Sequential Randomized Matrix Factorization for Gaussian Processes: Efficient Predictions and Hyper-parameter Optimization.
Shaunak D. BopardikarGeorge S. Eskander EkladiousPublished in: CoRR (2017)
Keyphrases
- matrix factorization
- gaussian processes
- parameter optimization
- collaborative filtering
- gaussian process
- recommender systems
- hyperparameters
- genetic algorithm ga
- multi task
- multi task learning
- missing data
- parameter settings
- sample size
- differential evolution
- maximum a posteriori
- parameter estimation
- support vector machine
- genetic algorithm