| 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 | 80 | 2020 |
| Best approximate quantum compiling problems L Madden, A Simonetto ACM Transactions on Quantum Computing 3 (2), 1-29, 2022 | 44 | 2022 |
| 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 | 16 | 2021 |
| 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 | 14 | 2020 |
| High-probability convergence bounds for non-convex stochastic gradient descent L Madden, E Dall'Anese, S Becker arXiv preprint arXiv:2006.05610, 2020 | 11 | 2020 |
| A stochastic operator framework for inexact static and online optimization N Bastianello, L Madden, R Carli, E Dall’Anese arXiv preprint arXiv:2105.09884, 2021 | 9 | 2021 |
| Online sparse subspace clustering L Madden, S Becker, E Dall’Anese 2019 IEEE Data Science Workshop (DSW), 248-252, 2019 | 9 | 2019 |
| 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 | 5 | 2021 |
| 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 | 4 | 2022 |
| Sketching the Best Approximate Quantum Compiling Problem L Madden, A Akhriev, A Simonetto 2022 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2022 | 4 | 2022 |
| A stochastic operator framework for optimization and learning with sub-weibull errors N Bastianello, L Madden, R Carli, E Dall'Anese IEEE Transactions on Automatic Control, 2024 | 1 | 2024 |
| First-Order Methods for Online and Stochastic Optimization, and Approximate Compiling LM Madden University of Colorado at Boulder, 2022 | 1 | 2022 |
| Memory capacity of two layer neural networks with smooth activations L Madden, C Thrampoulidis SIAM Journal on Mathematics of Data Science 6 (3), 679-702, 2024 | | 2024 |
| Upper and lower memory capacity bounds of transformers for next-token prediction L Madden, C Fox, C Thrampoulidis arXiv preprint arXiv:2405.13718, 2024 | | 2024 |
| Memory capacity of three-layer neural networks with non-polynomial activations L Madden arXiv preprint arXiv:2405.13738, 2024 | | 2024 |
