Mathematics & Optimization

From MAP to Marginals: Variational Inference in Bayesian Submodular Models NeurIPS 2014 From Stochastic Mixability to Fast Rates NeurIPS 2014 Full-Angle Quaternions for Robustly Matching Vectors of 3D Rotations CVPR 2014 Fully Decentralized Task Swaps with Optimized Local Searching RSS 2014 Fundamental Limits of Online and Distributed Algorithms for Statistical Learning and Estimation NeurIPS 2014 FuSSO: Functional Shrinkage and Selection Operator AISTATS 2014 Gaussian Approximation of Collective Graphical Models ICML 2014 Gaussian Copula Precision Estimation with Missing Values AISTATS 2014 Gaussian Processes for Bayesian Estimation in Ordinary Differential Equations ICML 2014 Gaussian Process Optimization with Mutual Information ICML 2014 Generalized Dantzig Selector: Application to the k-support norm NeurIPS 2014 Generalized Exponential Concentration Inequality for Renyi Divergence Estimation ICML 2014 Generalized Higher-Order Orthogonal Iteration for Tensor Decomposition and Completion NeurIPS 2014 Generalized Nonconvex Nonsmooth Low-Rank Minimization CVPR 2014 Generalized Unsupervised Manifold Alignment NeurIPS 2014 Global graph kernels using geometric embeddings ICML 2014 Globally Convergent Parallel MAP LP Relaxation Solver using the Frank-Wolfe Algorithm ICML 2014 Global Optimization Methods for Extended Fisher Discriminant Analysis AISTATS 2014 GPS-Tag Refinement using Random Walks with an Adaptive Damping Factor CVPR 2014 Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization ICML 2014 Graph Clustering With Missing Data: Convex Algorithms and Analysis NeurIPS 2014 Graph Cut based Continuous Stereo Matching using Locally Shared Labels CVPR 2014 Graph Estimation From Multi-Attribute Data JMLR 2014 Greedy Subspace Clustering NeurIPS 2014 Hamiltonian Monte Carlo Without Detailed Balance ICML 2014