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Generalization Bounds

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Showing 151–200 of 686 papers

TitleStatusHype
A Generalization Bound of Deep Neural Networks for Dependent Data—0
Investigating the Ability of PINNs To Solve Burgers' PDE Near Finite-Time BlowUp—0
Understanding prompt engineering may not require rethinking generalization—0
Diffusion Random Feature Model—0
A path-norm toolkit for modern networks: consequences, promises and challengesCode0
Sharp Generalization of Transductive Learning: A Transductive Local Rademacher Complexity Approach—0
Fantastic Generalization Measures are Nowhere to be Found—0
Learning to Warm-Start Fixed-Point Optimization AlgorithmsCode1
Generalization Bounds: Perspectives from Information Theory and PAC-Bayes—0
Generalization Bound and Learning Methods for Data-Driven Projections in Linear Programming—0
Sample-Efficient Linear Representation Learning from Non-IID Non-Isotropic Data—0
Implicit Graph Neural Diffusion Networks: Convergence, Generalization, and Over-SmoothingCode0
Classification with Deep Neural Networks and Logistic Loss—0
Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural NetworksCode0
On the sample complexity of parameter estimation in logistic regression with normal design—0
Generalization Guarantees via Algorithm-dependent Rademacher Complexity—0
On Certified Generalization in Structured Prediction—0
A Unified Model and Dimension for Interactive Estimation—0
Improved Stability and Generalization Guarantees of the Decentralized SGD Algorithm—0
On Feature Diversity in Energy-based Models—0
Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation and Regression—0
Online-to-PAC Conversions: Generalization Bounds via Regret Analysis—0
Hypothesis Transfer Learning with Surrogate Classification Losses: Generalization Bounds through Algorithmic Stability—0
Generalization Bounds for Magnitude-Based Pruning via Sparse Matrix Sketching—0
How Does Information Bottleneck Help Deep Learning?Code1
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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