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generalization bound

652 papers

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Co-occurring keywords

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

A Primal-Dual link between GANs and Autoencoders NIPS 2019
Generalization Bounds for Neural Networks via Approximate Description Length NIPS 2019
Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks NIPS 2019
Robustness to Adversarial Perturbations in Learning from Incomplete Data NIPS 2019
PAC-Bayes Un-Expected Bernstein Inequality NIPS 2019
Support and Invertibility in Domain-Invariant Representations AISTATS 2019
Average Individual Fairness: Algorithms, Generalization and Experiments NIPS 2019
Capacity Control of ReLU Neural Networks by Basis-Path Norm AAAI 2019
Stochastic Composite Mirror Descent: Optimal Bounds with High Probabilities NIPS 2018
Data-Dependent Stability of Stochastic Gradient Descent ICML 2018
Probably Approximately Metric-Fair Learning ICML 2018
Generalization Bounds for Regularized Pairwise Learning IJCAI 2018
Multi-Class Learning: From Theory to Algorithm NIPS 2018
Support Recovery for Orthogonal Matching Pursuit: Upper and Lower bounds NIPS 2018
Chaining Mutual Information and Tightening Generalization Bounds NIPS 2018
Data-dependent PAC-Bayes priors via differential privacy NIPS 2018
Learning Gaussian Processes by Minimizing PAC-Bayesian Generalization Bounds NIPS 2018
Overfitting or perfect fitting? Risk bounds for classification and regression rules that interpolate NIPS 2018
Minimax Statistical Learning with Wasserstein distances NIPS 2018
Learning latent variable structured prediction models with Gaussian perturbations NIPS 2018
Understanding Generalization and Optimization Performance of Deep CNNs ICML 2018
Dropout Training, Data-dependent Regularization, and Generalization Bounds ICML 2018
Stability and Generalization of Learning Algorithms that Converge to Global Optima ICML 2018
A Study of the Classification of Low-Dimensional Data with Supervised Manifold Learning JMLR 2018
Optimal Distributed Learning with Multi-pass Stochastic Gradient Methods ICML 2018