| A QMC-deep learning method for diffusivity estimation in random domains | Oct 31, 2019 | Experimental Design | —Unverified | 0 |
| Bayesian Experimental Design for Finding Reliable Level Set under Input Uncertainty | Oct 26, 2019 | Active LearningExperimental Design | —Unverified | 0 |
| Leveraging Legacy Data to Accelerate Materials Design via Preference Learning | Oct 25, 2019 | Bayesian OptimizationData Integration | CodeCode Available | 0 |
| Grammatical Gender, Neo-Whorfianism, and Word Embeddings: A Data-Driven Approach to Linguistic Relativity | Oct 22, 2019 | Experimental DesignWord Embeddings | —Unverified | 0 |
| On Warm-Starting Neural Network Training | Oct 18, 2019 | Experimental Design | CodeCode Available | 0 |
| Genomic variety prediction via Bayesian nonparametrics | Oct 16, 2019 | Experimental DesignPrediction | —Unverified | 0 |
| BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization | Oct 14, 2019 | Bayesian OptimisationBayesian Optimization | CodeCode Available | 2 |
| Batch simulations and uncertainty quantification in Gaussian process surrogate approximate Bayesian computation | Oct 14, 2019 | Bayesian OptimisationComputational Efficiency | —Unverified | 0 |
| Multi-objective Evolutionary Algorithms are Still Good: Maximizing Monotone Approximately Submodular Minus Modular Functions | Oct 12, 2019 | Evolutionary AlgorithmsExperimental Design | —Unverified | 0 |
| Bayesian Optimization using Pseudo-Points | Oct 12, 2019 | Bayesian OptimizationExperimental Design | —Unverified | 0 |
