conftrace_

generalization error

285 papers

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Also known as

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

Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach NIPS 2021
Fast rates for prediction with limited expert advice NIPS 2021
What Causes the Test Error? Going Beyond Bias-Variance via ANOVA JMLR 2021
SGD Generalizes Better Than GD (And Regularization Doesn’t Help) COLT 2021
A Priori Generalization Analysis of the Deep Ritz Method for Solving High Dimensional Elliptic Partial Differential Equations COLT 2021
Model Performance Scaling with Multiple Data Sources ICML 2021
Generalization error in high-dimensional perceptrons: Approaching Bayes error with convex optimization NIPS 2020
Kernel Alignment Risk Estimator: Risk Prediction from Training Data NIPS 2020
What Neural Networks Memorize and Why: Discovering the Long Tail via Influence Estimation NIPS 2020
Minimax Lower Bounds for Transfer Learning with Linear and One-hidden Layer Neural Networks NIPS 2020
Sampling Without Compromising Accuracy in Adaptive Data Analysis ALT 2020
Optimization and Generalization of Shallow Neural Networks with Quadratic Activation Functions NIPS 2020
Generalisation error in learning with random features and the hidden manifold model ICML 2020
Spectral Pruning: Compressing Deep Neural Networks via Spectral Analysis and its Generalization Error IJCAI 2020
Information-Theoretic Understanding of Population Risk Improvement with Model Compression AAAI 2020
The Role of Regularization in Classification of High-dimensional Noisy Gaussian Mixture ICML 2020
In Defense of Uniform Convergence: Generalization via Derandomization with an Application to Interpolating Predictors ICML 2020
A Generalized Neural Tangent Kernel Analysis for Two-layer Neural Networks NIPS 2020
Subspace Fitting Meets Regression: The Effects of Supervision and Orthonormality Constraints on Double Descent of Generalization Errors ICML 2020
Triple descent and the two kinds of overfitting: where & why do they appear? NIPS 2020
Invariant Causal Prediction for Block MDPs ICML 2020
A Dynamical Central Limit Theorem for Shallow Neural Networks NIPS 2020
On the universality of deep learning NIPS 2020
Decision trees as partitioning machines to characterize their generalization properties NIPS 2020
Towards Problem-dependent Optimal Learning Rates NIPS 2020