generalization error

Data-Dependent Stability of Stochastic Gradient Descent ICML 2018 Finite Sample Analysis of LSTD with Random Projections and Eligibility Traces IJCAI 2018 Generalization Bounds of SGLD for Non-convex Learning: Two Theoretical Viewpoints COLT 2018 Learning Overparameterized Neural Networks via Stochastic Gradient Descent on Structured Data NeurIPS 2018 Learning To Learn Around A Common Mean NeurIPS 2018 On Similarity Prediction and Pairwise Clustering ALT 2018 Orthogonality-Promoting Distance Metric Learning: Convex Relaxation and Theoretical Analysis ICML 2018 Parallelizing Stochastic Gradient Descent for Least Squares Regression: Mini-batching, Averaging, and Model Misspecification JMLR 2018 Sensitivity and Generalization in Neural Networks: an Empirical Study ICLR 2018 Support Recovery for Orthogonal Matching Pursuit: Upper and Lower bounds NeurIPS 2018 The committee machine: Computational to statistical gaps in learning a two-layers neural network NeurIPS 2018 Training Neural Networks Using Features Replay NeurIPS 2018 Understanding Weight Normalized Deep Neural Networks with Rectified Linear Units NeurIPS 2018 When do random forests fail? NeurIPS 2018 Algorithmic Stability and Hypothesis Complexity ICML 2017 A Sample Complexity Measure with Applications to Learning Optimal Auctions NeurIPS 2017 A Second-order Look at Stability and Generalization COLT 2017 Breaking the Curse of Dimensionality with Convex Neural Networks JMLR 2017 Convexified Convolutional Neural Networks ICML 2017 Distributed Semi-supervised Learning with Kernel Ridge Regression JMLR 2017 Generalization Error of Invariant Classifiers AISTATS 2017 Improving the Generalization Performance of Multi-class SVM via Angular Regularization IJCAI 2017 Information-theoretic analysis of generalization capability of learning algorithms NeurIPS 2017 Learning Latent Space Models with Angular Constraints ICML 2017 Learning Low-Dimensional Metrics NeurIPS 2017