Mathematics & Optimization

Hamming Ball Auxiliary Sampling for Factorial Hidden Markov Models NeurIPS 2014 Hard-Margin Active Linear Regression ICML 2014 Hardness of parameter estimation in graphical models NeurIPS 2014 Heavy-tailed regression with a generalized median-of-means ICML 2014 High-Dimensional Covariance Decomposition into Sparse Markov and Independence Models JMLR 2014 High-Dimensional Learning of Linear Causal Networks via Inverse Covariance Estimation JMLR 2014 Higher-Order Clique Reduction Without Auxiliary Variables CVPR 2014 Higher-Order Regret Bounds with Switching Costs COLT 2014 Hitting and Commute Times in Large Random Neighborhood Graphs JMLR 2014 Human Action Recognition Based on Context-Dependent Graph Kernels CVPR 2014 Human Action Recognition by Representing 3D Skeletons as Points in a Lie Group CVPR 2014 Identifying and attacking the saddle point problem in high-dimensional non-convex optimization NeurIPS 2014 Image Fusion with Local Spectral Consistency and Dynamic Gradient Sparsity CVPR 2014 Improved Bounds for Online Learning Over the Permutahedron and Other Ranking Polytopes AISTATS 2014 Improved Distributed Principal Component Analysis NeurIPS 2014 Inferring sparse representations of continuous signals with continuous orthogonal matching pursuit NeurIPS 2014 Influence Function Learning in Information Diffusion Networks ICML 2014 Information-Theoretic Characterization of Sparse Recovery AISTATS 2014 Input Warping for Bayesian Optimization of Non-Stationary Functions ICML 2014 Iteration Complexity of Feasible Descent Methods for Convex Optimization JMLR 2014 Joint Depth Estimation and Camera Shake Removal from Single Blurry Image CVPR 2014 Jointly Informative Feature Selection AISTATS 2014 Joint Structure Learning of Multiple Non-Exchangeable Networks AISTATS 2014 Kernel Adaptive Metropolis-Hastings ICML 2014 Kernel Mean Estimation and Stein Effect ICML 2014