3k citations · 24.2k across the 299 of their papers we have counts for
3 papers · 2 filters
MLI: An API for Distributed Machine Learning
Evan R. Sparks, Ameet Talwalkar, Virginia Smith +6
MLI is an Application Programming Interface designed to address the challenges of building Machine Learn- ing algorithms in a distributed setting based on data-centric computing. I…
Optimistic Concurrency Control for Distributed Unsupervised Learning
Xinghao Pan, Joseph E. Gonzalez, Stefanie Jegelka +2
Research on distributed machine learning algorithms has focused primarily on one of two extremes - algorithms that obey strict concurrency constraints or algorithms that obey few o…
Mixture Representations for Inference and Learning in Boltzmann Machines
Neil D. Lawrence, Christopher M. Bishop, Michael I. Jordan
Boltzmann machines are undirected graphical models with two-state stochastic variables, in which the logarithms of the clique potentials are quadratic functions of the node states.…