global optimization

Consistent-Aware Deep Learning for Person Re-Identification in a Camera Network CVPR 2017 Convex Global 3D Registration With Lagrangian Duality CVPR 2017 End-to-End Neural Relation Extraction with Global Optimization EMNLP 2017 Global optimization of Lipschitz functions ICML 2017 High Dimensional Bayesian Optimization with Elastic Gaussian Process ICML 2017 HSfM: Hybrid Structure-from-Motion CVPR 2017 Residual Expansion Algorithm: Fast and Effective Optimization for Nonconvex Least Squares Problems CVPR 2017 Stereo-Based 3D Reconstruction of Dynamic Fluid Surfaces by Global Optimization CVPR 2017 The Loss Surface of Deep and Wide Neural Networks ICML 2017 A ranking approach to global optimization ICML 2016 BASC: Applying Bayesian Optimization to the Search for Global Minima on Potential Energy Surfaces ICML 2016 Bounding the Search Space for Global Optimization of Neural Networks Learning Error: An Interval Analysis Approach JMLR 2016 Conformal Surface Alignment With Optimal Mobius Search CVPR 2016 Efficient Globally Optimal 2D-To-3D Deformable Shape Matching CVPR 2016 Full Flow: Optical Flow Estimation By Global Optimization Over Regular Grids CVPR 2016 GLASSES: Relieving The Myopia Of Bayesian Optimisation AISTATS 2016 Globally Optimal Manhattan Frame Estimation in Real-Time CVPR 2016 Globally Optimal Training of Generalized Polynomial Neural Networks with Nonlinear Spectral Methods NeurIPS 2016 GOGMA: Globally-Optimal Gaussian Mixture Alignment CVPR 2016 Laplacian Patch-Based Image Synthesis CVPR 2016 Optimal Relative Pose With Unknown Correspondences CVPR 2016 The Parallel Knowledge Gradient Method for Batch Bayesian Optimization NeurIPS 2016 Unbounded Bayesian Optimization via Regularization AISTATS 2016 Bayesian Optimization with Exponential Convergence NeurIPS 2015 Black-box optimization of noisy functions with unknown smoothness NeurIPS 2015