Publications

Weighted meta-learning

arXiv e-print 2003.09465, 2020

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Finite mixture models are typically inconsistent for the number of components

In submission, 2020

Finite mixture models are typically inconsistent for the number of components

NeurIPS Workshop on Machine Learning With Guarantees, 2019

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Exchangeable trait allocations

Electronic Journal of Statistics, 2018

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A Bayesian nonparametric view on count-min sketch

Advances in Neural Information Processing Systems (NeurIPS), 2018

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Finite mixture models are typically inconsistent for the number of components

NeurIPS Workshop on Advances in Approximate Bayesian Inference (AABI), 2017

Paintboxes and probability functions for edge-exchangeable graphs

NeurIPS Workshop on Adaptive and Scalable Nonparametric Methods in Machine Learning [Talk], 2016

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Edge-exchangeable graphs and sparsity

Advances in Neural Information Processing Systems (NeurIPS), 2016

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Priors on exchangeable directed graphs

Electronic Journal of Statistics, 2016

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Edge-exchangeable graphs, sparsity, and power laws

NeurIPS Workshop on Bayesian Nonparametrics [ISBA@NeurIPS Award & Talk], 2015

Edge-exchangeable graphs and sparsity

NeurIPS Workshop on Networks in the Social and Information Sciences [Spotlight], 2015

Completely random measures for modeling power laws in graphs

NeurIPS 2015 Workshop on Networks in the Social and Information Sciences [Spotlight], 2015

An iterative step-function estimator for graphons

arXiv e-print 1412.2129, 2014

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Scalable methods for Bayesian online changepoint detection

Harvard College Senior Thesis in Computer Science and Statistics, 2014