Noah Marshall

According to our database, Noah Marshall authored at least 7 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Phases of Muon: When Muon Eclipses SignSGD.

Elliot Paquette, Noah Marshall, Lucas Benigni, Guangyuan Wang, Atish Agarwala, Courtney Paquette

CoRR, May, 2026

2025

Exact risk curves of signSGD in High-Dimensions: quantifying preconditioning and noise-compression effects.

Ke Liang Xiao, Noah Marshall, Atish Agarwala, Elliot Paquette

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

To Clip or not to Clip: the Dynamics of SGD with Gradient Clipping in High-Dimensions.

Noah Marshall, Ke Liang Xiao, Atish Agarwala, Elliot Paquette

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

A Clipped Trip: the Dynamics of SGD with Gradient Clipping in High-Dimensions.

Noah Marshall, Ke Liang Xiao, Atish Agarwala, Elliot Paquette

CoRR, 2024

2022

Model and data reduction for data assimilation: Particle filters employing projected forecasts and data with application to a shallow water model.

Aishah Albarakati, Marko Budisic, Rose Crocker, Juniper Glass-Klaiber, Sarah Iams, John Maclean, Noah Marshall, Colin Roberts, Erik S. Van Vleck

Comput. Math. Appl., 2022

FairCal: Fairness Calibration for Face Verification.

Tiago Salvador, Stephanie Cairns, Vikram Voleti, Noah Marshall, Adam M. Oberman

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Bias Mitigation of Face Recognition Models Through Calibration.

Tiago Salvador, Stephanie Cairns, Vikram Voleti, Noah Marshall, Adam M. Oberman

CoRR, 2021