Scalable Training of Hierarchical Topic Models

Summary: Scalable hLDA with partially collapsed Gibbs sampling and tree initialization to mitigate local optima in hierarchical topic models. Vectorized layouts and distributed dynamic matrices/trees yield 87x speedup vs prior hLDA, scalable to many cores. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 11788
Venue: VLDB
Year: 2018
Pagerank: -
Overall Rank: 13,341 | 7.28%
DOI: 10.14778/3192965.3192972

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
6,018	WarpLDA: a Cache Efficient O(1) Algorithm for Latent Dirichlet Allocation	2016	VLDB	5.2365238e-05

Semantically Similar Papers

Overall Rank	Paper	Year	Venue	Pagerank
10,208	Scalable Clustering Over High Dimensional Vector Streams	2026	SIGMOD	4.1905499e-05
2,330	Building Hierarchical Classifiers Using Class Proximity	1999	VLDB	9.0229333e-05
5,382	Scalable Ad-hoc Entity Extraction from Text Collections	2008	VLDB	5.5358382e-05
3,570	Large-Scale Collective Entity Matching	2011	VLDB	6.9563715e-05
5,169	HET-GMP: A Graph-based System Approach to Scaling Large Embedding Model Training	2022	SIGMOD	5.642415e-05
11,842	Topic Exploration in Spatio-Temporal Document Collections	2016	SIGMOD	4.1905499e-05
11,962	Scalable Topical Phrase Mining from Text Corpora	2015	VLDB	4.1905499e-05
6,018	WarpLDA: a Cache Efficient O(1) Algorithm for Latent Dirichlet Allocation	2016	VLDB	5.2365238e-05
330	An Architecture for Parallel Topic Models	2010	VLDB	0.00027271063
11,803	LDA*: A Robust and Large-scale Topic Modeling System	2017	VLDB	4.1905499e-05