Co-occurring keywords · papers mentioning both
Papers
Query Efficient Structured Matrix Learning
COLT 2026
Adversarial Robust Generalization of Graph Neural Networks
ICML 2025
Generalization Analysis for Deep Contrastive Representation Learning
AAAI 2025
Generalization Analysis for Supervised Contrastive Representation Learning under Non-IID Settings
ICML 2025
How DNNs break the Curse of Dimensionality: Compositionality and Symmetry Learning
ICLR 2025
On the Generalization Ability of Next-Token-Prediction Pretraining
ICML 2025
On the Minimax Regret of Sequential Probability Assignment via Square-Root Entropy
COLT 2025
Bridging the Gap: Rademacher Complexity in Robust and Standard Generalization
COLT 2024
Correlated Binomial Process
COLT 2024
Exploring the Complexity of Deep Neural Networks through Functional Equivalence
ICML 2024
Functions with average smoothness: structure, algorithms, and learning
JMLR 2024
New Sample Complexity Bounds for Sample Average Approximation in Heavy-Tailed Stochastic Programming
ICML 2024
Sequence Length Independent Norm-Based Generalization Bounds for Transformers
AISTATS 2024
Uncertainty-Aware Reward-Free Exploration with General Function Approximation
ICML 2024
Generalization Analysis for Contrastive Representation Learning
ICML 2023
Generalization Bounds for Adversarial Metric Learning
IJCAI 2023
On Solution Functions of Optimization: Universal Approximation and Covering Number Bounds
AAAI 2023
Generalization Bounds for Stochastic Gradient Descent via Localized ε-Covers
NeurIPS 2022
KAM Theory Meets Statistical Learning Theory: Hamiltonian Neural Networks with Non-zero Training Loss
AAAI 2022
Minimax Regret on Patterns Using Kullback-Leibler Divergence Covering
COLT 2022
Robustness Implies Generalization via Data-Dependent Generalization Bounds
ICML 2022
Functions with average smoothness: structure, algorithms, and learning
COLT 2021
Majorizing Measures, Sequential Complexities, and Online Learning
COLT 2021
On the Estimation of Network Complexity: Dimension of Graphons
JMLR 2021
Relative Deviation Margin Bounds
ICML 2021