Fetching the paper…
Reading the bibliography…
Solving logistic regression with L1-regularization in distributed settings is an important problem.
MapReduce : Simplified Data Processing on Large Clusters
Dean, J. and Ghemawat, S. (2004) · 2004
Earlier work this paper cites.
Algorithms for Sparse Linear Classifiers in the Massive Data Setting
Balakrishnan, S. and Madigan, D. (2007) · 2007
Earlier work this paper cites.
Large-Scale Bayesian Logistic Regression for Text Categorization
Genkin, A., Lewis, D. D., and Madigan, D. (2007) · 2007
Earlier work this paper cites.
Sparse Online Learning via Truncated Gradient
Langford, J., Li, L., and Zhang, T. (2009) · 2009
Earlier work this paper cites.
A coordinate gradient descent method for nonsmooth separable minimization
Tseng, P. and Yun, S. (2009) · 2009
Earlier work this paper cites.
Regularization Paths for Generalized Linear Models via Coordinate Descent
Friedman, J., Hastie, T., and Tibshirani, R. (2010) · 2010
Earlier work this paper cites.
Graphlab: A new framework for parallel machine learning
Low, Y., Gonzalez, J., Kyrola, A., Bickson, D., Guestrin, C., and Hellerstein, J. M. (2010) · 2010
Cited alongside, same era.
A Comparison of Optimization Methods and Software for Large-scale L1-regularized Linear Classification
Yuan, G.-X., Chang, K.-W., Hsieh, C.-J., and Lin, C.-J. (2010) · 2010
Cited alongside, same era.
Parallelized Stochastic Gradient Descent
Zinkevich, M., Weimer, M., Smola, A., and Li, L. (2010) · 2010
Cited alongside, same era.
A reliable effective terascale linear learning system
Agarwal, A., Chapelle, O., Dudík, M., and Langford, J. (2011) · 2011
Cited alongside, same era.
Parallel Coordinate Descent for L1-Regularized Loss Minimization
Bradley, J. K., Kyrola, A., Bickson, D., and Guestrin, C. (2011) · 2011
Cited alongside, same era.
Parallel Coordinate Descent Methods for Big Data Optimization
Richtárik, P. and Takáč, M. (2012) · 2012
Later among the works it cites.
More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server
Ho, Q., Cipar, J., Cui, H., Kim, J. K., Lee, S., Gibbons, P. B., Gibson, G. A., Ganger, G. R., and Xing, E. P. (2013) · 2013
Later among the works it cites.
Ad Click Prediction: a View from the Trenches
McMahan, H. B., Holt, G., Sculley, D., Young, M., Ebner, D., Grady, J., Nie, L., Phillips, T., Davydov, E., Golovin, D., Chikkerur, S., Liu, D., Wattenberg, M., Hrafnkelsson, A. M., Boulos, T., and Kubica, J. (2013) · 2013
Later among the works it cites.
Parallel and Distributed Sparse Optimization
Peng, Z., Yan, M., and Yin, W. (2013) · 2013
Later among the works it cites.
An Improved GLMNET for L1-regularized Logistic Regression
Yuan, G.-X., Ho, C.-H., Hsieh, C.-J., and Lin, C.-J. (2012) · 2030
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Follow-the-Regularized-Leader and Mirror Descent : Equivalence Theorems and L1 Regularization
McMahan, H. B. (2011) · 2011
Cited alongside, same era.