spectral norm

Fine-grained Optimization of Deep Neural Networks NeurIPS 2019 Learning Neural Networks with Adaptive Regularization NeurIPS 2019 The Singular Values of Convolutional Layers ICLR 2019 A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for Neural Networks ICLR 2018 Fully Understanding The Hashing Trick NeurIPS 2018 Matrix Norm Estimation from a Few Entries NeurIPS 2017 Minimax Estimation of Bandable Precision Matrices NeurIPS 2017 On the Power of Truncated SVD for General High-rank Matrix Estimation Problems NeurIPS 2017 Spectrally-normalized margin bounds for neural networks NeurIPS 2017 Fitting Spectral Decay with the k-Support Norm AISTATS 2016 New Perspectives on k-Support and Cluster Norms JMLR 2016 Precision Matrix Estimation in High Dimensional Gaussian Graphical Models with Faster Rates AISTATS 2016 Recovery guarantee of weighted low-rank approximation via alternating minimization ICML 2016 Single Pass PCA of Matrix Products NeurIPS 2016 An Explicit Sampling Dependent Spectral Error Bound for Column Subset Selection ICML 2015 Approximating Sparse PCA from Incomplete Data NeurIPS 2015 CUR Algorithm for Partially Observed Matrices ICML 2015 Fast Exact Matrix Completion with Finite Samples COLT 2015 Online PCA with Spectral Bounds COLT 2015 Spectral Norm Regularization of Orthonormal Representations for Graph Transduction NeurIPS 2015 Tensor Factorization via Matrix Factorization AISTATS 2015 Average Case Analysis of High-Dimensional Block-Sparse Recovery and Regression for Arbitrary Designs AISTATS 2014 Spectral k-Support Norm Regularization NeurIPS 2014 Sparse Principal Component Analysis for High Dimensional Multivariate Time Series AISTATS 2013 Clustered Multi-Task Learning: A Convex Formulation NeurIPS 2008