conftrace_

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

The Generalization Error of Dictionary Learning with Moreau Envelopes ICML 2018
Entropy-SGD optimizes the prior of a PAC-Bayes bound: Generalization properties of Entropy-SGD and data-dependent priors ICML 2018
Adversarial Learning with Local Coordinate Coding ICML 2018
The Limits of Post-Selection Generalization NIPS 2018
Stronger Generalization Bounds for Deep Nets via a Compression Approach ICML 2018
Generalization Bounds for Uniformly Stable Algorithms NIPS 2018
Fast generalization error bound of deep learning from a kernel perspective AISTATS 2018
Average Stability is Invariant to Data Preconditioning. Implications to Exp-concave Empirical Risk Minimization JMLR 2018
Rademacher Complexity Bounds for a Penalized Multi-class Semi-supervised Algorithm (Extended Abstract) IJCAI 2018
To Understand Deep Learning We Need to Understand Kernel Learning ICML 2018
Learning Maximum-A-Posteriori Perturbation Models for Structured Prediction in Polynomial Time ICML 2018
Learning Low-Dimensional Metrics NIPS 2017
Multi-task Learning with Labeled and Unlabeled Tasks ICML 2017
Generalization Properties of Learning with Random Features NIPS 2017
A PAC-Bayesian Analysis of Randomized Learning with Application to Stochastic Gradient Descent NIPS 2017
Estimating individual treatment effect: generalization bounds and algorithms ICML 2017
Nearly optimal classification for semimetrics JMLR 2017
Nearest-Neighbor Sample Compression: Efficiency, Consistency, Infinite Dimensions NIPS 2017
Exploring Generalization in Deep Learning NIPS 2017
Breaking the Curse of Dimensionality with Convex Neural Networks JMLR 2017
Efficient Kernel Selection via Spectral Analysis IJCAI 2017
Multi-Positive and Unlabeled Learning IJCAI 2017
Spectrally-normalized margin bounds for neural networks NIPS 2017
PAC-Bayesian Theory Meets Bayesian Inference NIPS 2016
Stability and Generalization in Structured Prediction JMLR 2016