Publications

(2021). Diagnostics for Conditional Density Models and Bayesian Inference Algorithms. The 37th Conference on Uncertainty in Artifical Intelligence (UAI 2021), July 27-30, 2021.

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).

Preprint Slides Video

(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.

Preprint PDF Code Video

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

Preprint DOI

(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.

Preprint Code DOI

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

Preprint DOI