Distributed-memory tensor completion for generalized loss functions in python using new sparse tensor kernels.
Navjot SinghZecheng ZhangXiaoxiao WuNaijing ZhangSiyuan ZhangEdgar SolomonikPublished in: J. Parallel Distributed Comput. (2022)
Keyphrases
- loss function
- distributed memory
- support vector
- reproducing kernel hilbert space
- higher order
- squared error
- loss minimization
- convex loss functions
- ibm sp
- bayes rule
- learning to rank
- pairwise
- shared memory
- risk minimization
- dimensionality reduction
- kernel function
- feature selection
- parallel implementation
- cost sensitive
- pairwise constraints
- missing data
- linear combination
- high dimensional
- image segmentation