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Generalization Bounds

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TitleStatusHype
Representation and Regression Problems in Neural Networks: Relaxation, Generalization, and Numerics—0
On Generalization Bounds for Neural Networks with Low Rank Layers—0
Smart Predict-then-Optimize Method with Dependent Data: Risk Bounds and Calibration of Autoregression—0
Multi-View Majority Vote Learning Algorithms: Direct Minimization of PAC-Bayesian Bounds—0
Generalization, Expressivity, and Universality of Graph Neural Networks on Attributed Graphs—0
A Convex Relaxation Approach to Generalization Analysis for Parallel Positively Homogeneous Networks—0
Generalization Bounds via Conditional f-InformationCode0
Robust Model Evaluation over Large-scale Federated Networks—0
On the Geometry of Regularization in Adversarial Training: High-Dimensional Asymptotics and Generalization Bounds—0
On Cold Posteriors of Probabilistic Neural Networks: Understanding the Cold Posterior Effect and A New Way to Learn Cold Posteriors with Tight Generalization GuaranteesCode0
Sample Compression Hypernetworks: From Generalization Bounds to Meta-Learning—0
On Rank-Dependent Generalisation Error Bounds for Transformers—0
Online-to-PAC generalization bounds under graph-mixing dependencies—0
Towards Sharper Risk Bounds for Minimax Problems—0
Understanding Adversarially Robust Generalization via Weight-Curvature Index—0
Generalization Bounds and Model Complexity for Kolmogorov-Arnold Networks—0
Theoretical Insights into Fine-Tuning Attention Mechanism: Generalization and OptimizationCode0
Large Language Models as Markov Chains—0
Which Algorithms Have Tight Generalization Bounds?—0
Equivariant score-based generative models provably learn distributions with symmetries efficiently—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
A Manifold Perspective on the Statistical Generalization of Graph Neural Networks—0
Pretraining Decision Transformers with Reward Prediction for In-Context Multi-task Structured Bandit Learning—0
Slicing Mutual Information Generalization Bounds for Neural NetworksCode0
Enhancing In-Context Learning Performance with just SVD-Based Weight Pruning: A Theoretical PerspectiveCode0
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
Score-based generative models are provably robust: an uncertainty quantification perspective—0
Fine-Grained Dynamic Framework for Bias-Variance Joint Optimization on Data Missing Not at Random—0
A rescaling-invariant Lipschitz bound based on path-metrics for modern ReLU network parameterizations—0
Adaptive Data Analysis for Growing Data—0
Generalization Bounds for Dependent Data using Online-to-Batch Conversion—0
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