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generalization bound

652 papers

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learning theory (519) neural network (6616) stochastic gradient descent (1091) algorithmic stability (82) rademacher complexity (109) sample complexity (1169) generalization error (285) pac-bayes bound (53) kernel methods (1097) neural network optimization (1293)

Papers

Norm-Based Generalisation Bounds for Deep Multi-Class Convolutional Neural Networks AAAI 2021
Rethinking and Reweighting the Univariate Losses for Multi-Label Ranking: Consistency and Generalization NIPS 2021
Fractal Structure and Generalization Properties of Stochastic Optimization Algorithms NIPS 2021
Algorithmic stability and generalization of an unsupervised feature selection algorithm NIPS 2021
Uniform Convergence of Interpolators: Gaussian Width, Norm Bounds and Benign Overfitting NIPS 2021
Surrogate Regret Bounds for Polyhedral Losses NIPS 2021
Stability and Risk Bounds of Iterative Hard Thresholding AISTATS 2021
Stable Sample Compression Schemes: New Applications and an Optimal SVM Margin Bound ALT 2021
PAC-Bayes, MAC-Bayes and Conditional Mutual Information: Fast rate bounds that handle general VC classes COLT 2021
Information-Theoretic Generalization Bounds for Stochastic Gradient Descent COLT 2021
Stability & Generalisation of Gradient Descent for Shallow Neural Networks without the Neural Tangent Kernel NIPS 2021
On Uniform Convergence and Low-Norm Interpolation Learning NIPS 2020
Hausdorff Dimension, Heavy Tails, and Generalization in Neural Networks NIPS 2020
Generalization Guarantees for Sparse Kernel Approximation with Entropic Optimal Features ICML 2020
Bounding the expected run-time of nonconvex optimization with early stopping UAI 2020
PAC-Bayesian Contrastive Unsupervised Representation Learning UAI 2020
Topologically Densified Distributions ICML 2020
Cross-Lingual Document Retrieval with Smooth Learning COLING 2020
Stopping criterion for active learning based on deterministic generalization bounds AISTATS 2020
On Generalization Bounds of a Family of Recurrent Neural Networks AISTATS 2020
Dissecting Non-Vacuous Generalization Bounds based on the Mean-Field Approximation ICML 2020
Instance-based Generalization in Reinforcement Learning NIPS 2020
Consistent Structured Prediction with Max-Min Margin Markov Networks ICML 2020
Robust Regression for Safe Exploration in Control L4DC 2020
A Limitation of the PAC-Bayes Framework NIPS 2020