conftrace_

generalization bound

652 papers

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Co-occurring keywords

learning theory (519) neural network (6616) stochastic gradient descent (1091) algorithmic stability (82) rademacher complexity (109) sample complexity (1169) generalization error (285) pac-bayes bound (53) kernel methods (1097) neural network optimization (1293)

Papers

One-step Label Shift Adaptation via Robust Weight Estimation IJCAI 2025
Stability-based Generalization Analysis of Randomized Coordinate Descent for Pairwise Learning AAAI 2025
Improving Generalization in Meta-Learning via Meta-Gradient Augmentation IJCAI 2025
Optimal deep learning of holomorphic operators between Banach spaces NIPS 2024
Sharp error bounds for imbalanced classification: how many examples in the minority class? AISTATS 2024
Generalization Bounds of Nonconvex-(Strongly)-Concave Stochastic Minimax Optimization AISTATS 2024
Understanding Generalization of Federated Learning via Stability: Heterogeneity Matters AISTATS 2024
Towards Understanding How Transformers Learn In-context Through a Representation Learning Lens NIPS 2024
On the Limitations of Fractal Dimension as a Measure of Generalization NIPS 2024
Towards Stability and Generalization Bounds in Decentralized Minibatch Stochastic Gradient Descent AAAI 2024
Controlling Multiple Errors Simultaneously with a PAC-Bayes Bound NIPS 2024
Grounding and Enhancing Grid-based Models for Neural Fields CVPR 2024
MEPSI: An MDL-Based Ensemble Pruning Approach with Structural Information AAAI 2024
Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learning NIPS 2024
Multi-class Probabilistic Bounds for Majority Vote Classifiers with Partially Labeled Data JMLR 2024
Rethinking Propagation for Unsupervised Graph Domain Adaptation AAAI 2024
Generalization Bounds via Conditional $f$-Information NIPS 2024
Multivariate Time Series Forecasting By Graph Attention Networks With Theoretical Guarantees AISTATS 2024
Non-vacuous Generalization Bounds for Adversarial Risk in Stochastic Neural Networks AISTATS 2024
Towards Sharper Generalization Bounds for Adversarial Contrastive Learning IJCAI 2024
On the Generalization Ability of Unsupervised Pretraining AISTATS 2024
Near-Interpolators: Rapid Norm Growth and the Trade-Off between Interpolation and Generalization AISTATS 2024
Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures AISTATS 2024
Comparing Comparators in Generalization Bounds AISTATS 2024
The Sample Complexity of Gradient Descent in Stochastic Convex Optimization NIPS 2024