Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Dual coordinate solvers for large-scale structural SVMs
Pegasos: primal estimated sub-gradient solver for SVM
Training linear {SVM}s in linear time
Linear Programming Support Vector Machines
Core Vector Machines : Fast SVM Training on Very Large Data Sets
An efficient proximal-gradient method for single and multi-task regression with structured sparsity
Parallel Coordinate Descent Methods for Big Data Optimization
Application of Machine Learning in Selecting Sparse Linear Solvers ⋆
Productive Parallel Linear Algebra Programming with Unstructured Topology Adaption
Sparse matrix solvers on the GPU: conjugate gradients and multigrid
On Full Jacobian Decomposition of the Augmented Lagrangian Method for Separable Convex Programming
Sequential Minimal Optimization: A Fast Algorithm for Training Support Vector Machines
A Scaled Conjugate Gradient Algorithm for Fast Supervised Learning
Support vectors selection by linear programming
A review of optimization methodologies in support vector machines
Learning as Search Optimization: Approximate Large Margin Methods for Structured Prediction
Efficient Structured Multifrontal Factorization for General Large Sparse Matrices
SEQUENTIAL MINIMAL OPTIMIZATION IN SUPPORT VECTOR MACHINE
A non-monotonic method for large-scale nonnegative least squares
Convex relaxations of structured matrix factorizations
Structured feature selection using coordinate descent optimization
analyzing figures of brain images from alzheimer ’ s disease papers .
The Pascal Visual Object Classes (VOC) Challenge
Can GAN Learn Topological Features of a Graph?
Inkjet Printing of Wideband Stacked Microstrip Patch Array Antenna on Ultrathin Flexible Substrates
Electromagnetic wave propagation in the millimeter wave band using the NVIDIA OptiX GPU ray tracing engine