Fetching the paper…
Reading the bibliography…
The probabilistic topic model imposes a low-rank structure on the expectation of the corpus matrix.
The rotation of eigenvectors by a perturbation. iii
Davis, C. and W. M. Kahan (1970) · 1970
Earlier work this paper cites.
On tail probabilities for martingales
Freedman, D. A. (1975) · 1975
Earlier work this paper cites.
Matrix Analysis
Horn, R. and C. Johnson (1985) · 1985
Earlier work this paper cites.
Indexing by latent semantic analysis
Deerwester, S., S. T. Dumais, G. W. Furnas, T. K. Landauer, and R. Harshman (1990) · 1990
Earlier work this paper cites.
Overview of the first text retrieval conference (trec-1)
Harman, D. (1993) · 1993
Earlier work this paper cites.
Probabilistic latent semantic indexing
Hofmann, T. (1999) · 1999
Earlier work this paper cites.
The successive projections algorithm for variable selection in spectroscopic multicomponent analysis
Araújo, M. C. U., T. C. B. Saldanha, R. K. H. Galvao, T. Yoneyama, H. C. Chame, and V. Visani (2001) · 2001
Earlier work this paper cites.
A note on EM algorithm for probabilistic latent semantic analysis
Mei, Q. and C. Zhai (2001) · 2001
Earlier work this paper cites.
Latent dirichlet allocation
Blei, D., A. Ng, and M. Jordan (2003) · 2003
Earlier work this paper cites.
On an equivalence between PLSI and LDA
Girolami, M. and A. Kabán (2003) · 2003
Earlier work this paper cites.
When does non-negative matrix factorization give a correct decomposition into parts?
Donoho, D. and V. Stodden (2004) · 2004
Earlier work this paper cites.
Introduction to nonparametric estimation. revised and extended from the 2004 french original. translated by vladimir zaiats
Tsybakov, A. B. (2009) · 2004
Earlier work this paper cites.
A provable SVD-based algorithm for learning topics in dominant admixture corpus
Bansal, T., C. Bhattacharyya, and R. Kannan (2014) · 2005
Earlier work this paper cites.
On the equivalence between non-negative matrix factorization and probabilistic latent semantic indexing
Ding, C., T. Li, and W. Peng (2008) · 2008
Cited alongside, same era.
Learning topic models–going beyond SVD
Arora, S., R. Ge, and A. Moitra (2012) · 2012
Cited alongside, same era.
Hyperspectral unmixing overview: Geometrical, statistical, and sparse regression-based approaches
Bioucas-Dias, J. M., A. Plaza, N. Dobigeon, M. Parente, Q. Du, P. Gader, and J. Chanussot (2012) · 2012
Cited alongside, same era.
Probabilistic topic models
Blei, D. (2012) · 2012
Cited alongside, same era.
Introduction to the non-asymptotic analysis of random matrices
Vershynin, R. (2012) · 2012
Cited alongside, same era.
A practical algorithm for topic modeling with provable guarantees
Arora, S., R. Ge, Y. Halpern, D. Mimno, A. Moitra, D. Sontag, Y. Wu, and M. Zhu (2013) · 2013
A selective overview of sparse principal component analysis
Zou, H. and L. Xue (2018) · 2018
Closest in time.
Entrywise eigenvector analysis of random matrices with low expected rank
Abbe, E., J. Fan, K. Wang, and Y. Zhong (2020) · 2020
Closest in time.
Nonnegative matrix factorization via archetypal analysis
Javadi, H. and A. Montanari (2020) · 2020
Closest in time.
Bing, X., F. Bunea, S. Strimas-Mackey, and M. Wegkamp (2021) · 2021
Closest in time.
A new approach to vertex hunting by k-nearest neighborhood denoising
Chen, D., J. Jin, and Z. T. Ke (2021) · 2021
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Fast and robust recursive algorithmsfor separable nonnegative matrix factorization
Gillis, N. and S. A. Vavasis (2013) · 2013
Cited alongside, same era.
Fast community detection by SCORE
Jin, J. (2015) · 2015
Cited alongside, same era.
Coauthorship and citation networks for statisticians
Ji, P. and J. Jin (2016) · 2016
Cited alongside, same era.
Visualizing the structure of RNA-seq expression data using grade of membership models
Dey, K. K., C. J. Hsiao, and M. Stephens (2017) · 2017
Cited alongside, same era.
Estimating network memberships by simplex vertex hunting
Jin, J., Z. T. Ke, and S. Luo (2017) · 2017
Cited alongside, same era.
Poisson random fields for dynamic feature models
Perrone, V., P. A. Jenkins, D. Spano, and Y. W. Teh (2017) · 2017
Cited alongside, same era.
Valise: A robust vertex hunting algorithm with theoretical guarantees
Chen, D., Z. T. Ke, and S. Zhang (2021) · 2021
Closest in time.
How much can machines learn finance from chinese text data?
Fan, J., L. Xue, and Y. Zhou (2021) · 2021
Closest in time.
Meta-analysis on citations for statisticians
Ji, P., J. Jin, Z. T. Ke, and W. Li (2021) · 2021
Closest in time.
Topic modeling on triage notes with semiorthogonal nonnegative matrix factorization
Li, Y., R. Zhu, A. Qu, H. Ye, and Z. Sun (2021) · 2021
Closest in time.
Bayesian text classification and summarization via a class-specified topic model
Wang, F., J. L. Zhang, Y. Li, K. Deng, and J. S. Liu (2021) · 2021
Closest in time.
Factor models for high-dimensional tensor time series (with discussions)
Chen, R., D. Yang, and C.-H. Zhang (2022) · 2022
Closest in time.
Asymptotic theory of eigenvectors for random matrices with diverging spikes
Fan, J., Y. Fan, X. Han, and J. Lv (2022) · 2022
Closest in time.
Optimal estimation of the number of network communities
Jin, J., Z. T. Ke, S. Luo, and M. Wang (2022) · 2022
Closest in time.