publications

2026

1. COLM

   Domain-Aware Scaling Laws Uncover Data Synergy

   Kimia Hamidieh, Lester Mackey, and David Alvarez-Melis

   arXiv preprint arXiv:2607.11052, 2026

   arXiv BIB Code

   @article{hamidieh2026domain,
     title = {Domain-Aware Scaling Laws Uncover Data Synergy},
     author = {Hamidieh, Kimia and Mackey, Lester and Alvarez-Melis, David},
     journal = {arXiv preprint arXiv:2607.11052},
     year = {2026},
   }

2. ICLR

   Complementing Self-Consistency with Cross-Model Disagreement for Uncertainty Quantification

   Kimia Hamidieh, Veronika Thost, Walter Gerych, Mikhail Yurochkin, and Marzyeh Ghassemi

   In The Fourteenth International Conference on Learning Representations, 2026

   arXiv BIB HTML

   @inproceedings{hamidieh2026complementing,
     title = {Complementing Self-Consistency with Cross-Model Disagreement for Uncertainty Quantification},
     author = {Hamidieh, Kimia and Thost, Veronika and Gerych, Walter and Yurochkin, Mikhail and Ghassemi, Marzyeh},
     booktitle = {The Fourteenth International Conference on Learning Representations},
     year = {2026},
   }

2024

1. NeurIPS

   Improving Subgroup Robustness via Data Selection

   Saachi Jain^*, Kimia Hamidieh^*, Kristian Georgiev^*, Andrew Ilyas, Marzyeh Ghassemi, and Aleksander Madry

   Advances in Neural Information Processing Systems, 2024

   arXiv BIB

   @article{jain2024improving,
     title = {Improving Subgroup Robustness via Data Selection},
     author = {Jain, Saachi and Hamidieh, Kimia and Georgiev, Kristian and Ilyas, Andrew and Ghassemi, Marzyeh and Madry, Aleksander},
     journal = {Advances in Neural Information Processing Systems},
     volume = {37},
     pages = {94490--94511},
     year = {2024},
   }

2. NeurIPS

   BendVLM: Test-Time Debiasing of Vision-Language Embeddings

   Walter Gerych, Haoran Zhang, Kimia Hamidieh, Eileen Pan, Maanas K Sharma, Tom Hartvigsen, and Marzyeh Ghassemi

   Advances in Neural Information Processing Systems, 2024

   arXiv BIB

   @article{gerych2024bendvlm,
     title = {BendVLM: Test-Time Debiasing of Vision-Language Embeddings},
     author = {Gerych, Walter and Zhang, Haoran and Hamidieh, Kimia and Pan, Eileen and Sharma, Maanas K and Hartvigsen, Tom and Ghassemi, Marzyeh},
     journal = {Advances in Neural Information Processing Systems},
     volume = {37},
     pages = {62480--62502},
     year = {2024},
   }

3. AIES

   Identifying Implicit Social Biases in Vision-Language Models

   Kimia Hamidieh, Haoran Zhang, Walter Gerych, Thomas Hartvigsen, and Marzyeh Ghassemi

   In Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 2024

   arXiv BIB

   @inproceedings{hamidieh2024identifying,
     title = {Identifying Implicit Social Biases in Vision-Language Models},
     author = {Hamidieh, Kimia and Zhang, Haoran and Gerych, Walter and Hartvigsen, Thomas and Ghassemi, Marzyeh},
     booktitle = {Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society},
     volume = {7},
     pages = {547--561},
     year = {2024},
   }

4. ICLR

   Views Can Be Deceiving: Improved SSL Through Feature Space Augmentation

   Kimia Hamidieh, Haoran Zhang, Swami Sankaranarayanan, and Marzyeh Ghassemi

   In The Twelfth International Conference on Learning Representations, 2024

   arXiv BIB

   @inproceedings{hamidiehviews,
     title = {Views Can Be Deceiving: Improved SSL Through Feature Space Augmentation},
     author = {Hamidieh, Kimia and Zhang, Haoran and Sankaranarayanan, Swami and Ghassemi, Marzyeh},
     booktitle = {The Twelfth International Conference on Learning Representations},
     year = {2024},
   }

2022

1. ICLR

   Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning

   Natalie Dullerud, Karsten Roth, Kimia Hamidieh, Nicolas Papernot, and Marzyeh Ghassemi

   In International Conference on Learning Representations, 2022

   arXiv BIB

   @inproceedings{dullerudfairness,
     title = {Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning},
     author = {Dullerud, Natalie and Roth, Karsten and Hamidieh, Kimia and Papernot, Nicolas and Ghassemi, Marzyeh},
     booktitle = {International Conference on Learning Representations},
     year = {2022},
   }

2. FAccT

   The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations

   Aparna Balagopalan, Haoran Zhang, Kimia Hamidieh, Thomas Hartvigsen, Frank Rudzicz, and Marzyeh Ghassemi

   In Proceedings of the 2022 ACM conference on fairness, accountability, and transparency, 2022

   arXiv BIB

   @inproceedings{balagopalan2022road,
     title = {The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations},
     author = {Balagopalan, Aparna and Zhang, Haoran and Hamidieh, Kimia and Hartvigsen, Thomas and Rudzicz, Frank and Ghassemi, Marzyeh},
     booktitle = {Proceedings of the 2022 ACM conference on fairness, accountability, and transparency},
     pages = {1194--1206},
     year = {2022},
   }

3. arXiv

   Selective Prediction via Training Dynamics

   Stephan Rabanser, Anvith Thudi, Kimia Hamidieh, Adam Dziedzic, and Nicolas Papernot

   arXiv preprint arXiv:2205.13532, 2022

   arXiv BIB

   @article{rabanser2022selective,
     title = {Selective Prediction via Training Dynamics},
     author = {Rabanser, Stephan and Thudi, Anvith and Hamidieh, Kimia and Dziedzic, Adam and Papernot, Nicolas},
     journal = {arXiv preprint arXiv:2205.13532},
     year = {2022},
   }

4. BMC

   Pan-cancer integrative analysis of whole-genome De novo somatic point mutations reveals 17 cancer types

   Amin Ghareyazi, Amirreza Kazemi, Kimia Hamidieh, Hamed Dashti, Maedeh Sadat Tahaei, Hamid R Rabiee, Hamid Alinejad-Rokny, and Iman Dehzangi

   BMC bioinformatics, 2022

   BIB

   @article{ghareyazi2022pan,
     title = {Pan-cancer integrative analysis of whole-genome De novo somatic point mutations reveals 17 cancer types},
     author = {Ghareyazi, Amin and Kazemi, Amirreza and Hamidieh, Kimia and Dashti, Hamed and Tahaei, Maedeh Sadat and Rabiee, Hamid R and Alinejad-Rokny, Hamid and Dehzangi, Iman},
     journal = {BMC bioinformatics},
     volume = {23},
     number = {1},
     pages = {298},
     year = {2022},
     publisher = {Springer}
   }