Scalable Bayesian Low-Rank Decomposition of Incomplete Multiway Tensors.
Piyush RaiYingjian WangShengbo GuoGary ChenDavid B. DunsonLawrence CarinPublished in: ICML (2014)
Keyphrases
- binary matrix
- low rank
- high order
- missing data
- matrix factorization
- higher order
- convex optimization
- linear combination
- tensor decomposition
- low rank matrix
- rank minimization
- matrix completion
- matrix decomposition
- minimization problems
- kernel matrix
- missing values
- semi supervised
- singular value decomposition
- bayesian networks
- tensor factorization
- singular values
- high dimensional data
- markov random field
- incomplete data
- pairwise
- non rigid structure from motion
- robust principal component analysis
- recommender systems
- machine learning
- low rank representation