Bias Mitigation of Face Recognition Models Through Calibration. - Tiago Salvador; Stephanie Cairns; Vikram Voleti; Noah Marshall; Adam M. Oberman (CoRR, 2021)

FairCal: Fairness Calibration for Face Verification. - Tiago Salvador; Stephanie Cairns; Vikram Voleti; Noah Marshall; Adam M. Oberman (ICLR, 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)

A Clipped Trip: the Dynamics of SGD with Gradient Clipping in High-Dimensions. - Noah Marshall; Ke Liang Xiao; Atish Agarwala; Elliot Paquette (CoRR, 2024)

Exact Risk Curves of signSGD in High-Dimensions: Quantifying Preconditioning and Noise-Compression Effects. - Ke Liang Xiao; Noah Marshall; Atish Agarwala; Elliot Paquette (CoRR, 2024)

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 (ICLR, 2025)