Efficient Computing

Fast High-dimensional Kernel Summations Using the Monte Carlo Multipole Method NeurIPS 2008 LIBLINEAR: A Library for Large Linear Classification JMLR 2008 One sketch for all: Theory and Application of Conditional Random Sampling NeurIPS 2008 Optimization on a Budget: A Reinforcement Learning Approach NeurIPS 2008 Predictive Indexing for Fast Search NeurIPS 2008 QUIC-SVD: Fast SVD Using Cosine Trees NeurIPS 2008 Structural Improvement Filtering Strategy for PRM RSS 2008 A learning framework for nearest neighbor search NeurIPS 2007 Automatic Scheduling for Parallel Forward Dynamics Computation of Open Kinematic Chains RSS 2007 Context and Feature Sensitive Re-sampling from Discrete Surface Measurements RSS 2007 Dense Mapping for Range Sensors: Efficient Algorithms and Sparse Representations RSS 2007 Managing Power Consumption and Performance of Computing Systems Using Reinforcement Learning NeurIPS 2007 Multiple-Instance Pruning For Learning Efficient Cascade Detectors NeurIPS 2007 Random Features for Large-Scale Kernel Machines NeurIPS 2007 Ultrafast Monte Carlo for Statistical Summations NeurIPS 2007 A Hierarchy of Support Vector Machines for Pattern Detection JMLR 2006 Map-Reduce for Machine Learning on Multicore NeurIPS 2006 New Algorithms for Efficient High-Dimensional Nonparametric Classification JMLR 2006 Data Structure for Efficient Processing in 3-D RSS 2005 Efficient Computation of Gapped Substring Kernels on Large Alphabets JMLR 2005 On the Nystrom Method for Approximating a Gram Matrix for Improved Kernel-Based Learning JMLR 2005 Learning Ensembles from Bites: A Scalable and Accurate Approach JMLR 2004 The Entire Regularization Path for the Support Vector Machine JMLR 2004 Dimensionality Reduction via Sparse Support Vector Machines JMLR 2003 Grafting: Fast, Incremental Feature Selection by Gradient Descent in Function Space JMLR 2003