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| BayesOpt: A Library for Bayesian optimization with Robotics Applications | Sep 3, 2013 | Active LearningBayesian Optimization | —Unverified | 0 |
| An Experimental-Design Perspective on Population Genetic Variation | Aug 14, 2021 | Experimental Designvalid | —Unverified | 0 |
| Comparing hundreds of machine learning classifiers and discrete choice models in predicting travel behavior: an empirical benchmark | Feb 1, 2021 | Computational EfficiencyDiscrete Choice Models | —Unverified | 0 |
| Advancing the Scientific Method with Large Language Models: From Hypothesis to Discovery | May 22, 2025 | Experimental Design | —Unverified | 0 |
| Bayesian Sequential Optimal Experimental Design for Nonlinear Models Using Policy Gradient Reinforcement Learning | Oct 28, 2021 | Experimental Designreinforcement-learning | —Unverified | 0 |
| An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models | Jan 12, 2024 | Active LearningDiversity | —Unverified | 0 |
| Compressive Measurement Designs for Estimating Structured Signals in Structured Clutter: A Bayesian Experimental Design Approach | Nov 21, 2013 | Compressive SensingExperimental Design | —Unverified | 0 |
| A pretest-posttest pilot study for augmented reality-based physical-cognitive training in community-dwelling older adults at risk of mild cognitive impairment | Apr 29, 2024 | Experimental Design | —Unverified | 0 |
| Convergence Guarantees for Gaussian Process Means With Misspecified Likelihoods and Smoothness | Jan 29, 2020 | Experimental DesignGaussian Processes | —Unverified | 0 |