Capacity-Achieving Sparse Regression Codes via Vector Approximate Message Passing.
Yizhou XuYuhao LiuShansuo LiangTing-Yi WuBo Bob BaiJean BarbierTianQi HouPublished in: CoRR (2023)
Keyphrases
- message passing
- inference in graphical models
- sparse regression
- ldpc codes
- belief propagation
- feature selection and classification
- sparse matrix
- distributed systems
- markov random field
- junction tree
- approximate inference
- linear regression
- low rank
- error correction
- low density parity check
- sum product algorithm
- feature selection
- multi view
- decoding algorithm
- data sets
- pairwise
- active contours
- graphical models
- active learning
- feature vectors