Continuous Optimization

Higher-Order Total Variation Classes on Grids: Minimax Theory and Trend Filtering Methods NeurIPS 2017 How to Escape Saddle Points Efficiently ICML 2017 HSfM: Hybrid Structure-from-Motion CVPR 2017 Hybrid direct collocation and control in the constraint-consistent subspace for dynamic legged robot locomotion RSS 2017 Hyperplane Clustering via Dual Principal Component Pursuit ICML 2017 Identifying Groups of Strongly Correlated Variables through Smoothed Ordered Weighted L_1-norms AISTATS 2017 Ignoring Is a Bliss: Learning with Large Noise Through Reweighting-Minimization COLT 2017 Improved Dynamic Regret for Non-degenerate Functions NeurIPS 2017 Inference in Graphical Models via Semidefinite Programming Hierarchies NeurIPS 2017 Information-Geometric Optimization Algorithms: A Unifying Picture via Invariance Principles JMLR 2017 Innovation Pursuit: A New Approach to the Subspace Clustering Problem ICML 2017 Integration Methods and Optimization Algorithms NeurIPS 2017 Inverse Covariance Estimation with Structured Groups IJCAI 2017 Is Input Sparsity Time Possible for Kernel Low-Rank Approximation? NeurIPS 2017 Joint Optimization of User-desired Content in Multi-document Summaries by Learning from User Feedback ACL 2017 Kernel Partial Least Squares for Stationary Data JMLR 2017 k-Support and Ordered Weighted Sparsity for Overlapping Groups: Hardness and Algorithms NeurIPS 2017 Large-Scale Quadratically Constrained Quadratic Program via Low-Discrepancy Sequences NeurIPS 2017 Lazifying Conditional Gradient Algorithms ICML 2017 Learning Local Dependence In Ordered Data JMLR 2017 Learning Lyapunov (Potential) Functions from Counterexamples and Demonstrations RSS 2017 Learning ReLUs via Gradient Descent NeurIPS 2017 Limitations on Variance-Reduction and Acceleration Schemes for Finite Sums Optimization NeurIPS 2017 Linear Convergence of a Frank-Wolfe Type Algorithm over Trace-Norm Balls NeurIPS 2017 Matrix Completion from $O(n)$ Samples in Linear Time COLT 2017