Nil-Jana Akpinar, PhD Student
I am a PhD student in the joint program between the Department of Statistics and Data Science and the Machine Learning Department at Carnegie Mellon University. My research interests lie in statistical methodology, machine learning in high-stakes decision settings, and fairness, accountability and transparency in machine learning. I graduated with a Master of Science in Mathematics from the University of Freiburg in Germany in 2018. Before that, I obtained a Bachelor of Science in Economics (2017) and a Bachelor of Science in Mathematics (2015) from the University of Freiburg.
Research Interests: Statistical methodology, Fairness in machine learning, Machine learning in high-stakes decision settings
Publications
A Sandbox Tool to Bias(Stress)-Test Fairness Algorithms
Nil-Jana Akpinar, Manish Nagireddy, Logan Stapleton, Hao-Fei Cheng, Haiyi Zhu, Steven Wu, Hoda Heidari
Poster at the Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO 2022), 2022Counterfactual Metrics for Auditing Black-Box Recommender Systems for Ethical Concerns
Nil-Jana Akpinar*, Liu Leqi*, Dylan Hadfield-Menell, Zachary Lipton
Workshop on Responsible Decision Making in Dynamic Environments. International Conference on Machine Learning (ICML 2022), 2022Long-Term Dynamics of Fairness Intervention in Connection Recommender Systems
Nil-Jana Akpinar, Cyrus DiCiccio, Preetam Nandy, Kinjal Basu
Conference on Artificial Intelligence, Ethics, and Society (AIES), 2022The effect of differential victim crime reporting on predictive policing systems
Nil-Jana Akpinar, Maria De-Arteaga, Alexandra Chouldechova
Conference on Fairness, Accountability, and Transparency (FAccT 2021), 2021Analyzing Student Strategies In Blended Courses Using Clickstream Data
Nil-Jana Akpinar, Aaditya Ramdas, Umut Acar
Thirteenth International Conference on Educational Data Mining (EDM 2020), 2020Sample Complexity Bounds for Recurrent Neural Networks with Application to Combinatorial Graph Problems
Nil-Jana Akpinar, Bernhard Kratzwald, Stefan Feuerriegel
Thirty-Fourth Conference on Artifical Intelligence (AAAI 2020) (Student Abstract), 2020