Capacity-Achieving Sparse Regression Codes via Vector Approximate Message Passing.
Yizhou XuYuhao LiuShansuo LiangTing-Yi WuBo BaiJean BarbierTianQi HouPublished in: ISIT (2023)
Keyphrases
- message passing
- inference in graphical models
- sparse regression
- ldpc codes
- belief propagation
- sparse matrix
- feature selection and classification
- distributed systems
- junction tree
- approximate inference
- graphical models
- low density parity check
- linear regression
- markov random field
- error correction
- feature vectors
- low rank
- sum product
- stereo matching
- dimensionality reduction