Global Optimization

Offline Contextual Bayesian Optimization NeurIPS 2019 On the Time Complexity of Algorithm Selection Hyper-Heuristics for Multimodal Optimisation AAAI 2019 Optimal Tensor Methods in Smooth Convex and Uniformly ConvexOptimization COLT 2019 Pareto Optimization for Subset Selection with Dynamic Cost Constraints AAAI 2019 Robust Influence Maximization for Hyperparametric Models ICML 2019 The Alignment of the Spheres: Globally-Optimal Spherical Mixture Alignment for Camera Pose Estimation CVPR 2019 A Certifiably Globally Optimal Solution to the Non-Minimal Relative Pose Problem CVPR 2018 Adversarially Robust Optimization with Gaussian Processes NeurIPS 2018 Automating Bayesian optimization with Bayesian optimization NeurIPS 2018 Derivative Free Optimization Via Repeated Classification AISTATS 2018 Finding Optimal Bayesian Networks with Local Structure PGM 2018 Frank-Wolfe Splitting via Augmented Lagrangian Method AISTATS 2018 Global Non-convex Optimization with Discretized Diffusions NeurIPS 2018 Local and Global Optimization Techniques in Graph-Based Clustering CVPR 2018 Optimal Solution of the Generalized Dubins Interval Problem RSS 2018 Optimistic optimization of a Brownian NeurIPS 2018 Very Large-Scale Global SfM by Distributed Motion Averaging CVPR 2018 Batched High-dimensional Bayesian Optimization via Structural Kernel Learning ICML 2017 Bayesian Optimization with Gradients NeurIPS 2017 Certifiably Optimal Low Rank Factor Analysis JMLR 2017 Globally Optimal Gradient Descent for a ConvNet with Gaussian Inputs ICML 2017 Global optimization of Lipschitz functions ICML 2017 High Dimensional Bayesian Optimization using Dropout IJCAI 2017 Homotopy Analysis for Tensor PCA COLT 2017 Improving the Expected Improvement Algorithm NeurIPS 2017