Perturbed Proximal Descent to Escape Saddle Points for Non-convex and Non-smooth Objective Functions

Zhishen Huang, Stephen Becker

A Randomized Approach to Efficient Kernel Clustering

Farhad Pourkamali-Anaraki, Stephen Becker

Sparse projections onto the simplex

Anastasios Kyrillidis, Stephen Becker, Volkan Cevher and +1

Stochastic Subspace Descent

David Kozak, Stephen Becker, Alireza Doostan +1

Tensor Robust Principal Component Analysis: Better recovery with atomic norm regularization

Derek Driggs, Stephen Becker, Jordan Boyd-Graber

On Quasi-Newton Forward--Backward Splitting: Proximal Calculus and Convergence

Stephen Becker, Jalal Fadili, Peter Ochs

Dual Smoothing and Level Set Techniques for Variational Matrix Decomposition

Aleksandr Y. Aravkin, Stephen Becker

Preconditioned Data Sparsification for Big Data with Applications to PCA and K-means

Farhad Pourkamali-Anaraki, Stephen Becker

Convex Optimization for Big Data

Volkan Cevher, Stephen Becker, Mark Schmidt

Penalized basis models for very large spatial datasets

Mitchell Krock, William Kleiber, Stephen Becker

An Algorithm for Splitting Parallel Sums of Linearly Composed Monotone Operators, with Applications to Signal Recovery

Stephen Becker, Patrick L. Combettes

A variational approach to stable principal component pursuit

Aleksandr Aravkin, Stephen Becker, Volkan Cevher +1

Quantum state tomography via compressed sensing

David Gross, Yi-Kai Liu, Steven T. Flammia +2

Adapting Regularized Low Rank Models for Parallel Architectures

Derek Driggs, Stephen Becker, Aleksandr Aravkin

Randomized Clustered Nystrom for Large-Scale Kernel Machines

Farhad Pourkamali-Anaraki, Stephen Becker

NESTA: A Fast and Accurate First-order Method for Sparse Recovery

Stephen Becker, Jerome Bobin, Emmanuel Candes

The Chen-Teboulle algorithm is the proximal point algorithm

Stephen Becker

The paper reexamines the Chen‑Teboulle algorithm in light of recent developments and demonstrates that it can be interpreted as a proximal point method, leading to an improved boun…

Efficient Adjoint Computation for Wavelet and Convolution Operators

James Folberth, Stephen Becker

Robust Partially-Compressed Least-Squares

Stephen Becker, Ban Kawas, Marek Petrik +1

General Optimization Framework for Robust and Regularized 3D Full Waveform Inversion

Stephen Becker, Lior Horesh, Aleksandr Aravkin +1

Efficient Dictionary Learning via Very Sparse Random Projections

Farhad Pourkamali-Anaraki, Stephen Becker, Shannon M. Hughes