Gradient Descent for Sparse Rank-One Matrix Completion for Crowd-Sourced Aggregation of Sparsely Interacting Workers.
Yao MaAlex OlshevskyCsaba SzepesváriVenkatesh SaligramaPublished in: J. Mach. Learn. Res. (2020)
Keyphrases
- matrix completion
- rank aggregation
- crowd sourced
- rank minimization
- sparse representation
- crowd sourcing
- singular values
- ranked list
- low rank
- cost function
- object retrieval
- active learning
- low rank approximation
- high dimensional
- stochastic gradient descent
- information retrieval
- incomplete data
- high order
- loss function