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Global Optimization

190 papers

Papers per year

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Papers

Global Non-convex Optimization with Discretized Diffusions NIPS 2018
Adversarially Robust Optimization with Gaussian Processes NIPS 2018
Optimistic optimization of a Brownian NIPS 2018
Frank-Wolfe Splitting via Augmented Lagrangian Method AISTATS 2018
Derivative Free Optimization Via Repeated Classification AISTATS 2018
A Certifiably Globally Optimal Solution to the Non-Minimal Relative Pose Problem CVPR 2018
Local and Global Optimization Techniques in Graph-Based Clustering CVPR 2018
Very Large-Scale Global SfM by Distributed Motion Averaging CVPR 2018
Optimal Solution of the Generalized Dubins Interval Problem RSS 2018
Process-constrained batch Bayesian optimisation NIPS 2017
Bayesian Optimization with Gradients NIPS 2017
Improving the Expected Improvement Algorithm NIPS 2017
Homotopy Analysis for Tensor PCA COLT 2017
Stereo-Based 3D Reconstruction of Dynamic Fluid Surfaces by Global Optimization CVPR 2017
Globally Optimal Gradient Descent for a ConvNet with Gaussian Inputs ICML 2017
Global optimization of Lipschitz functions ICML 2017
Max-value Entropy Search for Efficient Bayesian Optimization ICML 2017
Batched High-dimensional Bayesian Optimization via Structural Kernel Learning ICML 2017
High Dimensional Bayesian Optimization using Dropout IJCAI 2017
Certifiably Optimal Low Rank Factor Analysis JMLR 2017
CMA-ES with Optimal Covariance Update and Storage Complexity NIPS 2016
Solving Random Systems of Quadratic Equations via Truncated Generalized Gradient Flow NIPS 2016
High Dimensional Bayesian Optimization via Restricted Projection Pursuit Models AISTATS 2016
First-order Methods for Geodesically Convex Optimization COLT 2016
Globally Optimal Manhattan Frame Estimation in Real-Time CVPR 2016