Fetching the paper…
Reading the bibliography…
To model modern large-scale datasets, we need efficient algorithms to infer a set of $P$ unknown model parameters from $N$ noisy measurements.
Mathematical Methods of Statistics
H. Cramér · 1946
Earlier work this paper cites.
Distribution of eigenvalues for some sets of random matrices
V.A. Marchenko and L.A. Pastur · 1967
Earlier work this paper cites.
Robust regression: asymptotics, conjectures and Monte Carlo
PJ Huber · 1973
Earlier work this paper cites.
Spin glass theory and beyond
M. Mezard, G. Parisi, and M.A. Virasoro · 1987
Earlier work this paper cites.
Optimally sparse representation in general (non-orthogonal) dictionaries via l1 minimization
D.L. Donoho and M. Elad · 2003
Earlier work this paper cites.
Decoding by linear programming
E. Candes and T. Tao · 2005
Earlier work this paper cites.
Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information
E. Candes, J. Romberg, and T. Tao · 2006
Earlier work this paper cites.
The properties of high-dimensional data spaces: implications for exploring gene and protein expression data
R. Clarke, HW Ressom, A. Wang, J. Xuan, MC Liu, EA Gehan, and Y. Wang · 2008
Earlier work this paper cites.
Community structure in large networks: Natural cluster sizes and the absence of large well-defined clusters
J. Leskovec, KJ Lang, A. Dasgupta, and MW Mahoney · 2009
Cited alongside, same era.
Robust Statistics
P. Huber and E. Ronchetti · 2009
Cited alongside, same era.
Asymptotic Analysis of MAP Estimation via the Replica Method and Compressed Sensing
S. Rangan, V. Goyal, and A. K. Fletcher · 2009
Cited alongside, same era.
Statistical mechanics of compressed sensing
S. Ganguli and H. Sompolinsky · 2010
Cited alongside, same era.
Sparse high dimensional models in economics
J. Fan, J. Lv, and L. Qi · 2011
Cited alongside, same era.
Compressed sensing, sparsity, and dimensionality in neuronal information processing and data analysis
S. Ganguli and H. Sompolinsky · 2012
Cited alongside, same era.
Statistical mechanics of complex neural systems and high dimensional data
Madhu Advani, Subhaneil Lahiri, and Surya Ganguli · 2013
Later among the works it cites.
High dimensional robust m-estimation: Asymptotic variance via approximate message passing
D. Donoho and A. Montanari · 2013
Later among the works it cites.
Asymptotic behavior of unregularized and ridge-regularized high-dimensional robust regression estimators : rigorous results
N. El Karoui · 2013
Later among the works it cites.
Optimal M-estimation in high-dimensional regression
D. Bean, PJ Bickel, N. El Karoui, and B. Yu · 2013
Later among the works it cites.
Proximal algorithms
N. Parikh and S. Boyd · 2013
Later among the works it cites.
Putting big data to good use in neuroscience
TJ Sejnowski, PS Churchland, and JA Movshon · 2014
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Macroanalysis: Digital methods and literary history
ML Jockers · 2013
Cited alongside, same era.
See http://ganguli-gang.stanford.edu/pdf/HighDimInf.Supp.pdf for supplementary material
Cited in the paper.
Big data analytics in healthcare: promise and potential
W. Raghupathi and V. Raghupathi · 2014
Later among the works it cites.