Continuous Optimization

A Linear Extrinsic Calibration of Kaleidoscopic Imaging System From Single 3D Point CVPR 2017 Alternating Direction Graph Matching CVPR 2017 Alternating minimization for dictionary learning with random initialization NeurIPS 2017 A Matrix Splitting Method for Composite Function Minimization CVPR 2017 A Minimal Solution for Two-View Focal-Length Estimation Using Two Affine Correspondences CVPR 2017 A Multi-View Stereo Benchmark With High-Resolution Images and Multi-Camera Videos CVPR 2017 An Efficient Algebraic Solution to the Perspective-Three-Point Problem CVPR 2017 An Efficient Phone N-Gram Forward-Backward Computation Using Dense Matrix Multiplication Interspeech 2017 An Efficient, Sparsity-Preserving, Online Algorithm for Low-Rank Approximation ICML 2017 A New Alternating Direction Method for Linear Programming NeurIPS 2017 A New Cosine Series Antialiasing Function and its Application to Aliasing-Free Glottal Source Models for Speech and Singing Synthesis Interspeech 2017 A Nonconvex Approach for Phase Retrieval: Reshaped Wirtinger Flow and Incremental Algorithms JMLR 2017 A Non-Convex Variational Approach to Photometric Stereo Under Inaccurate Lighting CVPR 2017 A Non-Local Low-Rank Framework for Ultrasound Speckle Reduction CVPR 2017 A Novel Tensor-Based Video Rain Streaks Removal Approach via Utilizing Discriminatively Intrinsic Priors CVPR 2017 Approximate Steepest Coordinate Descent ICML 2017 Approximation Algorithms for ℓ_0-Low Rank Approximation NeurIPS 2017 A Richer Theory of Convex Constrained Optimization with Reduced Projections and Improved Rates ICML 2017 A Semismooth Newton Method for Fast, Generic Convex Programming ICML 2017 A Simulated Annealing Based Inexact Oracle for Wasserstein Loss Minimization ICML 2017 A Study on Trust Region Update Rules in Newton Methods for Large-scale Linear Classification ACML 2017 Asynchronous Coordinate Descent under More Realistic Assumptions NeurIPS 2017 Asynchronous Parallel Coordinate Minimization for MAP Inference NeurIPS 2017 A Unified Computational and Statistical Framework for Nonconvex Low-rank Matrix Estimation AISTATS 2017 A Unified Formulation and Fast Accelerated Proximal Gradient Method for Classification JMLR 2017