| 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 |
| 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 |
| Optimal experimental design via Bayesian optimization: active causal structure learning for Gaussian process networks | Oct 9, 2019 | Active LearningBayesian Optimisation | —Unverified | 0 |
| Receding Horizon Curiosity | Oct 8, 2019 | Efficient ExplorationExperimental Design | CodeCode Available | 0 |
| On The Difficulty of Warm-Starting Neural Network Training | Sep 25, 2019 | Experimental Design | —Unverified | 0 |
| DECoVaC: Design of Experiments with Controlled Variability Components | Sep 21, 2019 | BIG-bench Machine LearningExperimental Design | —Unverified | 0 |
| Lexical Quantile-Based Text Complexity Measure | Sep 1, 2019 | ArticlesExperimental Design | —Unverified | 0 |
