(2021). Diagnostics for Conditional Density Models and Bayesian Inference Algorithms. Proceedings of the 37th Conference on Uncertainty in Artificial Intelligence (UAI 2021). To appear in PMLR.

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(2020). Wildfire Smoke and Air Quality: How Machine Learning Can Guide Forest Management. Tackling Climate Change with Machine Learning workshop at NeurIPS 2020 (Spotlight talk).

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(2020). Confidence Sets and Hypothesis Testing in a Likelihood-Free Inference Setting. Proceedings of the Thirty-Seventh International Conference on Machine Learning (ICML 2020), PMLR 119:2323-2334, 2020.

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(2019). Global and Local Two-Sample Tests via Regression. Electronic Journal of Statistics, 13(2): 5253–5305, 2019.

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(2017). Local Two-Sample Testing: A New Tool for Analysing High-Dimensional Astronomical Data. Monthly Notices of the Royal Astronomical Society (MNRAS), 471(3): 3273–3282, 2017.

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(2015). Nonparametric Conditional Density Estimation in a High-Dimensional Regression Setting.. Journal of Computational and Graphical Statistics, 25(4): 1297–1316, 2016.

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