global optimality

Understanding the Effect of Stochasticity in Policy Optimization NeurIPS 2021 A Certifiably Globally Optimal Solution to Generalized Essential Matrix Estimation CVPR 2020 Generative Adversarial Imitation Learning with Neural Network Parameterization: Global Optimality and Convergence Rate ICML 2020 Global Optimality for Point Set Registration Using Semidefinite Programming CVPR 2020 Neural Policy Gradient Methods: Global Optimality and Rates of Convergence ICLR 2020 On the Global Optimality of Model-Agnostic Meta-Learning ICML 2020 Closed-Form Optimal Two-View Triangulation Based on Angular Errors ICCV 2019 Globally Optimal Learning for Structured Elliptical Losses NeurIPS 2019 A Primal-Dual Analysis of Global Optimality in Nonconvex Low-Rank Matrix Recovery ICML 2018 BPGrad: Towards Global Optimality in Deep Learning via Branch and Pruning CVPR 2018 Generalizing Graph Matching beyond Quadratic Assignment Model NeurIPS 2018 Global Optimality Conditions for Deep Neural Networks ICLR 2018 Globally Optimal Gradient Descent for a ConvNet with Gaussian Inputs ICML 2017 Global Optimality in Neural Network Training CVPR 2017 Globally Optimal Manhattan Frame Estimation in Real-Time CVPR 2016 Global Optimality of Local Search for Low Rank Matrix Recovery NeurIPS 2016 Convex Deep Learning via Normalized Kernels NeurIPS 2014 Efficient Structured Parsing of Facades Using Dynamic Programming CVPR 2014 A Distributable and Computation-flexible Assignment Algorithm: From Local Task Swapping to Global Optimality RSS 2012 Occlusion Detection and Motion Estimation with Convex Optimization NeurIPS 2010