Marsden, Annie

7 publications

NeurIPS 2025 Isotropic Noise in Stochastic and Quantum Convex Optimization Annie Marsden, Liam O'Carroll, Aaron Sidford, Chenyi Zhang

ICML 2025 Provable Length Generalization in Sequence Prediction via Spectral Filtering Annie Marsden, Evan Dogariu, Naman Agarwal, Xinyi Chen, Daniel Suo, Elad Hazan

NeurIPS 2025 Universal Sequence Preconditioning Annie Marsden, Elad Hazan

IJCAI 2023 Efficient Convex Optimization Requires Superlinear Memory (Extended Abstract) Annie Marsden, Vatsal Sharan, Aaron Sidford, Gregory Valiant

COLT 2022 Big-Step-Little-Step: Efficient Gradient Methods for Objectives with Multiple Scales Jonathan Kelner, Annie Marsden, Vatsal Sharan, Aaron Sidford, Gregory Valiant, Honglin Yuan

COLT 2022 Efficient Convex Optimization Requires Superlinear Memory Annie Marsden, Vatsal Sharan, Aaron Sidford, Gregory Valiant

AISTATS 2021 Misspecification in Prediction Problems and Robustness via Improper Learning Annie Marsden, John Duchi, Gregory Valiant