Optimization

An Enhanced Structure-from-Motion Paradigm Based on the Absolute Dual Quadric and Images of Circular Points ICCV 2013 A New Convex Relaxation for Tensor Completion NeurIPS 2013 An Iterated L1 Algorithm for Non-smooth Non-convex Optimization in Computer Vision CVPR 2013 A Parallel, Block Greedy Method for Sparse Inverse Covariance Estimation for Ultra-high Dimensions AISTATS 2013 A Practical Algorithm for Topic Modeling with Provable Guarantees ICML 2013 A Practical Rank-Constrained Eight-Point Algorithm for Fundamental Matrix Estimation CVPR 2013 A proximal Newton framework for composite minimization: Graph learning without Cholesky decompositions and matrix inversions ICML 2013 A Spectral Learning Approach to Range-Only SLAM ICML 2013 A Stability-based Validation Procedure for Differentially Private Machine Learning NeurIPS 2013 A Structural SVM Based Approach for Optimizing Partial AUC ICML 2013 A Tale of Two Metrics: Simultaneous Bounds on Competitiveness and Regret COLT 2013 A Theory of Multiclass Boosting JMLR 2013 A Theory of Refractive Photo-Light-Path Triangulation CVPR 2013 Bayesian optimization explains human active search NeurIPS 2013 Beating Bandits in Gradually Evolving Worlds COLT 2013 Bellman Error Based Feature Generation using Random Projections on Sparse Spaces NeurIPS 2013 Bethe Bounds and Approximating the Global Optimum AISTATS 2013 Better Approximation and Faster Algorithm Using the Proximal Average NeurIPS 2013 Beyond Hard Negative Mining: Efficient Detector Learning via Block-Circulant Decomposition ICCV 2013 BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables NeurIPS 2013 Bilinear Programming for Human Activity Recognition with Unknown MRF Graphs CVPR 2013 Blind Calibration in Compressed Sensing using Message Passing Algorithms NeurIPS 2013 Block and Group Regularized Sparse Modeling for Dictionary Learning CVPR 2013 Block-Coordinate Frank-Wolfe Optimization for Structural SVMs ICML 2013 Boosting with the Logistic Loss is Consistent COLT 2013