Mathematics

High-dimensional Inference via Lipschitz Sparsity-Yielding Regularizers AISTATS 2013 Hyperbolic Harmonic Mapping for Constrained Brain Surface Registration CVPR 2013 Image Matting with Local and Nonlocal Smooth Priors CVPR 2013 Improving CUR Matrix Decomposition and the Nystrom Approximation via Adaptive Sampling JMLR 2013 Improving Graph Matching via Density Maximization ICCV 2013 Incorporating User Interaction and Topological Constraints within Contour Completion via Discrete Calculus CVPR 2013 Information Complexity in Bandit Subset Selection COLT 2013 Information-theoretic lower bounds for distributed statistical estimation with communication constraints NeurIPS 2013 Intersecting singularities for multi-structured estimation ICML 2013 Intrinsic Characterization of Dynamic Surfaces CVPR 2013 Inverse Density as an Inverse Problem: the Fredholm Equation Approach NeurIPS 2013 Joint Geodesic Upsampling of Depth Images CVPR 2013 Large-scale SVD and Manifold Learning JMLR 2013 Learning by Associating Ambiguously Labeled Images CVPR 2013 Learning Gaussian Graphical Models with Observed or Latent FVSs NeurIPS 2013 Learning Heteroscedastic Models by Convex Programming under Group Sparsity ICML 2013 Learning Hidden Markov Models from Non-sequence Data via Tensor Decomposition NeurIPS 2013 Learning with Invariance via Linear Functionals on Reproducing Kernel Hilbert Space NeurIPS 2013 Least Informative Dimensions NeurIPS 2013 Log-Euclidean Kernels for Sparse Representation and Dictionary Learning ICCV 2013 Lovasz theta function, SVMs and Finding Dense Subgraphs JMLR 2013 Low-Rank Matrix and Tensor Completion via Adaptive Sampling NeurIPS 2013 Markov Network Estimation From Multi-attribute Data ICML 2013 Mean Reversion with a Variance Threshold ICML 2013 Measuring Flow Complexity in Videos ICCV 2013