Numerical Optimization

A Flexible Coordinate Descent Method

Avoiding Synchronization in First-Order Methods for Sparse Convex Optimization

Variational Perspective on Local Graph Clustering

Avoiding communication in primal and dual block coordinate descent methods

Performance of First- and Second-Order Methods for L1-Regularized Least Squares Problems

A Second-Order Method for Strongly-Convex L1-Regularization Problems

A Preconditioner for a Primal-dual Newton Conjugate Gradients Method for Compressed Sensing Problems

Matrix-free interior point method for compressed sensing problems