Optimization

Marginal Structured SVM with Hidden Variables ICML 2014 Matrix Completion with the Trace Norm: Learning, Bounding, and Transducing JMLR 2014 Maximum Persistency in Energy Minimization CVPR 2014 Median Selection Subset Aggregation for Parallel Inference NeurIPS 2014 Memory and Computation Efficient PCA via Very Sparse Random Projections ICML 2014 Message Passing Inference for Large Scale Graphical Models with High Order Potentials NeurIPS 2014 Min-Max Problems on Factor Graphs ICML 2014 Multi-Heuristic A* RSS 2014 Multilabel Structured Output Learning with Random Spanning Trees of Max-Margin Markov Networks NeurIPS 2014 Multi-Objective Reinforcement Learning using Sets of Pareto Dominating Policies JMLR 2014 Multi-period Trading Prediction Markets with Connections to Machine Learning ICML 2014 Multiscale Centerline Detection by Learning a Scale-Space Distance Transform CVPR 2014 Multi-Step Stochastic ADMM in High Dimensions: Applications to Sparse Optimization and Matrix Decomposition NeurIPS 2014 Multi-target Tracking with Motion Context in Tensor Power Iteration CVPR 2014 Multitask learning meets tensor factorization: task imputation via convex optimization NeurIPS 2014 Multivariate Regression with Calibration NeurIPS 2014 Near-Optimal Herding COLT 2014 New Algorithms for Learning Incoherent and Overcomplete Dictionaries COLT 2014 New Rules for Domain Independent Lifted MAP Inference NeurIPS 2014 Newton Greedy Pursuit: A Quadratic Approximation Method for Sparsity-Constrained Optimization CVPR 2014 Node-Based Learning of Multiple Gaussian Graphical Models JMLR 2014 Non-convex Robust PCA NeurIPS 2014 Nonlinear Graph Sparsification for SLAM RSS 2014 Nonnegative Sparse PCA with Provable Guarantees ICML 2014 On Integrated Clustering and Outlier Detection NeurIPS 2014