| Convolutional Neural Networks as Summary Statistics for Approximate Bayesian Computation | Jan 31, 2020 | Experimental DesignTime Series | —Unverified | 0 |
| Convergence Guarantees for Gaussian Process Means With Misspecified Likelihoods and Smoothness | Jan 29, 2020 | Experimental DesignGaussian Processes | —Unverified | 0 |
| Investigating naturalistic hand movements by behavior mining in long-term video and neural recordings | Jan 23, 2020 | Experimental Design | CodeCode Available | 1 |
| Memory-efficient Learning for Large-scale Computational Imaging -- NeurIPS deep inverse workshop | Dec 11, 2019 | Experimental DesignSuper-Resolution | —Unverified | 0 |
| Effect of Imbalanced Datasets on Security of Industrial IoT Using Machine Learning | Dec 2, 2019 | BIG-bench Machine LearningExperimental Design | —Unverified | 0 |
| Sample Efficient Active Learning of Causal Trees | Dec 1, 2019 | Active LearningExperimental Design | —Unverified | 0 |
| Investigating Active Learning and Meta-Learning for Iterative Peptide Design | Nov 20, 2019 | Active LearningBinary Classification | —Unverified | 0 |
| Replication-based emulation of the response distribution of stochastic simulators using generalized lambda distributions | Nov 20, 2019 | Experimental DesignUncertainty Quantification | —Unverified | 0 |
| Empirical Study of Off-Policy Policy Evaluation for Reinforcement Learning | Nov 15, 2019 | BenchmarkingDiversity | CodeCode Available | 0 |
| Bayesian nonparametric discontinuity design | Nov 15, 2019 | Causal InferenceExperimental Design | CodeCode Available | 0 |
| Incentive Compatible Active Learning | Nov 12, 2019 | Active LearningExperimental Design | —Unverified | 0 |
| Optimal Experimental Design for Staggered Rollouts | Nov 9, 2019 | Decision MakingExperimental Design | CodeCode Available | 0 |
| Adaptivity in Adaptive Submodularity | Nov 9, 2019 | Active LearningDecision Making | —Unverified | 0 |
| Confidence Intervals for Policy Evaluation in Adaptive Experiments | Nov 7, 2019 | Experimental DesignMulti-Armed Bandits | CodeCode Available | 0 |
| A Unified Stochastic Gradient Approach to Designing Bayesian-Optimal Experiments | Nov 1, 2019 | Experimental Design | CodeCode Available | 0 |
| 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 |
