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Hard Thresholding Pursuit (HTP) is an iterative greedy selection procedure for finding sparse solutions of underdetermined linear systems.
An algorithm for quadratic programming
Frank, M. and Wolfe, P · 1956
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Matching pursuits with time-frequency dictionaries
Mallat, S. and Zhang, Zhifeng · 1993
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Sparse approximate solutions to linear systems
Natarajan, B. K · 1995
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Introduction to Graphical Modelling
Edwards, D. M · 2000
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Gradient lasso for feature selection
Kim, Yongdai and Kim, Jinseog · 2004
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Introductory Lectures on Convex Optimization: A Basic Course
Nesterov, Y · 2004
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Pattern Recognition and Machine Learning
Bishop, C.M · 2006
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Stable signal recovery from incomplete and inaccurate measurements
Candès, E. J., Romberg, J. K., and Tao, T · 2006
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Compressed sensing
Donoho, D. L · 2006
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Pharmacogenomic predictor of snesitivity to preoperative chemotherapy with paclitaxel and fluorouracil, doxorubicin, and cyclophosphamide in breast cancer
Hess, K. R., Anderson, K., Symmans, W. F., and et al · 2006
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Signal recovery from random measurements via orthogonal matching pursuit
Tropp, J. and Gilbert, A · 2007
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Sparse inverse covariance estimation with the graphical lasso
Friedman, J., Hastie, T., and Tibshirani, R · 2008
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Graphical models, exponential families, and variational inference
Wainwright, M.J. and Jordan, M.I · 2008
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Adative forward-backward greedy algorithm for sparse learning with linear models
Zhang, T · 2008
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A fast iterative shrinkage-thresholding algorithm for linear inverse problems
Beck, A. and Teboulle, Marc · 2009
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Iterative hard thresholding for compressed sensing
Blumensath, T. and Davies, M. E · 2009
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Subspace pursuit for compressive sensing signal reconstruction
Dai, W. and Milenkovic, O · 2009
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Smooth optimization approach for sparse covariance selection
Lu, Z · 2009
Sparse convex optimization methods for machine learning
Jaggi, M · 2011
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On learning discrete graphical models using greedy methods
Jalali, A., Johnson, C. C., and Ravikumar, P. K · 2011
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High-dimensional covariance estimation by minimizing ℓ 1 \ell_{1} -penalized log-determinant divergence
Ravikumar, P., Wainwright, M. J., Raskutti, G., and Yu, B · 2011
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Greedy algorithms for structurally constrained high dimensional problems
Tewari, A., Ravikumar, P., and Dhillon, I. S · 2011
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Introduction to the non-asymptotic analysis of random matrices
Vershynin, Roman · 2011
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Sparse recovery algorithms: sufficient conditions in terms of restricted isometry constants
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Alternating direction method of multipliers for covariance selection models
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Forward basis selection for sparse approximation over dictionary
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Forward basis selection for pursuing sparse representations over a dictionary
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