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Permuted and Augmented Stick-Breaking Bayesian Multinomial Regression
v1v2v3 (latest)

Permuted and Augmented Stick-Breaking Bayesian Multinomial Regression

Journal of machine learning research (JMLR), 2016
30 December 2016
Quan Zhang
Mingyuan Zhou
ArXiv (abs)PDFHTML

Papers citing "Permuted and Augmented Stick-Breaking Bayesian Multinomial Regression"

2 / 2 papers shown
Easy Variational Inference for Categorical Models via an Independent
  Binary Approximation
Easy Variational Inference for Categorical Models via an Independent Binary ApproximationInternational Conference on Machine Learning (ICML), 2022
M. Wojnowicz
Shuchin Aeron
Preetish Rath
M. C. Hughes
255
2
0
31 May 2022
Pólygamma Data Augmentation to address Non-conjugacy in the Bayesian
  Estimation of Mixed Multinomial Logit Models
Pólygamma Data Augmentation to address Non-conjugacy in the Bayesian Estimation of Mixed Multinomial Logit Models
P. Bansal
Rico Krueger
M. Bierlaire
Ricardo A. Daziano
T. Rashidi
98
0
0
13 Apr 2019
1
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