Neel, Seth

Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness

Kearns, M., Neel, S., Roth, A., & Wu, Z. S. (2017) · arXiv

Ethics and Social Impacts of AIPrivacy-Preserving Technologies in Data

Cited by 469

A Convex Framework for Fair Regression

Berk, R., Heidari, H., Jabbari, S., Joseph, M., Kearns, M., Morgenstern, J., Neel, S., & Roth, A. (2017) · arXiv

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 198

Descent-to-Delete: Gradient-Based Methods for Machine Unlearning

Neel, S., Roth, A., & Sharifi-Malvajerdi, S. (2020) · arXiv

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 96

Fair Algorithms for Learning in Allocation Problems

Elzayn, H., Jabbari, S., Jung, C., Kearns, M., Neel, S., Roth, A., & Schutzman, Z. (2019) · Proceedings of the Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AIGame Theory and Voting Systems

Cited by 70

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Comanici, G., Bieber, E., Schaekermann, M., Pasupat, I., Sachdeva, N., Dhillon, I., Blistein, M., Ram, O., Zhang, D., Rosen, E., et al. (2025) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 69

Adaptive Machine Unlearning

Gupta, V., Jung, C., Neel, S., Roth, A., Sharifi-Malvajerdi, S., & Waites, C. (2021) · arXiv

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 67

Meritocratic Fairness for Infinite and Contextual Bandits

Joseph, M., Kearns, M., Morgenstern, J., Neel, S., & Roth, A. (2018) · Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society

Advanced Bandit Algorithms ResearchOptimization and Search Problems

Cited by 24

In-Context Unlearning: Language Models as Few Shot Unlearners

Pawelczyk, M., Neel, S., & Lakkaraju, H. (2023) · arXiv

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 20