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Generalization Bounds

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Showing 150 of 686 papers

TitleStatusHype
The Ideal Continual Learner: An Agent That Never ForgetsCode4
Effective Sample Size, Dimensionality, and Generalization in Covariate Shift AdaptationCode1
How Does Information Bottleneck Help Deep Learning?Code1
Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive LossCode1
PerAda: Parameter-Efficient Federated Learning Personalization with Generalization GuaranteesCode1
Deep Learning and the Information Bottleneck PrincipleCode1
Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-TuningCode1
Non-IID Transfer Learning on GraphsCode1
PAC-Bayesian Generalization Bounds for Knowledge Graph Representation LearningCode1
Principles and Algorithms for Forecasting Groups of Time Series: Locality and GlobalityCode1
The Complexity Dynamics of GrokkingCode1
Evaluation of Complexity Measures for Deep Learning Generalization in Medical Image AnalysisCode1
PAC Confidence Sets for Deep Neural Networks via Calibrated PredictionCode1
Optimal Auctions through Deep Learning: Advances in Differentiable EconomicsCode1
Non-Vacuous Generalization Bounds for Large Language ModelsCode1
In Search of Robust Measures of GeneralizationCode1
Measuring Generalization with Optimal TransportCode1
NICO++: Towards Better Benchmarking for Domain GeneralizationCode1
On PAC-Bayesian Bounds for Random ForestsCode1
PAC-Bayes Compression Bounds So Tight That They Can Explain GeneralizationCode1
PACOH: Bayes-Optimal Meta-Learning with PAC-GuaranteesCode1
Personalized Federated Learning through Local MemorizationCode1
Energy-guided Entropic Neural Optimal TransportCode1
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware MixupCode1
SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event DataCode1
Estimating individual treatment effect: generalization bounds and algorithmsCode1
Do Generated Data Always Help Contrastive Learning?Code1
Fast Interpretable Greedy-Tree SumsCode1
Out-of-distributional risk bounds for neural operators with applications to the Helmholtz equationCode1
SWAD: Domain Generalization by Seeking Flat MinimaCode1
Generalization Guarantees for Imitation LearningCode1
Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph DiffusionCode1
Improving Generalization by Controlling Label-Noise Information in Neural Network WeightsCode1
Bridging Theory and Algorithm for Domain AdaptationCode1
AdapterGNN: Parameter-Efficient Fine-Tuning Improves Generalization in GNNsCode1
Learning to Warm-Start Fixed-Point Optimization AlgorithmsCode1
Minimax Classification with 0-1 Loss and Performance GuaranteesCode1
Learning Robust State Abstractions for Hidden-Parameter Block MDPsCode1
Debiased Contrastive LearningCode1
Generalization Bounds for Sparse Random Feature ExpansionsCode0
Generalization Bound and New Algorithm for Clean-Label Backdoor AttackCode0
Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List StabilityCode0
Relative Flatness and GeneralizationCode0
Generalization Bounds for Causal Regression: Insights, Guarantees and Sensitivity AnalysisCode0
Escaping the Curse of Dimensionality in Similarity Learning: Efficient Frank-Wolfe Algorithm and Generalization BoundsCode0
Estimating the Success of Unsupervised Image to Image TranslationCode0
A PAC-Bayesian Framework for Optimal Control with Stability GuaranteesCode0
Algorithm-Dependent Bounds for Representation Learning of Multi-Source Domain AdaptationCode0
Graph Representational Learning: When Does More Expressivity Hurt Generalization?Code0
A PAC-Bayesian Analysis of Randomized Learning with Application to Stochastic Gradient DescentCode0
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