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Generalization Bounds

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TitleStatusHype
Learning Capacity: A Measure of the Effective Dimensionality of a Model—0
Federated Variational Inference: Towards Improved Personalization and Generalization—0
Fast Convergence in Learning Two-Layer Neural Networks with Separable Data—0
Uniform-in-Time Wasserstein Stability Bounds for (Noisy) Stochastic Gradient Descent—0
A unified framework for information-theoretic generalization bounds—0
Generalization Bounds for Neural Belief Propagation Decoders—0
Double-Weighting for Covariate Shift AdaptationCode0
Reinterpreting causal discovery as the task of predicting unobserved joint statistics—0
Towards Understanding Generalization of Macro-AUC in Multi-label LearningCode0
The Ideal Continual Learner: An Agent That Never ForgetsCode4
AdapterGNN: Parameter-Efficient Fine-Tuning Improves Generalization in GNNsCode1
Energy-guided Entropic Neural Optimal TransportCode1
Reweighted Mixup for Subpopulation Shift—0
Algorithm-Dependent Bounds for Representation Learning of Multi-Source Domain AdaptationCode0
Infinite-dimensional reservoir computing—0
Uncertainty Calibration for Counterfactual Propensity Estimation in RecommendationCode0
Lower Generalization Bounds for GD and SGD in Smooth Stochastic Convex Optimization—0
Fair Off-Policy Learning from Observational Data—0
Practicality of generalization guarantees for unsupervised domain adaptation with neural networks—0
Light Unbalanced Optimal Transport—0
Data-dependent Generalization Bounds via Variable-Size Compressibility—0
Provable Pathways: Learning Multiple Tasks over Multiple Paths—0
Transformed Low-Rank Parameterization Can Help Robust Generalization for Tensor Neural NetworksCode0
Generalization Error Bounds for Noisy, Iterative Algorithms via Maximal Leakage—0
Generalization Bounds for Set-to-Set Matching with Negative Sampling—0
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