11 citations · 18 across the 3 of their papers we have counts for
Showing 2018Show all
2 papers · 1 filter
cs.LG2018★ 7 cited
A Coordinate-Free Construction of Scalable Natural Gradient
Kevin Luk, Roger Grosse
Most neural networks are trained using first-order optimization methods, which are sensitive to the parameterization of the model. Natural gradient descent is invariant to smooth r…
cs.IR2018
Scalable Recommender Systems through Recursive Evidence Chains
Elias Tragas, Calvin Luo, Maxime Gazeau +2
Recommender systems can be formulated as a matrix completion problem, predicting ratings from user and item parameter vectors. Optimizing these parameters by subsampling data becom…