Tin Nguyen
Tin Nguyen
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Unsupervised Learning
Independent finite approximations for Bayesian nonparametric inference
Completely random measures (CRMs) and their normalizations (NCRMs) offer flexible models in Bayesian nonparametrics. But their infinite …
Tin Nguyen
,
Jonathan Huggins
,
Lorenzo Masoero
,
Lester Mackey
,
Tamara Broderick
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Many processors, little time: MCMC for partitions via optimal transport couplings
Markov chain Monte Carlo (MCMC) methods are often used in clustering since they guarantee asymptotically exact expectations in the …
Tin Nguyen
,
Brian L. Trippe
,
Tamara Broderick
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