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Liam Madden
Liam Madden
PhD student, Applied Mathematics department, University of Colorado Boulder
Verified email at colorado.edu
Title
Cited by
Cited by
Year
Optimization and learning with information streams: Time-varying algorithms and applications
E Dall'Anese, A Simonetto, S Becker, L Madden
IEEE Signal Processing Magazine 37 (3), 71-83, 2020
542020
Best approximate quantum compiling problems
L Madden, A Simonetto
ACM Transactions on Quantum Computing 3 (2), 1-29, 2022
172022
Bounds for the tracking error of first-order online optimization methods
L Madden, S Becker, E Dall’Anese
Journal of Optimization Theory and Applications, 1-21, 2021
122021
High probability convergence and uniform stability bounds for nonconvex stochastic gradient descent
L Madden, E Dall’Anese, S Becker
arXiv preprint arXiv:2006.05610, 2020
112020
Online sparse subspace clustering
L Madden, S Becker, E Dall’Anese
2019 IEEE Data Science Workshop (DSW), 248-252, 2019
92019
A stochastic operator framework for inexact static and online optimization
N Bastianello, L Madden, R Carli, E Dall'Anese
arXiv e-prints, arXiv: 2105.09884, 2021
52021
Convergence of the Inexact Online Gradient and Proximal-Gradient Under the Polyak-Łojasiewicz Condition.
S Kim, L Madden, E Dall’Anese
arXiv preprint arXiv:2108.03285, 2021
32021
High-probability convergence bounds for non-convex stochastic gradient descent
L Madden, E Dall'Anese, S Becker
arXiv e-prints, arXiv: 2006.05610, 2020
32020
Sketching the Best Approximate Quantum Compiling Problem
L Madden, A Akhriev, A Simonetto
2022 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2022
12022
First-Order Methods for Online and Stochastic Optimization, and Approximate Compiling
LM Madden
University of Colorado at Boulder, 2022
12022
Online Stochastic Gradient Methods Under Sub-Weibull Noise and the Polyak-Łojasiewicz Condition
S Kim, L Madden, E Dall’Anese
2022 IEEE 61st Conference on Decision and Control (CDC), 3499-3506, 2022
2022
A Stochastic Operator Framework for Static and Online Optimization with Sub-Weibull Errors
N Bastianello, L Madden, R Carli, E Dall'Anese
arXiv preprint arXiv:2105.09884, 2021
2021
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