Closing the Computational-Query Depth Gap in Parallel Stochastic Convex Optimization.
Arun JambulapatiAaron SidfordKevin TianPublished in: CoRR (2024)
Keyphrases
- convex optimization
- interior point methods
- total variation
- low rank
- primal dual
- convex relaxation
- convex optimization problems
- convex formulation
- augmented lagrangian
- norm minimization
- convex constraints
- semidefinite program
- image sequences
- feature vectors
- alternating direction method of multipliers
- operator splitting