Gradient Descent for Sparse Rank-One Matrix Completion for Crowd-Sourced Aggregation of Sparsely Interacting Workers.
Yao MaAlex OlshevskyVenkatesh SaligramaCsaba SzepesváriPublished in: CoRR (2019)
Keyphrases
- matrix completion
- rank aggregation
- crowd sourced
- rank minimization
- sparse representation
- crowd sourcing
- low rank
- singular values
- ranked list
- low rank approximation
- cost function
- object retrieval
- active learning
- stochastic gradient descent
- loss function
- social networking
- decision trees
- high dimensional
- singular value decomposition
- high dimensional data
- theoretical guarantees
- query expansion
- probabilistic model
- data analysis
- object recognition
- face recognition