Optimization

Scalable Influence Estimation in Continuous-Time Diffusion Networks NeurIPS 2013 Scalable kernels for graphs with continuous attributes NeurIPS 2013 Scalable Optimization of Neighbor Embedding for Visualization ICML 2013 Scaling Multidimensional Gaussian Processes using Projected Additive Approximations ICML 2013 Scaling the Indian Buffet Process via Submodular Maximization ICML 2013 Scene Coordinate Regression Forests for Camera Relocalization in RGB-D Images CVPR 2013 Scoring anomalies: a M-estimation formulation AISTATS 2013 Second Order Online Collaborative Filtering ACML 2013 Separable Dictionary Learning CVPR 2013 Shape from Silhouette Probability Maps: Reconstruction of Thin Objects in the Presence of Silhouette Extraction and Calibration Error CVPR 2013 Sign Cauchy Projections and Chi-Square Kernel NeurIPS 2013 Simultaneous Rectification and Alignment via Robust Recovery of Low-rank Tensors NeurIPS 2013 Sinkhorn Distances: Lightspeed Computation of Optimal Transport NeurIPS 2013 Sketching Structured Matrices for Faster Nonlinear Regression NeurIPS 2013 SLAM++: Simultaneous Localisation and Mapping at the Level of Objects CVPR 2013 Solving inverse problem of Markov chain with partial observations NeurIPS 2013 Solving the multi-way matching problem by permutation synchronization NeurIPS 2013 Sparse Activity and Sparse Connectivity in Supervised Learning JMLR 2013 Sparse Additive Text Models with Low Rank Background NeurIPS 2013 Sparse Inverse Covariance Estimation with Calibration NeurIPS 2013 Sparse Matrix Inversion with Scaled Lasso JMLR 2013 Sparse nonnegative deconvolution for compressive calcium imaging: algorithms and phase transitions NeurIPS 2013 Sparse PCA through Low-rank Approximations ICML 2013 Sparse projections onto the simplex ICML 2013 Sparse/Robust Estimation and Kalman Smoothing with Nonsmooth Log-Concave Densities: Modeling, Computation, and Theory JMLR 2013