generalization bound

Rademacher Complexity Bounds for a Penalized Multi-class Semi-supervised Algorithm (Extended Abstract) IJCAI 2018 SGD Learns Over-parameterized Networks that Provably Generalize on Linearly Separable Data ICLR 2018 Stability and Generalization of Learning Algorithms that Converge to Global Optima ICML 2018 Stochastic Composite Mirror Descent: Optimal Bounds with High Probabilities NeurIPS 2018 Stronger Generalization Bounds for Deep Nets via a Compression Approach ICML 2018 Support Recovery for Orthogonal Matching Pursuit: Upper and Lower bounds NeurIPS 2018 The Generalization Error of Dictionary Learning with Moreau Envelopes ICML 2018 The Limits of Post-Selection Generalization NeurIPS 2018 To Understand Deep Learning We Need to Understand Kernel Learning ICML 2018 Understanding Generalization and Optimization Performance of Deep CNNs ICML 2018 A PAC-Bayesian Analysis of Randomized Learning with Application to Stochastic Gradient Descent NeurIPS 2017 Breaking the Curse of Dimensionality with Convex Neural Networks JMLR 2017 Efficient Kernel Selection via Spectral Analysis IJCAI 2017 Estimating individual treatment effect: generalization bounds and algorithms ICML 2017 Exploring Generalization in Deep Learning NeurIPS 2017 Generalization Properties of Learning with Random Features NeurIPS 2017 Learning Low-Dimensional Metrics NeurIPS 2017 Multi-Positive and Unlabeled Learning IJCAI 2017 Multi-task Learning with Labeled and Unlabeled Tasks ICML 2017 Nearest-Neighbor Sample Compression: Efficiency, Consistency, Infinite Dimensions NeurIPS 2017 Nearly optimal classification for semimetrics JMLR 2017 Spectrally-normalized margin bounds for neural networks NeurIPS 2017 A Consistent Regularization Approach for Structured Prediction NeurIPS 2016 Error Analysis of Generalized Nyström Kernel Regression NeurIPS 2016 Learnability of Non-I.I.D. ACML 2016