214 citations · 457 across the 4 of their papers we have counts for
4 papers
GraphLab: A Distributed Framework for Machine Learning in the Cloud
Yucheng Low, Joseph Gonzalez, Aapo Kyrola +2
Machine Learning (ML) techniques are indispensable in a wide range of fields. Unfortunately, the exponential increase of dataset sizes are rapidly extending the runtime of sequenti…
Efficient Solution Algorithms for Factored MDPs
C. Guestrin, D. Koller, R. Parr +1
This paper addresses the problem of planning under uncertainty in large Markov Decision Processes (MDPs). Factored MDPs represent a complex state space using state variables and th…
Kernel Belief Propagation
Le Song, Arthur Gretton, Danny Bickson +2
We propose a nonparametric generalization of belief propagation, Kernel Belief Propagation (KBP), for pairwise Markov random fields. Messages are represented as functions in a repr…
Parallel Coordinate Descent for L1-Regularized Loss Minimization
Joseph K. Bradley, Aapo Kyrola, Danny Bickson +1
We propose Shotgun, a parallel coordinate descent algorithm for minimizing L1-regularized losses. Though coordinate descent seems inherently sequential, we prove convergence bounds…