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Designing and implementing efficient, provably correct parallel machine learning (ML) algorithms is challenging.
Bounds for certain multiprocessing anomalies
R. L. Graham · 1966
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Algorithms for VLSI processor arrays
H. T. Kung and C. E. Leiserson · 1980
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Probabilistic reasoning in intelligent systems: networks of plausible inference
J. Pearl · 1988
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Parallel and Distributed Computation: Numerical Methods
D. Bertsekas and J. Tsitsiklis · 1989
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Regression shrinkage and selection via the lasso
R. Tibshirani · 1996
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Penalized regressions: The bridge versus the lasso
Wenjiang J. Fu · 1998
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Analyzing the effectiveness and applicability of co-training
K. Nigam and R. Ghani · 2000
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MapReduce: simplified data processing on large clusters
J. Dean and S. Ghemawat · 2004
Cited alongside, same era.
Map-reduce for machine learning on multicore
C.T. Chu, S.K. Kim, Y.A. Lin, Y. Yu, G.R. Bradski, A.Y. Ng, and K. Olukotun · 2006
Cited alongside, same era.
Residual belief propagation: Informed scheduling for asynchronous message passing
G. Elidan, I. Mcgraw, and D. Koller · 2006
Cited alongside, same era.
Dryad: distributed data-parallel programs from sequential building blocks
M. Isard, M. Budiu, Y. Yu, A. Birrell, and D. Fetterly · 2007
Cited alongside, same era.
An interior-point method for large-scale ℓ \ell 1-regularized least squares
Seung-Jean Kim, K. Koh, M. Lustig, S. Boyd, and D. Gorinevsky · 2007
Cited alongside, same era.
Fully distributed EM for very large datasets
J. Wolfe, A. Haghighi, and D. Klein · 2008
Later among the works it cites.
Pig latin: A not-so-foreign language for data processing
C. Olston, B. Reed, U. Srivastava, R. Kumar, and A. Tomkins · 2008
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Gaussian Belief Propagation: Theory and Application
D. Bickson · 2008
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Planet: massively parallel learning of tree ensembles with mapreduce
B. Panda, J.S. Herbach, S. Basu, and R.J. Bayardo · 2009
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Stochastic gradient boosted distributed decision trees
J. Ye, J. Chow, J. Chen, and Z. Zheng · 2009
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Predicting risk from financial reports with regression
S. Kogan, D. Levin, B.R. Routledge, J.S. Sagi, and N. A. Smith · 2009
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Residual splash for optimally parallelizing belief propagation
J. Gonzalez, Y. Low, and C. Guestrin
Cited in the paper.
Distributed parallel inference on large factor graphs
J. Gonzalez, Y. Low, C. Guestrin, and D. O’Hallaron
Cited in the paper.
Learning to Extract Entities from Labeled and Unlabeled Text
R. Jones
Cited in the paper.