Accelerated SGD for Non-Strongly-Convex Least Squares.
Aditya VarreNicolas FlammarionPublished in: COLT (2022)
Keyphrases
- least squares
- stochastic gradient descent
- optical flow
- parameter estimation
- robust estimation
- convex optimization
- singular value decomposition
- sparse linear
- convex hull
- piecewise linear
- neural network
- globally optimal
- convex sets
- levenberg marquardt
- convex relaxation
- curve fitting
- risk minimization
- efficient algorithms for solving
- matrix factorization