model compression

Fast Template Evaluation with Vector Quantization NeurIPS 2013 Predicting Parameters in Deep Learning NeurIPS 2013 Safe Screening of Non-Support Vectors in Pathwise SVM Computation ICML 2013 A Differentially Private Stochastic Gradient Descent Algorithm for Multiparty Classification AISTATS 2012 Breaking the Curse of Kernelization: Budgeted Stochastic Gradient Descent for Large-Scale SVM Training JMLR 2012 Scaling up Kernel SVM on Limited Resources: A Low-rank Linearization Approach AISTATS 2012 Collaborative Filtering on a Budget AISTATS 2010 Incremental Sparsification for Real-time Online Model Learning AISTATS 2010 Building Support Vector Machines with Reduced Classifier Complexity JMLR 2006 Simplifying Mixture Models through Function Approximation NeurIPS 2006 Support Vector Machines on a Budget NeurIPS 2006 Exact Simplification of Support Vector Solutions JMLR 2001