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Papers
Scaling Stick-Breaking Attention: An Efficient Implementation and In-depth Study
ICLR 2025
Beyond Single Path Integrated Gradients for Reliable Input Attribution via Randomized Path Sampling
ICCV 2023
Consistent Model-based Clustering using the Quasi-Bernoulli Stick-breaking Process
JMLR 2023
GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement
NeurIPS 2021
Permuton-induced Chinese Restaurant Process
NeurIPS 2021
Tree-Structured Topic Modeling with Nonparametric Neural Variational Inference
ACL 2021
Baxter Permutation Process
NeurIPS 2020
A New Distribution on the Simplex with Auto-Encoding Applications
NeurIPS 2019
Permuted and Augmented Stick-Breaking Bayesian Multinomial Regression
JMLR 2018
Bayesian Language Model based on Mixture of Segmental Contexts for Spontaneous Utterances with Unexpected Words
COLING 2016
Ordered Stick-Breaking Prior for Sequential MCMC Inference of Bayesian Nonparametric Models
ICML 2015
A Conditional Multinomial Mixture Model for Superset Label Learning
NeurIPS 2012
Hierarchical Topic Modeling for Analysis of Time-Evolving Personal Choices
NeurIPS 2011
Logistic Stick-Breaking Process
JMLR 2011
Improvements to the Sequence Memoizer
NeurIPS 2010
Learning concept graphs from text with stick-breaking priors
NeurIPS 2010
Tree-Structured Stick Breaking for Hierarchical Data
NeurIPS 2010
A Bayesian Model for Simultaneous Image Clustering, Annotation and Object Segmentation
NeurIPS 2009
The Mondrian Process
NeurIPS 2008