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Generalization Bounds

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TitleStatusHype
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware MixupCode1
PerAda: Parameter-Efficient Federated Learning Personalization with Generalization GuaranteesCode1
Optimal Auctions through Deep Learning: Advances in Differentiable EconomicsCode1
Non-IID Transfer Learning on GraphsCode1
NICO++: Towards Better Benchmarking for Domain GeneralizationCode1
Bridging Theory and Algorithm for Domain AdaptationCode1
Effective Sample Size, Dimensionality, and Generalization in Covariate Shift AdaptationCode1
Deep Learning and the Information Bottleneck PrincipleCode1
Do Generated Data Always Help Contrastive Learning?Code1
AdapterGNN: Parameter-Efficient Fine-Tuning Improves Generalization in GNNsCode1
Estimating individual treatment effect: generalization bounds and algorithmsCode1
Fast Interpretable Greedy-Tree SumsCode1
Out-of-distributional risk bounds for neural operators with applications to the Helmholtz equationCode1
Improving Generalization by Controlling Label-Noise Information in Neural Network WeightsCode1
(Almost) No Label No Cry—0
A Limitation of the PAC-Bayes Framework—0
Adversarial Networks and Autoencoders: The Primal-Dual Relationship and Generalization Bounds—0
Algorithms for Learning Kernels Based on Centered Alignment—0
Algorithmic Stability of Stochastic Gradient Descent with Momentum under Heavy-Tailed Noise—0
Adversarial Multiple Source Domain Adaptation—0
A Convex Relaxation Approach to Generalization Analysis for Parallel Positively Homogeneous Networks—0
Algorithmic Stability of Heavy-Tailed SGD with General Loss Functions—0
Algorithm-Dependent Generalization Bounds for Overparameterized Deep Residual Networks—0
Adaptive Metric Dimensionality Reduction—0
Adaptive Data Analysis for Growing Data—0
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