| Optimized pre-processing for discrimination prevention FP Calmon, D Wei, B Vinzamuri, KN Ramamurthy, KR Varshney Proceedings of the 31st International Conference on Neural Information …, 2017 | 1022 | 2017 |
| One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques V Arya, RKE Bellamy, PY Chen, A Dhurandhar, M Hind, SC Hoffman, ... arXiv preprint arXiv:1909.03012, 2019 | 493 | 2019 |
| METHOD FOR MARKET RISK ASSESSMENT FOR HEALTHCARE APPLICATIONS S Mahatma, A Mojsilovic, KN Ramamurthy, KR Varshney, D Wei, ... US Patent 20,160,321,748, 2016 | 319 | 2016 |
| Boolean decision rules via column generation S Dash, O Gunluk, D Wei Advances in Neural Information Processing Systems 31, 4655-4665, 2018 | 223 | 2018 |
| Is there a trade-off between fairness and accuracy? A perspective using mismatched hypothesis testing S Dutta, D Wei, H Yueksel, PY Chen, S Liu, K Varshney International Conference on Machine Learning, 2803-2813, 2020 | 168 | 2020 |
| A dictionary approach to electron backscatter diffraction indexing YH Chen, SU Park, D Wei, G Newstadt, MA Jackson, JP Simmons, ... Microscopy and Microanalysis 21 (3), 739-752, 2015 | 168 | 2015 |
| A dictionary approach to electron backscatter diffraction indexing YH Chen, SU Park, D Wei, G Newstadt, MA Jackson, JP Simmons, ... Microscopy and Microanalysis 21 (3), 739-752, 2015 | 168 | 2015 |
| TED: Teaching AI to explain its decisions M Hind, D Wei, M Campbell, NCF Codella, A Dhurandhar, A Mojsilović, ... Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 123-129, 2019 | 165 | 2019 |
| Linear programming algorithms for sparse filter design T Baran, D Wei, AV Oppenheim IEEE Transactions on Signal Processing 58 (3), 1605-1617, 2010 | 165 | 2010 |
| Deciding fast and slow: The role of cognitive biases in ai-assisted decision-making C Rastogi, Y Zhang, D Wei, KR Varshney, A Dhurandhar, R Tomsett Proceedings of the ACM on Human-Computer Interaction 6 (CSCW1), 1-22, 2022 | 129 | 2022 |
| Fair transfer learning with missing protected attributes A Coston, KN Ramamurthy, D Wei, KR Varshney, S Speakman, ... Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 91-98, 2019 | 117 | 2019 |
| AI Explainability 360 Toolkit V Arya, RKE Bellamy, PY Chen, A Dhurandhar, M Hind, SC Hoffman, ... Proceedings of the 3rd ACM India Joint International Conference on Data …, 2021 | 111 | 2021 |
| Ensemble estimators for multivariate entropy estimation K Sricharan, D Wei, AO Hero IEEE Transactions on Information Theory 59 (7), 4374-4388, 2013 | 97 | 2013 |
| Generalized Linear Rule Models D Wei, S Dash, T Gao, O Gunluk International Conference on Machine Learning, 6687-6696, 2019 | 76 | 2019 |
| DAGs with No Fears: A closer look at continuous optimization for learning Bayesian networks D Wei, T Gao, Y Yu Advances in Neural Information Processing Systems 33, 3895-3906, 2020 | 75 | 2020 |
| Interpretable Two-level Boolean Rule Learning for Classification G Su, D Wei, KR Varshney, DM Malioutov arXiv preprint arXiv:1511.07361, 2015 | 70 | 2015 |
| SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation C Fan, J Liu, Y Zhang, D Wei, E Wong, S Liu arXiv preprint arXiv:2310.12508, 2023 | 63 | 2023 |
| Your fairness may vary: Pretrained language model fairness in toxic text classification I Baldini, D Wei, KN Ramamurthy, M Yurochkin, M Singh arXiv preprint arXiv:2108.01250, 2021 | 62 | 2021 |
| A Constant-Factor Bi-Criteria Approximation Guarantee for k-means++ D Wei Advances in Neural Information Processing Systems, 604-612, 2016 | 58 | 2016 |
| A constant-factor bi-criteria approximation guarantee for k-means++ D Wei Advances in Neural Information Processing Systems 29, 604-612, 2016 | 58 | 2016 |
