| On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods | Jun 24, 2022 | Experimental DesignFraud Detection | —Unverified | 0 |
| Active Learning with Safety Constraints | Jun 22, 2022 | Active LearningDecision Making | —Unverified | 0 |
| Modeling the Machine Learning Multiverse | Jun 13, 2022 | BIG-bench Machine LearningExperimental Design | —Unverified | 0 |
| On the Performance of the Neyman Allocation with Small Pilots | Jun 9, 2022 | Experimental Design | —Unverified | 0 |
| A Two-Ball Ellsberg Paradox: An Experiment | Jun 9, 2022 | Experimental DesignVocal Bursts Valence Prediction | —Unverified | 0 |
| Inference for Matched Tuples and Fully Blocked Factorial Designs | Jun 8, 2022 | Experimental Design | —Unverified | 0 |
| Holistic Evaluation of Automatic TimeML Annotators | Jun 1, 2022 | Experimental DesignRelation Extraction | —Unverified | 0 |
| The Measuring Hate Speech Corpus: Leveraging Rasch Measurement Theory for Data Perspectivism | Jun 1, 2022 | Experimental Design | —Unverified | 0 |
| Targeted Adaptive Design | May 27, 2022 | Bayesian OptimizationExperimental Design | —Unverified | 0 |
| Characterizing the robustness of Bayesian adaptive experimental designs to active learning bias | May 27, 2022 | Active LearningExperimental Design | CodeCode Available | 0 |
