• WORHP

  • Referenced in 20 articles [sw10824]
  • Convexity is not required, but some smoothness and regularity assumptions are necessary for the underlying...
  • GCVPACK

  • Referenced in 13 articles [sw31699]
  • useful method of choosing a smoothing or regularization parameter and we describe the structure...
  • ForWaRD

  • Referenced in 55 articles [sw12296]
  • regularized deconvolution (ForWaRD) algorithm that performs noise regularization via scalar shrinkage in both the Fourier ... wavelet domain’s economical representation of piecewise smooth signals and images. We derive the optimal ... between the amount of Fourier and wavelet regularization by optimizing an approximate mean-squared error...
  • FacetNet

  • Referenced in 16 articles [sw20426]
  • generate evolutions, they also are regularized by the temporal smoothness of evolutions. As a result...
  • Pcp2Nurb

  • Referenced in 18 articles [sw00689]
  • piece of a regular C 1 surface. The patch integrates smoothly with untrimmed biquadratic tensor...
  • loo

  • Referenced in 20 articles [sw19420]
  • using Pareto smoothed importance sampling (PSIS), a new procedure for regularizing importance weights...
  • LASSO

  • Referenced in 33 articles [sw02850]
  • constraint in the regularization step. Starting from linear models, the idea of LASSO - using ... various models such as wavelets, kernel machines, smoothing splines, multiclass logistic models...
  • gvcm.cat

  • Referenced in 8 articles [sw13420]
  • models with regularized categorical effects, categorical effect modifiers, continuous effects and smooth effects...
  • SNLSDP

  • Referenced in 38 articles [sw05127]
  • algorithm first solves an SDP relaxation (with regularization) of the non-convex minimization problem ... with backtracking line search to solve the smooth unconstrained problem (2). This software package...
  • SpicyMKL

  • Referenced in 9 articles [sw14765]
  • general types of regularization. The proposed SpicyMKL iteratively solves smooth minimization problems. Thus, there ... formulation of MKL that includes non-sparse regularizations, such as elastic...
  • SLEP

  • Referenced in 42 articles [sw13487]
  • convergence rate O(1/k2) is optimal for smooth convex optimization via the first-order black ... pathwise solutions corresponding to a series of regularization parameters by the “warm-start” technique...
  • FPC_AS

  • Referenced in 70 articles [sw12218]
  • fast algorithm for solving the ℓ 1 -regularized minimization problem ... involves the minimization of a smaller and smooth quadratic function, is solved in the second...
  • NLREG

  • Referenced in 7 articles [sw08630]
  • nonlinear inverse problems, denoted as nonlinear regularization method and implemented in the program NLREG ... solution is smooth. Thus, one is restricted to a specific linear regularization term. However, there...
  • eulerAPE

  • Referenced in 2 articles [sw15822]
  • complete distinct objects due to their smoothness and regularity. However, circles cannot draw accurate diagrams ... draw accurate diagrams. However, polygons are non-smooth and non-symmetric, so the curves...
  • GENEREG

  • Referenced in 4 articles [sw08631]
  • nonlinear inverse problems, denoted as nonlinear regularization method and implemented in the program NLREG ... solution is smooth. Thus, one is restricted to a specific linear regularization term. However, there...
  • Inertial-SsGM

  • Referenced in 1 article [sw42307]
  • predominant approaches for solving stochastic optimization. On smooth nonconvex problems, a few acceleration techniques have ... weakly convex nonsmooth problems with a convex regularizer, composite ... nonconvex problems with a nonsmooth convex regularizer, and smooth nonconvex problems. For each problem class...
  • tsBCF

  • Referenced in 2 articles [sw40583]
  • terminal tree nodes with smooth functions and allows for separate regularization of treatment effects...
  • DiSCO

  • Referenced in 12 articles [sw28439]
  • logistic regression and binary classification with a smoothed hinge loss. In a standard setting ... points are i.i.d. sampled and when the regularization parameter scales as 1/sqrtn, we show that...
  • SpaRSA

  • Referenced in 3 articles [sw20467]
  • sparsity-inducing (usually the 1-norm) regularizer. We present an algorithmic framework for the more ... smooth convex function and a nonsmooth, possibly nonconvex regular izer. We propose iterative methods...
  • TVAL3

  • Referenced in 22 articles [sw08575]
  • solving a class of equality-constrained non-smooth optimization problems (chiefly but not necessarily convex ... problems in image reconstruction with total variation regularization. We present numerical results showing that...