Co-occurring keywords · papers mentioning both
Papers
How Does Pseudo-Labeling Affect the Generalization Error of the Semi-Supervised Gibbs Algorithm?
AISTATS 2023
How many samples are needed to leverage smoothness?
NeurIPS 2023
Improved Bound on Generalization Error of Compressed KNN Estimator
AISTATS 2023
Information-Theoretic Analysis of Unsupervised Domain Adaptation
ICLR 2023
Learning ReLU networks to high uniform accuracy is intractable
ICLR 2023
Learning Trajectories are Generalization Indicators
NeurIPS 2023
Long-Tailed Learning Requires Feature Learning
ICLR 2023
Multiple Robust Learning for Recommendation
AAAI 2023
Nearly Optimal VC-Dimension and Pseudo-Dimension Bounds for Deep Neural Network Derivatives
NeurIPS 2023
On Balancing Bias and Variance in Unsupervised Multi-Source-Free Domain Adaptation
ICML 2023
On double-descent in uncertainty quantification in overparametrized models
AISTATS 2023
On the Generalization Error of Stochastic Mirror Descent for Quadratically-Bounded Losses: an Improved Analysis
NeurIPS 2023
Optimality of Message-Passing Architectures for Sparse Graphs
NeurIPS 2023
Optimal Nonlinearities Improve Generalization Performance of Random Features
ACML 2023
Overparameterized Random Feature Regression with Nearly Orthogonal Data
AISTATS 2023
Supervision Complexity and its Role in Knowledge Distillation
ICLR 2023
The Onset of Variance-Limited Behavior for Networks in the Lazy and Rich Regimes
ICLR 2023
Theoretical Characterization of the Generalization Performance of Overfitted Meta-Learning
ICLR 2023
Theory on Forgetting and Generalization of Continual Learning
ICML 2023
The Value of Out-of-Distribution Data
ICML 2023
Tighter PAC-Bayes Bounds Through Coin-Betting
COLT 2023
Towards Understanding Ensemble Distillation in Federated Learning
ICML 2023
Tuning Frequency Bias in Neural Network Training with Nonuniform Data
ICLR 2023
Understanding Few-Shot Learning: Measuring Task Relatedness and Adaptation Difficulty via Attributes
NeurIPS 2023
Understanding How Consistency Works in Federated Learning via Stage-wise Relaxed Initialization
NeurIPS 2023