| Automated Hyperparameter Optimization Challenge at CIKM 2021 AnalyticCup | Oct 31, 2021 | Bayesian OptimizationHyperparameter Optimization | CodeCode Available | 1 |
| Active Offline Policy Selection | Jun 18, 2021 | Bayesian OptimizationOff-policy evaluation | CodeCode Available | 1 |
| Robustifying and Boosting Training-Free Neural Architecture Search | Mar 12, 2024 | AutoMLBayesian Optimization | CodeCode Available | 1 |
| Robust Multi-Objective Bayesian Optimization Under Input Noise | Feb 15, 2022 | Bayesian Optimization | CodeCode Available | 1 |
| Sampling from Gaussian Process Posteriors using Stochastic Gradient Descent | Jun 20, 2023 | Bayesian OptimizationDecision Making | CodeCode Available | 1 |
| Deep Learning for Bayesian Optimization of Scientific Problems with High-Dimensional Structure | Apr 23, 2021 | Bayesian OptimizationGaussian Processes | CodeCode Available | 1 |
| Differential Evolution for Neural Architecture Search | Dec 11, 2020 | Bayesian OptimizationNeural Architecture Search | CodeCode Available | 1 |
| Simple Recurrent Neural Networks is all we need for clinical events predictions using EHR data | Oct 3, 2021 | AllBayesian Optimization | CodeCode Available | 1 |
| Solving Black-Box Optimization Challenge via Learning Search Space Partition for Local Bayesian Optimization | Dec 18, 2020 | Bayesian Optimization | CodeCode Available | 1 |
| IOHanalyzer: Detailed Performance Analyses for Iterative Optimization Heuristics | Jul 8, 2020 | Bayesian OptimizationBenchmarking | CodeCode Available | 1 |
