Mathematics & Optimization

Kernel-PCA Analysis of Surface Normals for Shape-from-Shading CVPR 2014 l0 Norm Based Dictionary Learning by Proximal Methods with Global Convergence CVPR 2014 Large-Margin Convex Polytope Machine NeurIPS 2014 large scale canonical correlation analysis with iterative least squares NeurIPS 2014 Large-scale L-BFGS using MapReduce NeurIPS 2014 Latent Variable Copula Inference for Bundle Pricing from Retail Transaction Data ICML 2014 Learning Bounded Tree-width Bayesian Networks using Integer Linear Programming AISTATS 2014 Learning Chordal Markov Networks by Dynamic Programming NeurIPS 2014 Learning Euclidean-to-Riemannian Metric for Point-to-Set Classification CVPR 2014 Learning from Contagion (Without Timestamps) ICML 2014 Learning Graphical Models With Hubs JMLR 2014 Learning Graphs with a Few Hubs ICML 2014 Learning Mixed Multinomial Logit Model from Ordinal Data NeurIPS 2014 Learning Mixtures of Discrete Product Distributions using Spectral Decompositions COLT 2014 Learning Mixtures of Ranking Models NeurIPS 2014 Learning Mixtures of Submodular Functions for Image Collection Summarization NeurIPS 2014 Learning Modular Structures from Network Data and Node Variables ICML 2014 Learning Multiple Tasks in Parallel with a Shared Annotator NeurIPS 2014 Learning on graphs using Orthonormal Representation is Statistically Consistent NeurIPS 2014 Learning Optimal Bounded Treewidth Bayesian Networks via Maximum Satisfiability AISTATS 2014 Learning Optimal Commitment to Overcome Insecurity NeurIPS 2014 Learning Shuffle Ideals Under Restricted Distributions NeurIPS 2014 Learning Theory and Algorithms for revenue optimization in second price auctions with reserve ICML 2014 Learning the Parameters of Determinantal Point Process Kernels ICML 2014 Learning Time-Varying Coverage Functions NeurIPS 2014