Bayesian Nonparametrics in Mixture of Experts Models

Jan 1, 2022
Bayesian nonparametrics in mixture of experts models
TrungTin Nguyen
TrungTin Nguyen
Postdoctoral Fellow

A central theme of my research is data science at the intersection of statistical learning, machine learning and optimization.

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Talks

A non-asymptotic approach for model selection via penalization in high-dimensional mixture of experts models

Mixture of experts (MoE) are a popular class of statistical and machine learning models that have gained attention over the years due …
Dec 13, 2022 — Dec 16, 2022 Florence, Italy
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A non-asymptotic approach for model selection via penalization in high-dimensional mixture of experts models

Bayesian nonparametric mixture of experts for high-dimensional inverse problems

A wide class of problems can be formulated as inverse problems where the goal is to find parameter values that best explain some …
Oct 24, 2022 — Oct 28, 2022 Puerto Varas, Chile
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Bayesian nonparametric mixture of experts for high-dimensional inverse problems