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Diana Cai

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Kernel Density Bayesian Inverse Reinforcement Learning

Mar 13, 2023
Aishwarya Mandyam, Didong Li, Diana Cai, Andrew Jones, Barbara E. Engelhardt

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Multi-fidelity Monte Carlo: a pseudo-marginal approach

Oct 04, 2022
Diana Cai, Ryan P. Adams

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Active multi-fidelity Bayesian online changepoint detection

Mar 26, 2021
Gregory W. Gundersen, Diana Cai, Chuteng Zhou, Barbara E. Engelhardt, Ryan P. Adams

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Finite mixture models are typically inconsistent for the number of components

Jul 08, 2020
Diana Cai, Trevor Campbell, Tamara Broderick

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Weighted Meta-Learning

Mar 20, 2020
Diana Cai, Rishit Sheth, Lester Mackey, Nicolo Fusi

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Edge-exchangeable graphs and sparsity (NIPS 2016)

Feb 03, 2017
Diana Cai, Trevor Campbell, Tamara Broderick

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Priors on exchangeable directed graphs

Dec 16, 2016
Diana Cai, Nathanael Ackerman, Cameron Freer

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Completely random measures for modeling power laws in sparse graphs

Mar 22, 2016
Diana Cai, Tamara Broderick

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Edge-exchangeable graphs and sparsity

Mar 22, 2016
Tamara Broderick, Diana Cai

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An iterative step-function estimator for graphons

May 12, 2015
Diana Cai, Nathanael Ackerman, Cameron Freer

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