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

Coded Computing for Resilient Distributed Computing: A Learning-Theoretic Framework NIPS 2024
Least Squares Regression Can Exhibit Under-Parameterized Double Descent NIPS 2024
The effect of Leaky ReLUs on the training and generalization of overparameterized networks AISTATS 2024
A two-scale Complexity Measure for Deep Learning Models NIPS 2024
Multivariate Time Series Forecasting By Graph Attention Networks With Theoretical Guarantees AISTATS 2024
Deep Nonparametric Estimation of Operators between Infinite Dimensional Spaces JMLR 2024
On the Impacts of the Random Initialization in the Neural Tangent Kernel Theory NIPS 2024
Critical Gap Between Generalization Error and Empirical Error in Active Learning WACV 2024
Neural network learns low-dimensional polynomials with SGD near the information-theoretic limit NIPS 2024
Revealing Distribution Discrepancy by Sampling Transfer in Unlabeled Data NIPS 2024
Model Collapse Demystified: The Case of Regression NIPS 2024
Information-theoretic Generalization Analysis for Expected Calibration Error NIPS 2024
Pretraining with Random Noise for Fast and Robust Learning without Weight Transport NIPS 2024
IWBVT: Instance Weighting-based Bias-Variance Trade-off for Crowdsourcing NIPS 2024
Better-than-KL PAC-Bayes Bounds COLT 2024
The Sample Complexity of Gradient Descent in Stochastic Convex Optimization NIPS 2024
Generalization Error Bounds for Two-stage Recommender Systems with Tree Structure NIPS 2024
Test-Time Dynamic Image Fusion NIPS 2024
Robust Offline Active Learning on Graphs NIPS 2024
Dimension-free deterministic equivalents and scaling laws for random feature regression NIPS 2024
Benign Overfitting in Deep Neural Networks under Lazy Training ICML 2023
How Does Pseudo-Labeling Affect the Generalization Error of the Semi-Supervised Gibbs Algorithm? AISTATS 2023
Overparameterized Random Feature Regression with Nearly Orthogonal Data AISTATS 2023
Improved Bound on Generalization Error of Compressed KNN Estimator AISTATS 2023
Bidirectional Adaptation for Robust Semi-Supervised Learning with Inconsistent Data Distributions ICML 2023