| Optimizing Bayesian acquisition functions in Gaussian Processes | Nov 9, 2021 | Bayesian OptimizationGaussian Processes | —Unverified | 0 |
| Explaining Hyperparameter Optimization via Partial Dependence Plots | Nov 8, 2021 | Bayesian OptimizationBIG-bench Machine Learning | CodeCode Available | 0 |
| Contextual Bayesian optimization with binary outputs | Nov 5, 2021 | Active LearningBayesian Optimization | —Unverified | 0 |
| An Algorithmic Theory of Metacognition in Minds and Machines | Nov 5, 2021 | Bayesian OptimizationReinforcement Learning (RL) | —Unverified | 0 |
| AUTOKD: Automatic Knowledge Distillation Into A Student Architecture Family | Nov 5, 2021 | Bayesian OptimizationKnowledge Distillation | —Unverified | 0 |
| Fitness Landscape Footprint: A Framework to Compare Neural Architecture Search Problems | Nov 2, 2021 | Bayesian Optimizationimage-classification | —Unverified | 0 |
| End-to-End Learning of Deep Kernel Acquisition Functions for Bayesian Optimization | Nov 1, 2021 | Bayesian OptimizationGaussian Processes | —Unverified | 0 |
| Smart(Sampling)Augment: Optimal and Efficient Data Augmentation for Semantic Segmentation | Oct 31, 2021 | Bayesian OptimizationData Augmentation | —Unverified | 0 |
| Bayesian optimization of distributed neurodynamical controller models for spatial navigation | Oct 31, 2021 | Bayesian OptimizationEfficient Exploration | —Unverified | 0 |
| A comparison of mixed-variables Bayesian optimization approaches | Oct 30, 2021 | Bayesian OptimizationGaussian Processes | —Unverified | 0 |
