Recursive ℓ1, ∞ Group Lasso

  title={Recursive ℓ1, ∞ Group Lasso},
  author={Yilun Chen and Alfred O. Hero},
  journal={IEEE Trans. Signal Processing},
We introduce a recursive adaptive group lasso algorithm for real-time penalized least squares prediction that produces a time sequence of optimal sparse predictor coefficient vectors. At each time index the proposed algorithm computes an exact update of the optimal `1,∞-penalized recursive least squares (RLS) predictor. Each update minimizes a convex but nondifferentiable function optimization problem. We develop an online homotopy method to reduce the computational complexity. Numerical… CONTINUE READING
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and B

  • P. Zhao, G. Rocha
  • Yu, “The composite absolute penalties family for…
  • 2009
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Regularized LeastMeanSquare Algorithms

  • Y. Gu Y. Chen, A. O. Hero
  • Arxiv preprint arXiv : 1012 .
  • 2010

SPARLS : The sparse RLS algorithm

  • J. A. Bazerque D. Angelosante, G. B. Giannakis
  • Signal Processing , IEEE Transactions on
  • 2010

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