Fetching the paper…
Reading the bibliography…
This paper studies the estimation of high-dimensional, discrete, possibly sparse, mixture models in topic models.
Maximum likelihood estimation for the multinomial distribution
1960
Earlier work this paper cites.
Maximum likelihood estimation for the multinomial distribution with infinite number of cells
1960
Earlier work this paper cites.
A New Proof of the Pearson-Fisher Theorem
1964
Earlier work this paper cites.
On choosing and bounding probability metrics
2002
Earlier work this paper cites.
Latent dirichlet allocation
2003
Earlier work this paper cites.
Topics in Optimal Transportation
2003
Earlier work this paper cites.
Convex Optimization
2004
Earlier work this paper cites.
Finding scientific topics
2004
Earlier work this paper cites.
Discrete Multivariate Analysis Theory and Practice
2007
Earlier work this paper cites.
Using mixture models for collaborative filtering
2008
Earlier work this paper cites.
Introduction to Nonparametric Estimation
2008
Earlier work this paper cites.
Simultaneous analysis of lasso and dantzig selector
2009
Earlier work this paper cites.
Learning word vectors for sentiment analysis
2011
Earlier work this paper cites.
Categorical Data Analysis, 3rd Edition
2012
Earlier work this paper cites.
A spectral algorithm for latent dirichlet allocation
2012
Cited alongside, same era.
Learning topic models–going beyond svd
2012
Cited alongside, same era.
Factoring nonnegative matrices with linear programs
2012
Cited alongside, same era.
Introduction to probabilistic topic models
2012
Cited alongside, same era.
A practical algorithm for topic modeling with provable guarantees
2013
Cited alongside, same era.
Topic discovery through data dependent and random projections
2013
Cited alongside, same era.
A signal processing perspective on hyperspectral unmixing: Insights from remote sensing
Provable algorithms for inference in topic models
2016
Later among the works it cites.
UCI machine learning repository
2017
Later among the works it cites.
A new svd approach to optimal topic estimation
2017
Later among the works it cites.
Inference for empirical wasserstein distances on finite spaces
2017
Later among the works it cites.
2017
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2013
Cited alongside, same era.
Efficient estimation of word representations in vector space
2013
Cited alongside, same era.
A provable svd-based algorithm for learning topics in dominant admixture corpus
2014
Cited alongside, same era.
Distributed representations of sentences and documents
2014
Cited alongside, same era.
Most large topic models are approximately separable
2015
Cited alongside, same era.
From word embeddings to document distances
2015
Cited alongside, same era.
2018
Later among the works it cites.
cistopic: cis-regulatory topic modeling on single-cell atac-seq data
2019
Later among the works it cites.
Sentence-bert: Sentence embeddings using siamese bert-networks
2019
Later among the works it cites.
Multisample estimation of bacterial composition matrices in metagenomics data
2020
Later among the works it cites.
Dissecting heterogeneous cell populations across drug and disease conditions with popalign
2020
Later among the works it cites.
Pre-trained models for natural language processing: A survey
2020
Later among the works it cites.
Assigning topics to documents by successive projections
2021
Closest in time.
Learning markov models via low-rank optimization
2021
Closest in time.