Articles with public access mandates - Stephen WrightLearn more
Available somewhere: 71
Sparse reconstruction by separable approximation
SJ Wright, RD Nowak, MAT Figueiredo
IEEE Transactions on signal processing 57 (7), 2479-2493, 2009
Mandates: US National Institutes of Health
A proximal method for composite minimization
AS Lewis, SJ Wright
Mathematical Programming 158, 501-546, 2016
Mandates: US National Science Foundation
An accelerated randomized Kaczmarz algorithm
J Liu, S Wright
Mathematics of Computation 85 (297), 153-178, 2016
Mandates: US National Science Foundation, US Department of Energy
Complexity analysis of second-order line-search algorithms for smooth nonconvex optimization
CW Royer, SJ Wright
SIAM Journal on Optimization 28 (2), 1448-1477, 2018
Mandates: US National Science Foundation, US Department of Defense
Accelerated block-coordinate relaxation for regularized optimization
SJ Wright
SIAM Journal on Optimization 22 (1), 159-186, 2012
Mandates: US National Institutes of Health
A Newton-CG algorithm with complexity guarantees for smooth unconstrained optimization
CW Royer, M O’Neill, SJ Wright
Mathematical Programming 180, 451-488, 2020
Mandates: US National Science Foundation, US Department of Defense
Manifold Identification in Dual Averaging for Regularized Stochastic Online Learning.
S Lee, SJ Wright
Journal of Machine Learning Research 13 (6), 2012
Mandates: German Research Foundation
Operator inference for non-intrusive model reduction with quadratic manifolds
R Geelen, S Wright, K Willcox
Computer Methods in Applied Mechanics and Engineering 403, 115717, 2023
Mandates: US Department of Energy, US Department of Defense
Training set debugging using trusted items
X Zhang, X Zhu, S Wright
Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018
Mandates: US National Science Foundation, US Department of Defense
Improved strongly adaptive online learning using coin betting
KS Jun, F Orabona, S Wright, R Willett
Artificial Intelligence and Statistics, 943-951, 2017
Mandates: US National Science Foundation, US National Institutes of Health
PMU placement for line outage identification via multinomial logistic regression
T Kim, SJ Wright
IEEE Transactions on Smart Grid 9 (1), 122-131, 2016
Mandates: US National Science Foundation, US Department of Energy
Analyzing vulnerability of power systems with continuous optimization formulations
T Kim, SJ Wright, D Bienstock, S Harnett
IEEE Transactions on Network Science and Engineering 3 (3), 132-146, 2016
Mandates: US National Science Foundation, US Department of Energy
Bilinear bandits with low-rank structure
KS Jun, R Willett, S Wright, R Nowak
International Conference on Machine Learning, 3163-3172, 2019
Mandates: US National Science Foundation, US Department of Defense, US National …
Bome! bilevel optimization made easy: A simple first-order approach
B Liu, M Ye, S Wright, P Stone, Q Liu
Advances in neural information processing systems 35, 17248-17262, 2022
Mandates: US National Science Foundation, US Department of Defense
Behavior of accelerated gradient methods near critical points of nonconvex functions
M O’Neill, SJ Wright
Mathematical Programming 176, 403-427, 2019
Mandates: US National Science Foundation, US Department of Defense
Blended conditonal gradients
G Braun, S Pokutta, D Tu, S Wright
International Conference on Machine Learning, 735-743, 2019
Mandates: US National Science Foundation, US Department of Defense
Random permutations fix a worst case for cyclic coordinate descent
CP Lee, SJ Wright
IMA Journal of Numerical Analysis 39 (3), 1246-1275, 2019
Mandates: US National Science Foundation, US Department of Energy, US Department of …
Complexity of proximal augmented Lagrangian for nonconvex optimization with nonlinear equality constraints
Y Xie, SJ Wright
Journal of Scientific Computing 86, 1-30, 2021
Mandates: US National Science Foundation, US Department of Defense
Inexact successive quadratic approximation for regularized optimization
C Lee, SJ Wright
Computational Optimization and Applications 72, 641-674, 2019
Mandates: US National Science Foundation, US Department of Defense
A fully first-order method for stochastic bilevel optimization
J Kwon, D Kwon, S Wright, RD Nowak
International Conference on Machine Learning, 18083-18113, 2023
Mandates: US National Science Foundation, US Department of Energy, US Department of …
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