Pages that link to "Item:Q2896051"
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The following pages link to A fast hybrid algorithm for large-scale \(l_{1}\)-regularized logistic regression (Q2896051):
Displaying 15 items.
- \(\text{ALR}^n\): accelerated higher-order logistic regression (Q331666) (← links)
- A coordinate descent MM algorithm for fast computation of sparse logistic PCA (Q333734) (← links)
- Nonmonotone Barzilai-Borwein gradient algorithm for \(\ell_1\)-regularized nonsmooth minimization in compressive sensing (Q474971) (← links)
- Approximation accuracy, gradient methods, and error bound for structured convex optimization (Q607498) (← links)
- A centroid-based gene selection method for microarray data classification (Q738623) (← links)
- Calculus of the exponent of Kurdyka-Łojasiewicz inequality and its applications to linear convergence of first-order methods (Q1785009) (← links)
- ADMM-softmax: an ADMM approach for multinomial logistic regression (Q1988494) (← links)
- An extended Newton-type algorithm for \(\ell_2\)-regularized sparse logistic regression and its efficiency for classifying large-scale datasets (Q2033090) (← links)
- On the local convergence of a stochastic semismooth Newton method for nonsmooth nonconvex optimization (Q2082285) (← links)
- A stochastic extra-step quasi-Newton method for nonsmooth nonconvex optimization (Q2149551) (← links)
- A random block-coordinate Douglas-Rachford splitting method with low computational complexity for binary logistic regression (Q2419533) (← links)
- Alternating direction method of multipliers for \(\ell_{1}\)-\(\ell_{2}\)-regularized logistic regression model (Q2630840) (← links)
- A multilevel framework for sparse optimization with application to inverse covariance estimation and logistic regression (Q2830631) (← links)
- A fast dual algorithm for kernel logistic regression (Q5896780) (← links)
- A proximal stochastic quasi-Newton algorithm with dynamical sampling and stochastic line search (Q6655883) (← links)
