| AdjointNet: Constraining machine learning models with physics-based codes | Sep 8, 2021 | Active LearningBIG-bench Machine Learning | —Unverified | 0 |
| An Experimental Design Approach for Regret Minimization in Logistic Bandits | Feb 4, 2022 | Experimental Design | —Unverified | 0 |
| AutoOED: Automated Optimal Experimental Design Platform with Data- and Time-Efficient Multi-Objective Optimization | Sep 29, 2021 | Bayesian OptimizationBIG-bench Machine Learning | —Unverified | 0 |
| Effect of Imbalanced Datasets on Security of Industrial IoT Using Machine Learning | Dec 2, 2019 | BIG-bench Machine LearningExperimental Design | —Unverified | 0 |
| Bayesian Optimal Experimental Design for Simulator Models of Cognition | Oct 29, 2021 | Experimental Designparameter estimation | —Unverified | 0 |
| Active Adaptive Experimental Design for Treatment Effect Estimation with Covariate Choices | Mar 6, 2024 | Experimental Design | —Unverified | 0 |
| Evaluating LLMs on Chinese Topic Constructions: A Research Proposal Inspired by Tian et al. (2024) | Apr 21, 2025 | Experimental DesignSensitivity | —Unverified | 0 |
| Evaluation and Ensembling of Methods for Reverse Engineering of Brain Connectivity from Imaging Data | Mar 15, 2016 | BenchmarkingCausal Discovery | —Unverified | 0 |
| Expected Information Gain Estimation via Density Approximations: Sample Allocation and Dimension Reduction | Nov 13, 2024 | Density EstimationDimensionality Reduction | —Unverified | 0 |
| Bayesian Inference and Online Experimental Design for Mapping Neural Microcircuits | Dec 1, 2013 | Bayesian InferenceExperimental Design | —Unverified | 0 |