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(2023). Independent finite approximations for Bayesian nonparametric inference. Bayesian Analysis 2023+; arXiv preprint arXiv:2009.10780.

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(2023). Leveraging covariate adjustments at scale in online A/B testing. 2023 ACM SIGKDD Workshop on Causal Discovery, Prediction and Decision.

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(2023). Cross-Study Replicability in Cluster Analysis. Statistical Science.

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(2023). Experimental Design in Marketplaces. Statistical Science.

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(2022). Double trouble: Predicting new variant counts across two heterogeneous populations. NeurIPS 2022 Workshop on Learning Meaningful Representations of Life.

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(2022). Scaled process priors for Bayesian nonparametric estimation of the unseen genetic variation. Journal of the American Statistical Association.

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(2021). Bayesian nonparametric strategies for power maximization in rare variants association studies. NeurIPS 2021 Workshop on Learning Meaningful Representations of Life..

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(2021). More for less: predicting and maximizing genomic variant discovery via Bayesian nonparametrics. Biometrika.

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(2021). Multiple randomization designs. arXiv preprint arXiv:2112.13495.

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(2021). The Chicago Police Department dataset. Neural Information Processing Systems Track on Datasets and Benchmarks.

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