Optimization

Parallel Inference for Latent Dirichlet Allocation on Graphics Processing Units NeurIPS 2009 Periodic Step Size Adaptation for Single Pass On-line Learning NeurIPS 2009 Positive Semidefinite Metric Learning with Boosting NeurIPS 2009 Potential-Based Agnostic Boosting NeurIPS 2009 Randomized Pruning: Efficiently Calculating Expectations in Large Dynamic Programs NeurIPS 2009 Rank-Approximate Nearest Neighbor Search: Retaining Meaning and Speed in High Dimensions NeurIPS 2009 Reproducing Kernel Banach Spaces for Machine Learning JMLR 2009 Robustness and Regularization of Support Vector Machines JMLR 2009 Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices via Convex Optimization NeurIPS 2009 Robust Value Function Approximation Using Bilinear Programming NeurIPS 2009 Semi-supervised Regression using Hessian energy with an application to semi-supervised dimensionality reduction NeurIPS 2009 Sensitivity analysis in HMMs with application to likelihood maximization NeurIPS 2009 SGD-QN: Careful Quasi-Newton Stochastic Gradient Descent JMLR 2009 Slow Learners are Fast NeurIPS 2009 Sparse and Locally Constant Gaussian Graphical Models NeurIPS 2009 Sparse Estimation Using General Likelihoods and Non-Factorial Priors NeurIPS 2009 Sparse Metric Learning via Smooth Optimization NeurIPS 2009 Sparse Online Learning via Truncated Gradient JMLR 2009 Speeding up Magnetic Resonance Image Acquisition by Bayesian Multi-Slice Adaptive Compressed Sensing NeurIPS 2009 Streaming k-means approximation NeurIPS 2009 Submanifold density estimation NeurIPS 2009 Submodularity Cuts and Applications NeurIPS 2009 The P-Norm Push: A Simple Convex Ranking Algorithm that Concentrates at the Top of the List JMLR 2009 Time-extended multi-robot coordination for domains with intra-path constraints RSS 2009 Unsupervised Feature Selection for the k-means Clustering Problem NeurIPS 2009