A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning.
Jin YuS. V. N. VishwanathanSimon GünterNicol N. SchraudolphPublished in: J. Mach. Learn. Res. (2010)
Keyphrases
- convex optimization
- superlinear convergence
- quasi newton
- interior point methods
- newton method
- variational inequalities
- convergence analysis
- primal dual
- low rank
- convex sets
- linear equations
- optimization methods
- optimization method
- step size
- optimality conditions
- regularized least squares
- total variation
- learning problems
- quadratic programming
- linear systems
- learning algorithm
- image denoising