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cs.AI2011
Scaling Inference for Markov Logic with a Task-Decomposition Approach
Feng Niu, Ce Zhang, Christopher Ré +1
Motivated by applications in large-scale knowledge base construction, we study the problem of scaling up a sophisticated statistical inference framework called Markov Logic Network…
math.OC2011★ 1.2k cited
HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent
Feng Niu, Benjamin Recht, Christopher Re +1
Stochastic Gradient Descent (SGD) is a popular algorithm that can achieve state-of-the-art performance on a variety of machine learning tasks. Several researchers have recently pro…