| A Geometric Analysis of Neural Collapse with Unconstrained Features | May 6, 2021 | global-optimization | CodeCode Available | 1 |
| Deep Learning for Bayesian Optimization of Scientific Problems with High-Dimensional Structure | Apr 23, 2021 | Bayesian OptimizationGaussian Processes | CodeCode Available | 1 |
| Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mutual Information | Apr 19, 2021 | Bayesian OptimizationExperimental Design | CodeCode Available | 1 |
| Pathwise Conditioning of Gaussian Processes | Nov 8, 2020 | Gaussian Processesglobal-optimization | CodeCode Available | 1 |
| Hyperparameter Optimization via Sequential Uniform Designs | Sep 8, 2020 | AutoMLglobal-optimization | CodeCode Available | 1 |
| On the implementation of a global optimization method for mixed-variable problems | Sep 4, 2020 | global-optimization | CodeCode Available | 1 |
| Understanding the wiring evolution in differentiable neural architecture search | Sep 2, 2020 | global-optimizationNeural Architecture Search | CodeCode Available | 1 |
| Lifted Disjoint Paths with Application in Multiple Object Tracking | Jun 25, 2020 | global-optimizationMultiple Object Tracking | CodeCode Available | 1 |
| Airfoil Design Parameterization and Optimization using Bézier Generative Adversarial Networks | Jun 21, 2020 | global-optimization | CodeCode Available | 1 |
| Learning Sparse Classifiers: Continuous and Mixed Integer Optimization Perspectives | Jan 17, 2020 | global-optimizationVariable Selection | CodeCode Available | 1 |
