conftrace_

generalization error

285 papers

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GE

Co-occurring keywords

generalization bound (652) stochastic gradient descent (1091) neural network (6616) learning theory (519) double descent (52) sample complexity (1169) active learning (1301) gradient descent (1144) support vector machine (978) neural network optimization (1293)

Papers

How Does Pseudo-Labeling Affect the Generalization Error of the Semi-Supervised Gibbs Algorithm? AISTATS 2023
Anonymous Learning via Look-Alike Clustering: A Precise Analysis of Model Generalization NIPS 2023
Overparameterized Random Feature Regression with Nearly Orthogonal Data AISTATS 2023
Understanding Few-Shot Learning: Measuring Task Relatedness and Adaptation Difficulty via Attributes NIPS 2023
Generalization error bounds for multiclass sparse linear classifiers JMLR 2023
Improved Bound on Generalization Error of Compressed KNN Estimator AISTATS 2023
GradPU: Positive-Unlabeled Learning via Gradient Penalty and Positive Upweighting AAAI 2023
Are Gaussian Data All You Need? The Extents and Limits of Universality in High-Dimensional Generalized Linear Estimation ICML 2023
Adaptive Data-Free Quantization CVPR 2023
How many samples are needed to leverage smoothness? NIPS 2023
On double-descent in uncertainty quantification in overparametrized models AISTATS 2023
Learning Trajectories are Generalization Indicators NIPS 2023
Understanding How Consistency Works in Federated Learning via Stage-wise Relaxed Initialization NIPS 2023
The Value of Out-of-Distribution Data ICML 2023
Dissecting the Effects of SGD Noise in Distinct Regimes of Deep Learning ICML 2023
Nearly Optimal VC-Dimension and Pseudo-Dimension Bounds for Deep Neural Network Derivatives NIPS 2023
What Can Be Learnt With Wide Convolutional Neural Networks? ICML 2023
Optimality of Message-Passing Architectures for Sparse Graphs NIPS 2023
Free Energy of Bayesian Convolutional Neural Network with Skip Connection ACML 2023
Graph Convolutional Kernel Machine versus Graph Convolutional Networks NIPS 2023
Multiple Robust Learning for Recommendation AAAI 2023
On the Generalization Error of Stochastic Mirror Descent for Quadratically-Bounded Losses: an Improved Analysis NIPS 2023
Bidirectional Adaptation for Robust Semi-Supervised Learning with Inconsistent Data Distributions ICML 2023
Benign Overfitting in Deep Neural Networks under Lazy Training ICML 2023
Theory on Forgetting and Generalization of Continual Learning ICML 2023