Annie Marsden

According to our database, Annie Marsden authored at least 9 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Spectral Filtering for Learning Quantum Dynamics.

Elad Hazan, Annie Marsden

CoRR, January, 2026

2025

Isotropic Noise in Stochastic and Quantum Convex Optimization.

Annie Marsden, Liam O'Carroll, Aaron Sidford, Chenyi Zhang

CoRR, October, 2025

Dimension-free Regret for Learning Asymmetric Linear Dynamical Systems.

Annie Marsden, Elad Hazan

CoRR, February, 2025

Provable Length Generalization in Sequence Prediction via Spectral Filtering.

Annie Marsden, Evan Dogariu, Naman Agarwal, Xinyi Chen, Daniel Suo, Elad Hazan

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2023

Efficient Convex Optimization Requires Superlinear Memory (Extended Abstract).

Annie Marsden, Vatsal Sharan, Aaron Sidford, Gregory Valiant

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

Efficient Convex Optimization Requires Superlinear Memory.

Annie Marsden, Vatsal Sharan, Aaron Sidford, Gregory Valiant

Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

Big-Step-Little-Step: Efficient Gradient Methods for Objectives with Multiple Scales.

Jonathan A. Kelner, Annie Marsden, Vatsal Sharan, Aaron Sidford, Gregory Valiant, Honglin Yuan

Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

2021

Misspecification in Prediction Problems and Robustness via Improper Learning.

Annie Marsden, John C. Duchi, Gregory Valiant

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2017

Sequential Matrix Completion.

Annie Marsden, Sergio Bacallado

CoRR, 2017