Anay Mehrotra

Grigoris Velegkas

CoRR, 2024

On the Limits of Language Generation: Trade-Offs Between Hallucination and Mode Collapse.

[BibT_eX]

[DOI]

Grigoris Velegkas

CoRR, 2024

Smaller Confidence Intervals From IPW Estimators via Data-Dependent Coarsening.

[BibT_eX]

[DOI]

Manolis Zampetakis

CoRR, 2024

Tree of Attacks: Jailbreaking Black-Box LLMs Automatically.

[BibT_eX]

[DOI]

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

Fair Classification with Partial Feedback: An Exploration-Based Data Collection Approach.

[BibT_eX]

[DOI]

Vijay Keswani

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Efficient Statistics With Unknown Truncation, Polynomial Time Algorithms, Beyond Gaussians.

[BibT_eX]

[DOI]

Jane H. Lee

Manolis Zampetakis

Proceedings of the 65th IEEE Annual Symposium on Foundations of Computer Science, 2024

Smaller Confidence Intervals From IPW Estimators via Data-Dependent Coarsening (Extended Abstract).

[BibT_eX]

[DOI]

Manolis Zampetakis

Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

2023

Maximizing Submodular Functions for Recommendation in the Presence of Biases.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Bias in Evaluation Processes: An Optimization-Based Model.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Subset Selection Based On Multiple Rankings in the Presence of Bias: Effectiveness of Fairness Constraints for Multiwinner Voting Score Functions.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Sampling Individually-Fair Rankings that are Always Group Fair.

[BibT_eX]

[DOI]

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

2022

Revisiting Group Fairness Metrics: The Effect of Networks.

[BibT_eX]

[DOI]

Jeff Sachs

Proc. ACM Hum. Comput. Interact., 2022

Fair Ranking with Noisy Protected Attributes.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Selection in the Presence of Implicit Bias: The Advantage of Intersectional Constraints.

[BibT_eX]

[DOI]

Bary S. R. Pradelski

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Fairness for AUC via Feature Augmentation.

[BibT_eX]

[DOI]

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021

Input Validation with Symbolic Execution.

[BibT_eX]

[DOI]

CoRR, 2021

Fair Classification with Adversarial Perturbations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Mitigating Bias in Set Selection with Noisy Protected Attributes.

[BibT_eX]

[DOI]

Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

The Effect of the Rooney Rule on Implicit Bias in the Long Term.

[BibT_eX]

[DOI]

Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

2020

Interventions for ranking in the presence of implicit bias.

[BibT_eX]

[DOI]

Proceedings of the FAT* '20: Conference on Fairness, 2020

2019

Fair Online Advertising.

[BibT_eX]

[DOI]

CoRR, 2019

Toward Controlling Discrimination in Online Ad Auctions.

[BibT_eX]

[DOI]