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Most Influential AISTATS 2007 Paper · 2026-03 edition

Hierarchical Beta Processes And The Indian Buffet Process

Romain Thibaux; Michael I. Jordan

Venue
Conference on Artificial Intelligence and Statistics (AISTATS) 2007
Recognition
Most Influential AISTATS 2007 Paper (Rank No. 2)
Edition
2026-03
Impact factor
6
Certificate ID
abfc7a004a633dce

Abstract

We show that the beta process is the de Finetti mixing distribution underlying the Indian buffet process of [2]. This result shows that the beta process plays the role for the Indian buffet process that the Dirichlet process plays for the Chinese restaurant process, a parallel that guides us in deriving analogs for the beta process of the many known extensions of the Dirichlet process. In particular we define Bayesian hierarchies of beta processes and use the connection to the beta process to develop posterior inference algorithms for the Indian buffet process. We also present an application to document classification, exploring a relationship between the hierarchical beta process and smoothed naive Bayes models.

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