Continuous Optimization

Planar Shape Detection at Structural Scales CVPR 2018 Plug-in Estimation in High-Dimensional Linear Inverse Problems: A Rigorous Analysis NeurIPS 2018 Postfiltering Using Log-Magnitude Spectrum for Speech and Audio Coding Interspeech 2018 Projection-Free Online Optimization with Stochastic Gradient: From Convexity to Submodularity ICML 2018 Provably Correct Algorithms for Matrix Column Subset Selection with Selectively Sampled Data JMLR 2018 Provably Correct Automatic Sub-Differentiation for Qualified Programs NeurIPS 2018 Proximal SCOPE for Distributed Sparse Learning NeurIPS 2018 Quadratic Decomposable Submodular Function Minimization NeurIPS 2018 Quantum Divide-and-Conquer Anchoring for Separable Non-negative Matrix Factorization IJCAI 2018 Randomized Block Cubic Newton Method ICML 2018 Regularized Optimal Transport and the Rot Mover's Distance JMLR 2018 Representing and Learning High Dimensional Data With the Optimal Transport Map From a Probabilistic Viewpoint CVPR 2018 Ridge Regression and Provable Deterministic Ridge Leverage Score Sampling NeurIPS 2018 Riemannian stochastic quasi-Newton algorithm with variance reduction and its convergence analysis AISTATS 2018 Riemannian Stochastic Recursive Gradient Algorithm ICML 2018 Robust Graph Dimensionality Reduction IJCAI 2018 Robust Multi-view Learning via Half-quadratic Minimization IJCAI 2018 Robust PCA by Manifold Optimization JMLR 2018 Robust Vertex Enumeration for Convex Hulls in High Dimensions AISTATS 2018 Rotation Averaging and Strong Duality CVPR 2018 RSG: Beating Subgradient Method without Smoothness and Strong Convexity JMLR 2018 SADAGRAD: Strongly Adaptive Stochastic Gradient Methods ICML 2018 Safe Element Screening for Submodular Function Minimization ICML 2018 Sample Efficient Stochastic Gradient Iterative Hard Thresholding Method for Stochastic Sparse Linear Regression with Limited Attribute Observation NeurIPS 2018 Scalable Dense Non-Rigid Structure-From-Motion: A Grassmannian Perspective CVPR 2018