Nathaniel Stromberg

According to our database, Nathaniel Stromberg authored at least 9 papers between 2023 and 2025.

Collaborative distances:

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

2025

Thumb on the Scale: Optimal Loss Weighting in Last Layer Retraining.

Nathan Stromberg, Christos Thrampoulidis, Lalitha Sankar

CoRR, June, 2025

CORAL: Disentangling Latent Representations in Long-Tailed Diffusion.

Esther Rodriguez, Monica Welfert, Samuel McDowell, Nathan Stromberg, Julian Antolin Camarena, Lalitha Sankar

CoRR, June, 2025

Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features.

Monica Welfert, Nathan Stromberg, Mario Díaz, Lalitha Sankar

CoRR, May, 2025

2024

For Robust Worst-Group Accuracy, Ignore Group Annotations.

Nathan Stromberg, Rohan Ayyagari, Monica Welfert, Sanmi Koyejo, Richard Nock, Lalitha Sankar

Trans. Mach. Learn. Res., 2024

Label Noise Robustness for Domain-Agnostic Fair Corrections via Nearest Neighbors Label Spreading.

Nathan Stromberg, Rohan Ayyagari, Sanmi Koyejo, Richard Nock, Lalitha Sankar

CoRR, 2024

Robustness to Subpopulation Shift with Domain Label Noise via Regularized Annotation of Domains.

Nathan Stromberg, Rohan Ayyagari, Monica Welfert, Sanmi Koyejo, Lalitha Sankar

CoRR, 2024

Enhancing Robustness of Last Layer Two-Stage Fair Model Corrections.

Nathan Stromberg, Rohan Ayyagari, Sanmi Koyejo, Richard Nock, Lalitha Sankar

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Theoretical Guarantees of Data Augmented Last Layer Retraining Methods.

Monica Welfert, Nathan Stromberg, Lalitha Sankar

Proceedings of the IEEE International Symposium on Information Theory, 2024

2023

Smoothly Giving up: Robustness for Simple Models.

Tyler Sypherd, Nathaniel Stromberg, Richard Nock, Visar Berisha, Lalitha Sankar

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023