matrix approximation

Efficient Algorithms and Error Analysis for the Modified Nystrom Method AISTATS 2014 Low Rank Approximation Lower Bounds in Row-Update Streams NeurIPS 2014 Memory Efficient Kernel Approximation ICML 2014 A Near-Optimal Algorithm for Differentially-Private Principal Components JMLR 2013 Local Low-Rank Matrix Approximation ICML 2013 Nyström Approximation for Large-Scale Determinantal Processes AISTATS 2013 Revisiting the Nystrom method for improved large-scale machine learning ICML 2013 A Scalable CUR Matrix Decomposition Algorithm: Lower Time Complexity and Tighter Bound NeurIPS 2012 Near-optimal Differentially Private Principal Components NeurIPS 2012 Learning low-rank output kernels ACML 2011 CUR from a Sparse Optimization Viewpoint NeurIPS 2010 Ensemble Nystrom Method NeurIPS 2009 QUIC-SVD: Fast SVD Using Cosine Trees NeurIPS 2008 Regularized Co-Clustering with Dual Supervision NeurIPS 2008 A Generalized Maximum Entropy Approach to Bregman Co-clustering and Matrix Approximation JMLR 2007 Doubly Stochastic Normalization for Spectral Clustering NeurIPS 2006