Publications

• O. Guldogan, N. Sarna, Y. Li, and M. Berger. Counterfactually Fair Conformal Prediction. 29th International Conference on Artificial Intelligence and Statistics (AISTATS), 2026.

• O. Guldogan, J. Kunde, K. Lee, and R. Pedarsani. Multi-Bin Batching for Increasing LLM Inference Throughput. Preprint; under review.

• B. Puranik, O. Guldogan, U. Madhow, and R. Pedarsani. Long-Term Fairness in Sequential Multi-Agent Selection with Positive Reinforcement. IEEE Journal on Selected Areas in Information Theory, special issue on Information-Theoretic Methods for Trustworthy and Reliable ML, 2024.

• O. Guldogan, Y. Zeng, J. Sohn, R. Pedarsani, and K. Lee. Equal Improvability: A New Fairness Notion Considering the Long-term Impact. 11th International Conference on Learning Representations (ICLR), 2023.

* Equal contribution.