Continuous Optimization

Partial Optimality by Pruning for MAP-inference with General Graphical Models CVPR 2014 Partition-wise Linear Models NeurIPS 2014 Path Thresholding: Asymptotically Tuning-Free High-Dimensional Sparse Regression AISTATS 2014 Preconditioning for Accelerated Iteratively Reweighted Least Squares in Structured Sparsity Reconstruction CVPR 2014 Principal Component Analysis and Higher Correlations for Distributed Data COLT 2014 Probabilistic Labeling Cost for High-Accuracy Multi-View Reconstruction CVPR 2014 Probabilistic ODE Solvers with Runge-Kutta Means NeurIPS 2014 Provable Submodular Minimization using Wolfe's Algorithm NeurIPS 2014 Provable Tensor Factorization with Missing Data NeurIPS 2014 Pseudoconvex Proximal Splitting for L-infty Problems in Multiview Geometry CVPR 2014 QUIC & DIRTY: A Quadratic Approximation Approach for Dirty Statistical Models NeurIPS 2014 QUIC: Quadratic Approximation for Sparse Inverse Covariance Estimation JMLR 2014 Ramp Loss Linear Programming Support Vector Machine JMLR 2014 Relative Pose Estimation for a Multi-Camera System with Known Vertical Direction CVPR 2014 Riemannian Pursuit for Big Matrix Recovery ICML 2014 Robust and Efficient Kernel Hyperparameter Paths with Guarantees ICML 2014 Robust Near-Separable Nonnegative Matrix Factorization Using Linear Optimization JMLR 2014 Robust Separation of Reflection from Multiple Images CVPR 2014 Robust Surface Reconstruction via Triple Sparsity CVPR 2014 Robust Tensor Decomposition with Gross Corruption NeurIPS 2014 Saddle Points and Accelerated Perceptron Algorithms ICML 2014 SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives NeurIPS 2014 Scalable Methods for Nonnegative Matrix Factorizations of Near-separable Tall-and-skinny Matrices NeurIPS 2014 Scalable Semidefinite Relaxation for Maximum A Posterior Estimation ICML 2014 SCAMS: Simultaneous Clustering and Model Selection CVPR 2014