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Lalitha Sankar
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Publications
- 2025
- [i92]Monica Welfert, Nathan Stromberg, Mario Díaz, Lalitha Sankar:
Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features. CoRR abs/2505.09004 (2025) - [i89]Esther Rodriguez, Monica Welfert, Samuel McDowell, Nathan Stromberg, Julian Antolin Camarena, Lalitha Sankar:
CORAL: Disentangling Latent Representations in Long-Tailed Diffusion. CoRR abs/2506.15933 (2025) - [i88]Nathan Stromberg, Christos Thrampoulidis, Lalitha Sankar:
Thumb on the Scale: Optimal Loss Weighting in Last Layer Retraining. CoRR abs/2506.20025 (2025) - 2024
- [j33]Nathan Stromberg, Rohan Ayyagari, Monica Welfert, Sanmi Koyejo, Richard Nock, Lalitha Sankar:
For Robust Worst-Group Accuracy, Ignore Group Annotations. Trans. Mach. Learn. Res. 2024 (2024) - [c70]Monica Welfert, Nathan Stromberg, Lalitha Sankar:
Theoretical Guarantees of Data Augmented Last Layer Retraining Methods. ISIT 2024: 581-586 - [c68]Nathan Stromberg, Rohan Ayyagari, Sanmi Koyejo, Richard Nock, Lalitha Sankar:
Enhancing Robustness of Last Layer Two-Stage Fair Model Corrections. NeurIPS 2024 - [i87]Nathan Stromberg, Rohan Ayyagari, Monica Welfert, Sanmi Koyejo, Lalitha Sankar:
Robustness to Subpopulation Shift with Domain Label Noise via Regularized Annotation of Domains. CoRR abs/2402.11039 (2024) - [i84]Monica Welfert, Nathan Stromberg, Lalitha Sankar:
Theoretical Guarantees of Data Augmented Last Layer Retraining Methods. CoRR abs/2405.05934 (2024) - [i83]Nathan Stromberg, Rohan Ayyagari, Sanmi Koyejo, Richard Nock, Lalitha Sankar:
Label Noise Robustness for Domain-Agnostic Fair Corrections via Nearest Neighbors Label Spreading. CoRR abs/2406.09561 (2024) - 2023
- [c66]Tyler Sypherd, Nathaniel Stromberg, Richard Nock, Visar Berisha, Lalitha Sankar:
Smoothly Giving up: Robustness for Simple Models. AISTATS 2023: 5376-5410 - [i82]Tyler Sypherd, Nathan Stromberg, Richard Nock, Visar Berisha, Lalitha Sankar:
Smoothly Giving up: Robustness for Simple Models. CoRR abs/2302.09114 (2023)

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