Continuous Optimization

Universality of the Local Marginal Polytope CVPR 2013 Unsupervised Link Selection in Networks AISTATS 2013 When in Doubt, SWAP: High-Dimensional Sparse Recovery from Correlated Measurements NeurIPS 2013 Wide-Baseline Hair Capture Using Strand-Based Refinement CVPR 2013 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 Affine trajectory deformation for redundant manipulators RSS 2012 A General Framework for Structured Sparsity via Proximal Optimization AISTATS 2012 A Multi-Stage Framework for Dantzig Selector and LASSO JMLR 2012 A Polylog Pivot Steps Simplex Algorithm for Classification NeurIPS 2012 Approximate Inference by Intersecting Semidefinite Bound and Local Polytope AISTATS 2012 Approximate Inference in Additive Factorial HMMs with Application to Energy Disaggregation AISTATS 2012 Approximating Concavely Parameterized Optimization Problems NeurIPS 2012 A quasi-Newton proximal splitting method NeurIPS 2012 Augmented-SVM: Automatic space partitioning for combining multiple non-linear dynamics NeurIPS 2012 Calibrated Elastic Regularization in Matrix Completion NeurIPS 2012 Coherence Functions with Applications in Large-Margin Classification Methods JMLR 2012 Compressive Sensing MRI with Wavelet Tree Sparsity NeurIPS 2012 Convergence and Energy Landscape for Cheeger Cut Clustering NeurIPS 2012 Convergence Rate Analysis of MAP Coordinate Minimization Algorithms NeurIPS 2012 CPRL -- An Extension of Compressive Sensing to the Phase Retrieval Problem NeurIPS 2012 Density Propagation and Improved Bounds on the Partition Function NeurIPS 2012 Deterministic Annealing for Semi-Supervised Structured Output Learning AISTATS 2012 Distance Metric Learning with Eigenvalue Optimization JMLR 2012