Mathematics & Optimization

Uncalibrated Photometric Stereo for Unknown Isotropic Reflectances CVPR 2013 Unifying Nuclear Norm and Bilinear Factorization Approaches for Low-Rank Matrix Decomposition ICCV 2013 Universal Consistency of Localized Versions of Regularized Kernel Methods JMLR 2013 Universality of the Local Marginal Polytope CVPR 2013 Unnatural L0 Sparse Representation for Natural Image Deblurring CVPR 2013 Unsupervised Link Selection in Networks AISTATS 2013 Unsupervised Spectral Learning of Finite State Transducers NeurIPS 2013 Using Hyperbolic Cross Approximation to measure and compensate Covariate Shift ACML 2013 Vanishing Component Analysis ICML 2013 Variable Selection in High-Dimension with Random Designs and Orthogonal Matching Pursuit JMLR 2013 Variance Reduction for Stochastic Gradient Optimization NeurIPS 2013 Wavelets on Graphs via Deep Learning NeurIPS 2013 What do row and column marginals reveal about your dataset? NeurIPS 2013 When are Overcomplete Topic Models Identifiable? Uniqueness of Tensor Tucker Decompositions with Structured Sparsity NeurIPS 2013 When in Doubt, SWAP: High-Dimensional Sparse Recovery from Correlated Measurements NeurIPS 2013 Wide-Baseline Hair Capture Using Strand-Based Refinement CVPR 2013 Winding Number for Region-Boundary Consistent Salient Contour Extraction CVPR 2013 Σ-Optimality for Active Learning on Gaussian Random Fields NeurIPS 2013 Accelerated Training for Matrix-norm Regularization: A Boosting Approach NeurIPS 2012 A Characterization of Scoring Rules for Linear Properties COLT 2012 A Comparison of the Lasso and Marginal Regression JMLR 2012 A Conjugate Property between Loss Functions and Uncertainty Sets in Classification Problems COLT 2012 A Convex-Concave Relaxation Procedure Based Subgraph Matching Algorithm ACML 2012 A Convex Formulation for Learning Scale-Free Networks via Submodular Relaxation NeurIPS 2012 Active Learning of Model Evidence Using Bayesian Quadrature NeurIPS 2012