| Fairness Constraints: Mechanisms for Fair Classification MB Zafar, I Valera, MG Rodriguez, KP Gummadi 20th International Conference on Artificial Intelligence and Statistics …, 2017 | 1078 | 2017 |
| Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment MB Zafar, I Valera, MG Rodriguez, KP Gummadi 26th International World Wide Web Conference (WWW), 2017 | 1061 | 2017 |
| A unified approach to quantifying algorithmic unfairness: Measuring individual &group unfairness via inequality indices T Speicher, H Heidari, N Grgic-Hlaca, KP Gummadi, A Singla, A Weller, ... Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 251 | 2018 |
| Fairness constraints: A flexible approach for fair classification MB Zafar, I Valera, M Gomez-Rodriguez, KP Gummadi The Journal of Machine Learning Research 20 (1), 2737-2778, 2019 | 250 | 2019 |
| Quantifying Search Bias: Investigating Sources of Bias for Political Searches in Social Media J Kulshrestha, M Eslami, J Messias, MB Zafar, S Ghosh, I Shibpur, ... 20th ACM Conference on Computer-Supported Cooperative Work and Social …, 2017 | 226 | 2017 |
| From Parity to Preference-based Notions of Fairness in Classification MB Zafar, I Valera, MG Rodriguez, KP Gummadi, A Weller 31st Conference on Neural Information Processing Systems (NIPS), 2017 | 210 | 2017 |
| The Case for Process Fairness in Learning: Feature Selection for Fair Decision Making N Grgic-Hlaca, MB Zafar, KP Gummadi, A Weller NIPS Symposium on ML and the Law, 2016 | 192 | 2016 |
| Beyond Distributive Fairness in Algorithmic Decision Making: Feature Selection for Procedurally Fair Learning N Grgic-Hlaca, MB Zafar, KP Gummadi, A Weller 32nd AAAI Conference on Artificial Intelligence (AAAI-18), 2018 | 190 | 2018 |
| Inferring User Interests in the Twitter Social Network P Bhattacharya, MB Zafar, N Ganguly, S Ghosh, KP Gummadi 8th ACM Conference on Recommender Systems (RecSys), 2014 | 150 | 2014 |
| Search bias quantification: investigating political bias in social media and web search J Kulshrestha, M Eslami, J Messias, MB Zafar, S Ghosh, KP Gummadi, ... Information Retrieval Journal 22, 188-227, 2019 | 97 | 2019 |
| On Sampling the Wisdom of Crowds: Random vs. Expert Sampling of the Twitter Stream S Ghosh, MB Zafar, P Bhattacharya, N Sharma, N Ganguly, K Gummadi 22nd ACM International Conference on Information & Knowledge Management …, 2013 | 87 | 2013 |
| Listening to Whispers of Ripple: Linking Wallets and Deanonymizing Transactions in the Ripple Network P Moreno-Sanchez, MB Zafar, A Kate Privacy Enhancing Technologies Symposium (PETS), 2016 | 78 | 2016 |
| Strength in Numbers: Robust Tamper Detection in Crowd Computations B Viswanath, MA Bashir, MB Zafar, S Bouget, S Guha, KP Gummadi, ... 2015 ACM Conference on Online Social Networks (COSN), 2015 | 56 | 2015 |
| Deep Twitter Diving: Exploring Topical Groups in Microblogs at Scale P Bhattacharya, S Ghosh, J Kulshrestha, M Mondal, MB Zafar, N Ganguly, ... 17th ACM Conference on Computer-Supported Cooperative Work & Social …, 2014 | 55 | 2014 |
| Fair bayesian optimization V Perrone, M Donini, MB Zafar, R Schmucker, K Kenthapadi, ... Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 854-863, 2021 | 52 | 2021 |
| Characterizing Information Diets of Social Media Users J Kulshrestha, MB Zafar, LE Noboa, KP Gummadi, S Ghosh 9th International AAAI Conference on Web and Social Media (ICWSM), 2015 | 51 | 2015 |
| Sampling Content from Online Social Networks: Comparing Random vs. Expert Sampling of the Twitter Stream MB Zafar, P Bhattacharya, N Ganguly, KP Gummadi, S Ghosh ACM Transactions on the Web (TWEB), 2015 | 50 | 2015 |
| On Fairness, Diversity and Randomness in Algorithmic Decision Making N Grgić-Hlača, MB Zafar, KP Gummadi, A Weller 4th Workshop on Fairness, Accountability, and Transparency in Machine …, 2017 | 26 | 2017 |
| Message Impartiality in Social Media Discussions MB Zafar, KP Gummadi, C Danescu-Niculescu-Mizil 10th International AAAI Conference on Web and Social Media (ICWSM), 2016 | 26 | 2016 |
| Amazon sagemaker clarify: Machine learning bias detection and explainability in the cloud M Hardt, X Chen, X Cheng, M Donini, J Gelman, S Gollaprolu, J He, ... arXiv preprint arXiv:2109.03285, 2021 | 18 | 2021 |
Krishna P. GummadiHead, Networked Systems Group, MPI-SWSVerified email at mpi-sws.org
