Gradient Descent for Sparse Rank-One Matrix Completion for Crowd-Sourced Aggregation of Sparsely Interacting Workers.
Yao MaAlexander OlshevskyCsaba SzepesváriVenkatesh SaligramaPublished in: ICML (2018)
Keyphrases
- matrix completion
- rank aggregation
- crowd sourced
- rank minimization
- sparse representation
- crowd sourcing
- singular values
- low rank
- cost function
- ranked list
- object retrieval
- low rank approximation
- active learning
- information retrieval
- loss function
- high dimensional
- object recognition
- matrix factorization
- singular value decomposition
- semi supervised
- recommender systems
- learning algorithm
- data sets