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

Information-Theoretic Characterization of the Generalization Error for Iterative Semi-Supervised Learning JMLR 2022
An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift AISTATS 2022
Uniform Stability for First-Order Empirical Risk Minimization COLT 2022
Learning to Transfer with von Neumann Conditional Divergence AAAI 2022
Memorize to generalize: on the necessity of interpolation in high dimensional linear regression COLT 2022
Precise Learning Curves and Higher-Order Scalings for Dot-product Kernel Regression NIPS 2022
On Learning Fairness and Accuracy on Multiple Subgroups NIPS 2022
Spectral Pruning for Recurrent Neural Networks AISTATS 2022
Low-Pass Filtering SGD for Recovering Flat Optima in the Deep Learning Optimization Landscape AISTATS 2022
Regularized Modal Regression on Markov-Dependent Observations: A Theoretical Assessment AAAI 2022
Multi-scale Feature Learning Dynamics: Insights for Double Descent ICML 2022
Asymptotically Unbiased Instance-wise Regularized Partial AUC Optimization: Theory and Algorithm NIPS 2022
On Sample Optimality in Personalized Collaborative and Federated Learning NIPS 2022
A PAC-Bayesian Generalization Bound for Equivariant Networks NIPS 2022
The role of optimization geometry in single neuron learning AISTATS 2022
Diversity and Generalization in Neural Network Ensembles AISTATS 2022
On the Implicit Bias of Gradient Descent for Temporal Extrapolation AISTATS 2022
Active Labeling: Streaming Stochastic Gradients NIPS 2022
Rate-Distortion Theoretic Bounds on Generalization Error for Distributed Learning NIPS 2022
The curious case of adversarially robust models: More data can help, double descend, or hurt generalization UAI 2021
An Exact Characterization of the Generalization Error for the Gibbs Algorithm NIPS 2021
Training Data Subset Selection for Regression with Controlled Generalization Error ICML 2021
Model, sample, and epoch-wise descents: exact solution of gradient flow in the random feature model NIPS 2021
Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Sparse Neural Networks NIPS 2021
Fractal Structure and Generalization Properties of Stochastic Optimization Algorithms NIPS 2021