective Functions—0
Estimating Lipschitz constants of monotone deep equilibrium models—0
Effective Distributed Learning with Random Features: Improved Bounds and Algorithms—0
Robustness, Privacy, and Generalization of Adversarial TrainingCode0
A Tight Lower Bound for Uniformly Stable Algorithms—0
A PAC-Bayesian Approach to Generalization Bounds for Graph Neural Networks—0
NeurIPS 2020 Competition: Predicting Generalization in Deep Learning—0
Generalization bounds for deep learning—0
A PAC-Bayesian Perspective on Structured Prediction with Implicit Loss EmbeddingsCode0
Adapting Neural Architectures Between DomainsCode0
Sharper Generalization Bounds for Pairwise Learning—0
Conditioning and Processing: Techniques to Improve Information-Theoretic Generalization Bounds—0
Instance-based Generalization in Reinforcement Learning—0
Importance Weight Estimation and Generalization in Domain Adaptation under Label ShiftCode0
Neural Abstract Reasoner—0
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