• ADVI

  • Referenced in 27 articles [sw34040]
  • determines an appropriate variational family and optimizes the variational objective. We implement ADVI in Stan...
  • t-SNE

  • Referenced in 176 articles [sw22300]
  • variation of Stochastic Neighbor Embedding (Hinton and Roweis, 2002) that is much easier to optimize...
  • PISA

  • Referenced in 63 articles [sw01397]
  • specific to the optimization problem (e.g., evaluation of solutions, problem representation, variation of solutions...
  • RStan

  • Referenced in 85 articles [sw13990]
  • inference via variational approximation, and (optionally penalized) maximum likelihood estimation via optimization. In all three...
  • EdgePack

  • Referenced in 28 articles [sw00229]
  • phase, based on data locality optimization techniques and variations of matrix-vector product algorithm. Results...
  • ODL

  • Referenced in 18 articles [sw22359]
  • experiment with reconstruction methods and optimization algorithms for variational regularization, all without sacrificing performance...
  • CMA-ES

  • Referenced in 121 articles [sw05063]
  • linear or non-convex continuous optimization problems. They belong to the class of evolutionary algorithms ... biological evolution, namely the repeated interplay of variation (via mutation and recombination) and selection ... solutions, denoted as x) are generated by variation, usually in a stochastic way, and then ... Quasi-Newton method in classical optimization. In contrast to most classical methods, fewer assumptions...
  • rstan

  • Referenced in 42 articles [sw16103]
  • inference via variational approximation, and (optionally penalized) maximum likelihood estimation via optimization. In all three...
  • ghyp

  • Referenced in 27 articles [sw08162]
  • density, quantile, probability, random variates, expected shortfall and some portfolio optimization and plotting routines...
  • dCATCH

  • Referenced in 19 articles [sw40212]
  • variate polynomial fitting (computes d-variate compressed near G-optimal designs on discrete sets...
  • Siconos

  • Referenced in 12 articles [sw25724]
  • optimal control with state constraints), Optimization (Complementarity systems and Variational inequalities), Fluid Mechanics, and Computer...
  • Wirtinger Flow

  • Referenced in 110 articles [sw34175]
  • computational and data resources. In theory, a variation on this scheme leads to a near ... insights for the analysis of non-convex optimization schemes that may have implications for computational...
  • PICNIC

  • Referenced in 6 articles [sw20386]
  • extract genotypes and copy number variation function optimally for diploid genomes usually associated with inherited...
  • Strawberry Fields

  • Referenced in 7 articles [sw27772]
  • full-stack library for design, simulation, optimization, and quantum machine learning of continuous-variable circuits ... quantum polynomial, Hamiltonian simulation, and variational quantum circuit optimization...
  • InfoGAN

  • Referenced in 22 articles [sw40936]
  • optimized efficiently, and show that our training procedure can be interpreted as a variation...
  • OPECgen

  • Referenced in 20 articles [sw13463]
  • mathematical programs with quadratic objectives and affine variational inequality constraints. We describe a technique ... quadratic MPEC, that is an optimization problem whose objective function is quadratic, first-level constraints ... constraints are given by a parametric affine variational inequality or one of its specialisations...
  • UNVARTOP

  • Referenced in 1 article [sw39650]
  • Topology optimization using the unsmooth variational topology optimization (UNVARTOP) method. An educational implementation in Matlab ... code to solve two-dimensional structural topology optimization problems, including minimum mean compliance, compliant mechanism ... multi-load compliance problems. The Unsmooth Variational Topology Optimization (UNVARTOP) method, developed by the authors...
  • Sundance

  • Referenced in 19 articles [sw10599]
  • Sandia’s research efforts in PDE-constrained optimization, we are developing Sundance, an environment ... description, it is possible to specify a variational formulation of a PDE and its discretization ... Jacobians and Hessians for use in optimization algorithms...
  • VBayesLab

  • Referenced in 5 articles [sw41752]
  • dimensional Bayesian inference are developed using Gaussian variational approximation, with a parsimonious but flexible factor ... methods for the optimization, exploiting the factor structure of the variational covariance matrix in computation...
  • COAL

  • Referenced in 1 article [sw07690]
  • prototyping framework for convex optimization problems of variational image analysis We present the Convex Optimization ... modelling and solving convex optimization problems in connection with variational problems of image analysis. COAL ... analysis can be implemented and be reliably optimized using state-of-the-art algorithms, without ... COAL on four representative variational problems of image analysis...