Bayesian Canonical correlation analysis

By Arto Klami, Seppo Virtanen, Samuel Kaski. 2013

192 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Statistics and Probability, Probabilistic & Bayesian Methods

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Analytical Chemistry

1. Shiliang Sun
2. Karen Livescu
3. Xin Xu
4. Weiran Wang
5. Simon Lacoste-Julien
6. Anastasia Podosinnikova
7. Jing Zhao
8. Xijiong Xie

In Statistics and Probability

1. Simon Lacoste-Julien
2. Chandan K. Reddy
3. Francis R. Bach
4. Vaibhav Rajan
5. Xin Xu
6. Honglak Lee
7. Weiran Wang
8. Sakyajit Bhattacharya

In Probabilistic & Bayesian Methods

1. Simon Lacoste-Julien
2. Anastasia Podosinnikova
3. Francis R. Bach
4. Karen Livescu
5. Barbara E. Engelhardt
6. Sayan Mukherjee
7. Chuan Gao
8. Shiwen Zhao

Citations in the corpus

• Beyond CCA: Moment Matching for Multi-View Models (2016, positive): “Some extensions of Gaussian CCA were proposed in the literature: exponential family CCA (Virta-nen, 2010; Klami et al., 2010) and Bayesian CCA (see, e.g., Klami et al., 2013, and references therein).”
• Bayesian group factor analysis with structured sparsity (2016, methodology): “The BCCA model (Klami et al., 2013) assumes a latent factor model for each observation through a shared latent vector x i ∈ R k×1 .”
• A Survey of Multi-View Representation Learning (2016, unknown): “Through fully investigating the characteristics of the existing successful multi-view representation learning techniques, we observe that there are several common underlying principles behind their success: correlation, consensus, and complementarity principles.”
• Multi-view learning overview: Recent progress and new challenges (2017, methodology): “Given this probabilistic interpretation, CCA has been extended to Bayesian CCA in fully Bayesian treatment recently [80].”
• Predicting Complications in Critical Care Using Heterogeneous Clinical Data (2016, background): “Classical CCA has been extended to a probabilistic formulation [47], to a Bayesian formulation [48] and a multi–view generalization of Bayesian CCA is given in [49].”
• Deep Variational Canonical Correlation Analysis (2016, methodology): “There is also a rich literature in modeling multi-view data using the same or similar graphical models behind VCCA/VCCA-private (Shon et al., 2006; Wang, 2007; Jia et al., 2010; Salzmann et al., 2010; Virtanen et al., 2011; Memisevic et al., 2012; Damianou et al., 2012; Klami et al., 2013).”