Continuous Optimization

Better Approximation and Faster Algorithm Using the Proximal Average NeurIPS 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 Deconvolution of Widefield Fluorescence Microscopic Data by Regularization of the Optical Transfer Function (OTF) CVPR 2013 BRDF Slices: Accurate Adaptive Anisotropic Appearance Acquisition CVPR 2013 Comment on "Robustness and Regularization of Support Vector Machines" by H. Xu et al. (Journal of Machine Learning Research, vol. 10, pp. 1485-1510, 2009) JMLR 2013 Compressible Motion Fields CVPR 2013 Computation-Risk Tradeoffs for Covariance-Thresholded Regression ICML 2013 Computing Diffeomorphic Paths for Large Motion Interpolation CVPR 2013 Constrained fractional set programs and their application in local clustering and community detection ICML 2013 Continuous Inference in Graphical Models with Polynomial Energies CVPR 2013 Convex Collective Matrix Factorization AISTATS 2013 Convex Optimization of Nonlinear Feedback Controllers via Occupation Measures RSS 2013 Convex Tensor Decomposition via Structured Schatten Norm Regularization NeurIPS 2013 Curvature and Optimal Algorithms for Learning and Minimizing Submodular Functions NeurIPS 2013 Data-driven Distributionally Robust Polynomial Optimization NeurIPS 2013 Deformable Graph Matching CVPR 2013 Dirty Statistical Models NeurIPS 2013 Dual Decomposition for Joint Discrete-Continuous Optimization AISTATS 2013 Efficient 3D Endfiring TRUS Prostate Segmentation with Globally Optimized Rotational Symmetry CVPR 2013 Efficient and Robust Large-Scale Rotation Averaging ICCV 2013 Efficient Dimensionality Reduction for Canonical Correlation Analysis ICML 2013 Efficient Higher-Order Clustering on the Grassmann Manifold ICCV 2013 Efficient Sparse Group Feature Selection via Nonconvex Optimization ICML 2013 Elastic Net Constraints for Shape Matching ICCV 2013