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Generalization Bounds

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Showing 101–150 of 686 papers

TitleStatusHype
Towards Sharper Risk Bounds for Minimax Problems—0
Online-to-PAC generalization bounds under graph-mixing dependencies—0
Generalization Bounds and Model Complexity for Kolmogorov-Arnold Networks—0
Understanding Adversarially Robust Generalization via Weight-Curvature Index—0
Large Language Models as Markov Chains—0
Theoretical Insights into Fine-Tuning Attention Mechanism: Generalization and OptimizationCode0
Equivariant score-based generative models provably learn distributions with symmetries efficiently—0
Which Algorithms Have Tight Generalization Bounds?—0
Sample Compression Unleashed: New Generalization Bounds for Real Valued LossesCode0
Learning to Classify Quantum Phases of Matter with a Few Measurements—0
Introduction to Machine Learning—0
Online Optimization for Learning to Communicate over Time-Correlated Channels—0
A Markovian Model for Learning-to-Optimize—0
Misclassification excess risk bounds for PAC-Bayesian classification via convexified loss—0
Learning Decisions Offline from Censored Observations with ε-insensitive Operational Costs—0
Generalization bounds for regression and classification on adaptive covering input domains—0
Unlocking Tokens as Data Points for Generalization Bounds on Larger Language Models—0
Generalization Bounds of Surrogate Policies for Combinatorial Optimization Problems—0
Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms—0
A Generalization Bound for Nearly-Linear Networks—0
When Invariant Representation Learning Meets Label Shift: Insufficiency and Theoretical Insights—0
Optimal deep learning of holomorphic operators between Banach spaces—0
Generalization bounds for mixing processes via delayed online-to-PAC conversions—0
Pretraining Decision Transformers with Reward Prediction for In-Context Multi-task Structured Bandit Learning—0
A Manifold Perspective on the Statistical Generalization of Graph Neural Networks—0
Enhancing In-Context Learning Performance with just SVD-Based Weight Pruning: A Theoretical PerspectiveCode0
Slicing Mutual Information Generalization Bounds for Neural NetworksCode0
Unified PAC-Bayesian Study of Pessimism for Offline Policy Learning with Regularized Importance Sampling—0
On the Limitations of Fractal Dimension as a Measure of GeneralizationCode0
Generalization Bound and New Algorithm for Clean-Label Backdoor AttackCode0
Length independent generalization bounds for deep SSM architectures—0
A Margin-based Multiclass Generalization Bound via Geometric Complexity—0
Higher-Order Transformer Derivative Estimates for Explicit Pathwise Learning Guarantees—0
Fine-Grained Dynamic Framework for Bias-Variance Joint Optimization on Data Missing Not at Random—0
Score-based generative models are provably robust: an uncertainty quantification perspective—0
A rescaling-invariant Lipschitz bound based on path-metrics for modern ReLU network parameterizations—0
Generalization Bounds for Dependent Data using Online-to-Batch Conversion—0
Adaptive Data Analysis for Growing Data—0
Theoretical Analysis of Meta Reinforcement Learning: Generalization Bounds and Convergence Guarantees—0
Generalization Bounds for Causal Regression: Insights, Guarantees and Sensitivity AnalysisCode0
Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets—0
Improved Generalization Bounds for Communication Efficient Federated Learning—0
Stability and Generalization in Free Adversarial TrainingCode0
Information-Theoretic Generalization Bounds for Deep Neural Networks—0
Generalization Bounds for Message Passing Networks on Mixture of Graphons—0
An Information-Theoretic Framework for Out-of-Distribution Generalization with Applications to Stochastic Gradient Langevin Dynamics—0
A PAC-Bayesian Framework for Optimal Control with Stability GuaranteesCode0
A note on generalization bounds for losses with finite moments—0
Generalization of Scaled Deep ResNets in the Mean-Field Regime—0
Towards Robust Out-of-Distribution Generalization Bounds via Sharpness—0
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