Publications

(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.

Preprint Code Video

(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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