Convex Optimization

Open Problem: Tightness of maximum likelihood semidefinite relaxations COLT 2014 Orbit Regularization NeurIPS 2014 Parallel Direction Method of Multipliers NeurIPS 2014 Parallel Successive Convex Approximation for Nonsmooth Nonconvex Optimization NeurIPS 2014 Preconditioning for Accelerated Iteratively Reweighted Least Squares in Structured Sparsity Reconstruction CVPR 2014 QUIC & DIRTY: A Quadratic Approximation Approach for Dirty Statistical Models NeurIPS 2014 Robust Tensor Decomposition with Gross Corruption NeurIPS 2014 SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives NeurIPS 2014 Segmentation-Free Dynamic Scene Deblurring CVPR 2014 Sequential Convex Relaxation for Mutual Information-Based Unsupervised Figure-Ground Segmentation CVPR 2014 Shaping Social Activity by Incentivizing Users NeurIPS 2014 Signal Aggregate Constraints in Additive Factorial HMMs, with Application to Energy Disaggregation NeurIPS 2014 Stable Template-Based Isometric 3D Reconstruction in All Imaging Conditions by Linear Least-Squares CVPR 2014 Stochastic Proximal Gradient Descent with Acceleration Techniques NeurIPS 2014 Tight convex relaxations for sparse matrix factorization NeurIPS 2014 Time--Data Tradeoffs by Aggressive Smoothing NeurIPS 2014 Towards an optimal stochastic alternating direction method of multipliers ICML 2014 Unconstrained Online Linear Learning in Hilbert Spaces: Minimax Algorithms and Normal Approximations COLT 2014 Weighted Nuclear Norm Minimization with Application to Image Denoising CVPR 2014 Accelerated Mini-Batch Stochastic Dual Coordinate Ascent NeurIPS 2013 A Comparative Framework for Preconditioned Lasso Algorithms NeurIPS 2013 A Convex Regularizer for Reducing Color Artifact in Color Image Recovery CVPR 2013 A Fast Semidefinite Approach to Solving Binary Quadratic Problems CVPR 2013 A Max-Norm Constrained Minimization Approach to 1-Bit Matrix Completion JMLR 2013 A New Convex Relaxation for Tensor Completion NeurIPS 2013