| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ... arXiv preprint arXiv:2312.11805, 2023 | 2513 | 2023 |
| Fairness without demographics through adversarially reweighted learning P Lahoti, A Beutel, J Chen, K Lee, F Prost, N Thain, X Wang, E Chi Advances in neural information processing systems 33, 728-740, 2020 | 382 | 2020 |
| ifair: Learning individually fair data representations for algorithmic decision making P Lahoti, KP Gummadi, G Weikum IEEE 35th International Conference on Data Engineering (ICDE) 2019, 2018 | 216 | 2018 |
| Operationalizing individual fairness with pairwise fair representations P Lahoti, KP Gummadi, G Weikum Proceedings of VLDB Endowment 13 (4), 506–518, 2019 | 125 | 2019 |
| Joint non-negative matrix factorization for learning ideological leaning on twitter P Lahoti, K Garimella, A Gionis Proceedings of the Eleventh ACM International Conference on Web Search and …, 2018 | 65 | 2018 |
| FACTS-IR: fairness, accountability, confidentiality, transparency, and safety in information retrieval A Olteanu, J Garcia-Gathright, M de Rijke, MD Ekstrand, A Roegiest, ... ACM SIGIR Forum 53 (2), 20-43, 2021 | 53 | 2021 |
| Aart: Ai-assisted red-teaming with diverse data generation for new llm-powered applications B Radharapu, K Robinson, L Aroyo, P Lahoti arXiv preprint arXiv:2311.08592, 2023 | 34 | 2023 |
| An Empirical Study on Learning Fairness Metrics for COMPAS Data with Human Supervision H Wang, N Grgic-Hlaca, P Lahoti, KP Gummadi, A Weller In the NeurIPS Workshop on Human-centric Machine Learning, 2019 | 34 | 2019 |
| Improving diversity of demographic representation in large language models via collective-critiques and self-voting P Lahoti, N Blumm, X Ma, R Kotikalapudi, S Potluri, Q Tan, H Srinivasan, ... arXiv preprint arXiv:2310.16523, 2023 | 26 | 2023 |
| Finding topical experts in Twitter via query-dependent personalized PageRank P Lahoti, G De Francisci Morales, A Gionis Proceedings of the 2017 IEEE/ACM international conference on advances in …, 2017 | 23 | 2017 |
| Accounting for model uncertainty in algorithmic discrimination J Ali, P Lahoti, KP Gummadi Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 336-345, 2021 | 21 | 2021 |
| Responsible model deployment via model-agnostic uncertainty learning P Lahoti, K Gummadi, G Weikum Machine Learning 112 (3), 939-970, 2023 | 5 | 2023 |
| Efficient set intersection counting algorithm for text similarity measures P Lahoti, PK Nicholson, B Taneva 2017 Proceedings of the Ninteenth Workshop on Algorithm Engineering and …, 2017 | 5 | 2017 |
| FRAPPÉ: A Group Fairness Framework for Post-Processing Everything A Tifrea, P Lahoti, B Packer, Y Halpern, A Beirami, F Prost Forty-first International Conference on Machine Learning, 0 | 5 | |
| Weikum G. iFair: Learning individually fair data representations for algorithmic decision making P Lahoti, KP Gummadi Proceedings of the 2019 IEEE 35th International Conference on Data …, 0 | 5 | |
| Detecting and mitigating test-time failure risks via model-agnostic uncertainty learning P Lahoti, KP Gummadi, G Weikum 2021 IEEE International Conference on Data Mining (ICDM), 1174-1179, 2021 | 3 | 2021 |
| Inducing group fairness in llm-based decisions J Atwood, P Lahoti, A Balashankar, F Prost, A Beirami arXiv preprint arXiv:2406.16738, 2024 | 2 | 2024 |
| FRAPP\'E: A Post-Processing Framework for Group Fairness Regularization A Ţifrea, P Lahoti, B Packer, Y Halpern, A Beirami, F Prost arXiv preprint arXiv:2312.02592, 2023 | 1 | 2023 |
| Automated Adversarial Discovery for Safety Classifiers YK Lal, P Lahoti, A Sinha, Y Qin, A Balashankar arXiv preprint arXiv:2406.17104, 2024 | | 2024 |
| Operationalizing fairness for responsible machine learning P Lahoti Saarländische Universitäts-und Landesbibliothek, 2021 | | 2021 |
Krishna P. GummadiHead, Networked Systems Group, MPI-SWS確認したメール アドレス: mpi-sws.org