HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent
Feng NiuBenjamin RechtChristopher RéStephen J. WrightPublished in: CoRR (2011)
Keyphrases
- stochastic gradient descent
- loss function
- least squares
- matrix factorization
- step size
- random forests
- online algorithms
- weight vector
- regularization parameter
- multiple kernel learning
- bayesian framework
- importance sampling
- support vector machine
- pairwise
- random forest
- machine learning methods
- learning rate
- monte carlo
- small number
- wavelet transform
- cost function
- optical flow
- multiresolution