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ORCIDAnnie Marsden
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2020 – today
- 2024
[j1]Annie Marsden
, Vatsal Sharan, Aaron Sidford, Gregory Valiant:
Efficient Convex Optimization Requires Superlinear Memory. J. ACM 71(6): 41:1-41:37 (2024)- [i5]Annie Marsden, Evan Dogariu, Naman Agarwal, Xinyi Chen, Daniel Suo, Elad Hazan:
Provable Length Generalization in Sequence Prediction via Spectral Filtering. CoRR abs/2411.01035 (2024) - 2023
- [c4]Annie Marsden, Vatsal Sharan, Aaron Sidford, Gregory Valiant:
Efficient Convex Optimization Requires Superlinear Memory (Extended Abstract). IJCAI 2023: 6468-6473 - 2022
- [c3]Annie Marsden, Vatsal Sharan, Aaron Sidford, Gregory Valiant:
Efficient Convex Optimization Requires Superlinear Memory. COLT 2022: 2390-2430 - [c2]Jonathan A. Kelner, Annie Marsden, Vatsal Sharan, Aaron Sidford, Gregory Valiant, Honglin Yuan:
Big-Step-Little-Step: Efficient Gradient Methods for Objectives with Multiple Scales. COLT 2022: 2431-2540 - [i4]Annie Marsden, Vatsal Sharan, Aaron Sidford, Gregory Valiant:
Efficient Convex Optimization Requires Superlinear Memory. CoRR abs/2203.15260 (2022) - 2021
- [c1]Annie Marsden, John C. Duchi, Gregory Valiant:
Misspecification in Prediction Problems and Robustness via Improper Learning. AISTATS 2021: 2161-2169 - [i3]Annie Marsden, John C. Duchi, Gregory Valiant:
On Misspecification in Prediction Problems and Robustness via Improper Learning. CoRR abs/2101.05234 (2021) - [i2]Jonathan A. Kelner, Annie Marsden, Vatsal Sharan, Aaron Sidford, Gregory Valiant, Honglin Yuan:
Big-Step-Little-Step: Efficient Gradient Methods for Objectives with Multiple Scales. CoRR abs/2111.03137 (2021)
2010 – 2019
- 2017
- [i1]Annie Marsden, Sergio Bacallado:
Sequential Matrix Completion. CoRR abs/1710.08045 (2017)
Coauthor Index
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