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. Confidence Sets and Hypothesis Testing in a Likelihood-Free Inference Setting. International Conference on Machine Learning (ICML), 2020.

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. Validation of Approximate Likelihood and Emulator Models for Computationally Intensive Simulations. International Conference on Artificial Intelligence and Statistics (AISTATS), 2020.

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. Predictive Inference of a Wildfire Risk Pipeline in the United States. In NeurIPS 2019 Tackling Climate Change with Machine Learning Workshop (Spotlight), 2019.

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. Feature Engineering for Entity Resolution with Arabic Names: Improving Estimates of Observed Casualties in the Syrian Civil War. In NeurIPS 2019 AI + HADR Workshop (Spotlight), 2019.

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. Conditional Density Estimation Tools in Python and R with Applications to Photometric Redshifts and Likelihood-Free Cosmological Inference. In Astronomy and Computing, 2019.

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. Architectural Distant Reading Using Machine Learning to Identify Typological Traits Across Multiple Buildings. In CAAD Futures, 2019.

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. A Flexible Pipeline for Prediction of Tropical Cyclone Paths. In ICML 2019 CCAI Workshop, 2019.

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. Lebesgue Regression. In NeurIPS 2018 CRACT Workshop, 2018.