| Distributionally Ambiguous Optimization Techniques for Batch Bayesian Optimization | Jul 13, 2017 | Bayesian Optimization | CodeCode Available | 0 | 5 |
| Correcting boundary over-exploration deficiencies in Bayesian optimization with virtual derivative sign observations | Apr 4, 2017 | Bayesian Optimizationglobal-optimization | CodeCode Available | 0 | 5 |
| Discovery of Self-Assembling π-Conjugated Peptides by Active Learning-Directed Coarse-Grained Molecular Simulation | Jan 27, 2020 | Active LearningBayesian Optimization | CodeCode Available | 0 | 5 |
| Automated Machine Learning with Monte-Carlo Tree Search | Jun 1, 2019 | AutoMLBayesian Optimization | CodeCode Available | 0 | 5 |
| Distributed Thompson sampling under constrained communication | Oct 21, 2024 | Bayesian OptimizationThompson Sampling | CodeCode Available | 0 | 5 |
| High-Dimensional Discrete Bayesian Optimization with Self-Supervised Representation Learning for Data-Efficient Materials Exploration | Sep 24, 2021 | Bayesian OptimizationRepresentation Learning | CodeCode Available | 0 | 5 |
| B2EA: An Evolutionary Algorithm Assisted by Two Bayesian Optimization Modules for Neural Architecture Search | Feb 7, 2022 | Bayesian OptimizationComputational Efficiency | CodeCode Available | 0 | 5 |
| ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations | Aug 5, 2019 | Bayesian OptimizationDrug Discovery | CodeCode Available | 0 | 5 |
| Counterexample Guided RL Policy Refinement Using Bayesian Optimization | Dec 1, 2021 | Bayesian OptimizationReinforcement Learning (RL) | CodeCode Available | 0 | 5 |
| Hybrid Parameter Search and Dynamic Model Selection for Mixed-Variable Bayesian Optimization | Jun 3, 2022 | Bayesian OptimizationGaussian Processes | CodeCode Available | 0 | 5 |
| Process-constrained batch Bayesian approaches for yield optimization in multi-reactor systems | Aug 5, 2024 | Bayesian OptimizationThompson Sampling | CodeCode Available | 0 | 5 |
| Discovering Many Diverse Solutions with Bayesian Optimization | Oct 20, 2022 | Bayesian OptimizationDiversity | CodeCode Available | 0 | 5 |
| Auto-WEKA: Combined Selection and Hyperparameter Optimization of Classification Algorithms | Aug 18, 2012 | Bayesian OptimizationBIG-bench Machine Learning | CodeCode Available | 0 | 5 |
| Crystal-LSBO: Automated Design of De Novo Crystals with Latent Space Bayesian Optimization | May 28, 2024 | Bayesian OptimizationFormation Energy | CodeCode Available | 0 | 5 |
| Characterizing Bias in Classifiers using Generative Models | May 30, 2019 | Bayesian Optimizationimage-classification | CodeCode Available | 0 | 5 |
| Bayesian Optimisation for Sequential Experimental Design with Applications in Additive Manufacturing | Jul 27, 2021 | Bayesian OptimisationBayesian Optimization | CodeCode Available | 0 | 5 |
| DAMe: Personalized Federated Social Event Detection with Dual Aggregation Mechanism | Sep 1, 2024 | Bayesian OptimizationEvent Detection | CodeCode Available | 0 | 5 |
| AdaCL:Adaptive Continual Learning | Mar 23, 2023 | Bayesian Optimizationclass-incremental learning | CodeCode Available | 0 | 5 |
| Discovering Physics-Informed Neural Networks Model for Solving Partial Differential Equations through Evolutionary Computation | May 18, 2024 | Bayesian Optimization | CodeCode Available | 0 | 5 |
| Identification of stormwater control strategies and their associated uncertainties using Bayesian Optimization | May 29, 2023 | Bayesian OptimizationComputational Efficiency | CodeCode Available | 0 | 5 |
| Data-Driven Learning of 3-Point Correlation Functions as Microstructure Representations | Sep 6, 2021 | Bayesian Optimization | CodeCode Available | 0 | 5 |
| Improving Environment Robustness of Deep Reinforcement Learning Approaches for Autonomous Racing Using Bayesian Optimization-based Curriculum Learning | Dec 16, 2023 | Autonomous DrivingAutonomous Racing | CodeCode Available | 0 | 5 |
| Adaptation Strategies for Automated Machine Learning on Evolving Data | Jun 9, 2020 | AutoMLBayesian Optimization | CodeCode Available | 0 | 5 |
| Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning | Jul 31, 2019 | Bayesian OptimizationDeep Learning | CodeCode Available | 0 | 5 |
| Amortized Inference for Gaussian Process Hyperparameters of Structured Kernels | Jun 16, 2023 | Active LearningBayesian Optimization | CodeCode Available | 0 | 5 |
