Stochastic Approximation for Canonical Correlation Analysis.
Raman AroraTeodor Vanislavov MarinovPoorya MianjyNati SrebroPublished in: NIPS (2017)
Keyphrases
- stochastic approximation
- canonical correlation analysis
- monte carlo
- canonical correlations
- least squares
- partial least squares
- equivalence relationship
- policy iteration
- data sets
- reinforcement learning
- neural network
- kernel cca
- theoretical guarantees
- markov decision processes
- pattern recognition
- temporal difference learning
- dimensionality reduction methods
- markov chain