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Nil-Jana Akpinar
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2020 – today
- 2024
- [c7]Riccardo Fogliato, Pratik Patil, Nil-Jana Akpinar, Mathew Monfort:
Precise Model Benchmarking with Only a Few Observations. EMNLP 2024: 9563-9575 - [c6]Nil-Jana Akpinar, Zachary C. Lipton, Alexandra Chouldechova:
The Impact of Differential Feature Under-reporting on Algorithmic Fairness. FAccT 2024: 1355-1382 - [i10]Nil-Jana Akpinar, Zachary C. Lipton, Alexandra Chouldechova:
The Impact of Differential Feature Under-reporting on Algorithmic Fairness. CoRR abs/2401.08788 (2024) - [i9]Jacqueline R. M. A. Maasch, Kyra Gan, Violet Chen, Agni Orfanoudaki, Nil-Jana Akpinar, Fei Wang:
Local Causal Discovery for Structural Evidence of Direct Discrimination. CoRR abs/2405.14848 (2024) - [i8]Nil-Jana Akpinar, Sina Fazelpour:
Authenticity and exclusion: social media recommendation algorithms and the dynamics of belonging in professional networks. CoRR abs/2407.08552 (2024) - [i7]Vibhhu Sharma, Shantanu Gupta, Nil-Jana Akpinar, Zachary C. Lipton, Liu Leqi:
A Unified Causal Framework for Auditing Recommender Systems for Ethical Concerns. CoRR abs/2409.13210 (2024) - [i6]Riccardo Fogliato, Pratik Patil, Nil-Jana Akpinar, Mathew Monfort:
Precise Model Benchmarking with Only a Few Observations. CoRR abs/2410.05222 (2024) - 2022
- [c5]Nil-Jana Akpinar, Cyrus DiCiccio, Preetam Nandy, Kinjal Basu:
Long-term Dynamics of Fairness Intervention in Connection Recommender Systems. AIES 2022: 22-35 - [i5]Nil-Jana Akpinar, Cyrus DiCiccio, Preetam Nandy, Kinjal Basu:
Long-term Dynamics of Fairness Intervention in Connection Recommender Systems. CoRR abs/2203.16432 (2022) - [i4]Nil-Jana Akpinar, Manish Nagireddy, Logan Stapleton, Hao Fei Cheng, Haiyi Zhu, Zhiwei Steven Wu, Hoda Heidari:
A Sandbox Tool to Bias(Stress)-Test Fairness Algorithms. CoRR abs/2204.10233 (2022) - 2021
- [c4]Nil-Jana Akpinar, Maria De-Arteaga, Alexandra Chouldechova:
The effect of differential victim crime reporting on predictive policing systems. FAccT 2021: 838-849 - [i3]Nil-Jana Akpinar, Maria De-Arteaga, Alexandra Chouldechova:
The effect of differential victim crime reporting on predictive policing systems. CoRR abs/2102.00128 (2021) - 2020
- [c3]Nil-Jana Akpinar, Bernhard Kratzwald, Stefan Feuerriegel:
Sample Complexity Bounds for RNNs with Application to Combinatorial Graph Problems (Student Abstract). AAAI 2020: 13745-13746 - [c2]Nil-Jana Akpinar, Aaditya Ramdas, Umut A. Acar:
Analyzing Student Strategies In Blended Courses Using Clickstream Data. EDM 2020 - [i2]Nil-Jana Akpinar, Aaditya Ramdas, Umut A. Acar:
Analyzing Student Strategies In Blended Courses Using Clickstream Data. CoRR abs/2006.00421 (2020)
2010 – 2019
- 2019
- [i1]Nil-Jana Akpinar, Bernhard Kratzwald, Stefan Feuerriegel:
Sample Complexity Bounds for Recurrent Neural Networks with Application to Combinatorial Graph Problems. CoRR abs/1901.10289 (2019) - 2017
- [c1]Nil-Jana Akpinar, Simon Alfano, Gregory E. Kersten, Bo Yu:
The Role of Sentiment and Cultural Differences in the Communication Process of e-Negotiations. GDN 2017: 132-144
Coauthor Index
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