Publications

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

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

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. Experimental Design in Marketplaces. Statistical Science, 2023.

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. Cross-Study Replicability in Cluster Analysis. Statistical Science, 2023.

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

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

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

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

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

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. Multiple randomization designs. arXiv preprint arXiv:2112.13495, 2021.

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. Posterior representations of hierarchical completely random measures in trait allocation models. NeurIPS Workshop on All of Bayesian Nonparametrics, 2018.

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