Computational Approaches for Stochastic Shortest Path on Succinct MDPs. - Krishnendu Chatterjee; Hongfei Fu 001; Amir Kafshdar Goharshady; Nastaran Okati (IJCAI, 2018)

Efficient parameterized algorithms for data packing. - Krishnendu Chatterjee; Amir Kafshdar Goharshady; Nastaran Okati; Andreas Pavlogiannis (Proc. ACM Program. Lang., 2019)

Classification Under Human Assistance. - Abir De; Nastaran Okati; Ali Zarezade; Manuel Gomez Rodriguez (AAAI, 2021)

Differentiable Learning Under Triage. - Nastaran Okati; Abir De; Manuel Gomez-Rodriguez (NeurIPS, 2021)

Provably Improving Expert Predictions with Conformal Prediction. - Eleni Straitouri; Lequn Wang; Nastaran Okati; Manuel Gomez Rodriguez (CoRR, 2022)

On the Within-Group Fairness of Screening Classifiers. - Nastaran Okati; Stratis Tsirtsis; Manuel Gomez Rodriguez (ICML, 2023)

Improving Expert Predictions with Conformal Prediction. - Eleni Straitouri; Lequn Wang; Nastaran Okati; Manuel Gomez Rodriguez (ICML, 2023)

On the Within-Group Discrimination of Screening Classifiers. - Nastaran Okati; Stratis Tsirtsis; Manuel Gomez Rodriguez (CoRR, 2023)

Towards Human-AI Complementarity with Prediction Sets. - Giovanni De Toni; Nastaran Okati; Suhas Thejaswi; Eleni Straitouri; Manuel Gomez Rodriguez (NeurIPS, 2024)

Towards Human-AI Complementarity with Predictions Sets. - Giovanni De Toni; Nastaran Okati; Suhas Thejaswi; Eleni Straitouri; Manuel Gomez-Rodriguez (CoRR, 2024)

Root Cause Analysis of Outliers with Missing Structural Knowledge. - Nastaran Okati; Sergio Hernan Garrido Mejia; William Roy Orchard; Patrick Blöbaum; Dominik Janzing (CoRR, 2024)

Is Your LLM Overcharging You? Tokenization, Transparency, and Incentives. - Ander Artola Velasco; Stratis Tsirtsis; Nastaran Okati; Manuel Gomez-Rodriguez (CoRR, 2025)

Measuring multi-calibration. - Ido Guy; Daniel Haimovich; Fridolin Linder; Nastaran Okati; Lorenzo Perini; Niek Tax; Mark Tygert (CoRR, 2025)