BibTeX records: Preethi Lahoti

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@article{DBLP:journals/ml/LahotiGW23,
  author       = {Preethi Lahoti and
                  P. Krishna Gummadi and
                  Gerhard Weikum},
  title        = {Responsible model deployment via model-agnostic uncertainty learning},
  journal      = {Mach. Learn.},
  volume       = {112},
  number       = {3},
  pages        = {939--970},
  year         = {2023},
  url          = {https://doi.org/10.1007/s10994-022-06248-y},
  doi          = {10.1007/S10994-022-06248-Y},
  timestamp    = {Sat, 13 May 2023 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/ml/LahotiGW23.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/emnlp/RadharapuRAL23,
  author       = {Bhaktipriya Radharapu and
                  Kevin Robinson and
                  Lora Aroyo and
                  Preethi Lahoti},
  editor       = {Mingxuan Wang and
                  Imed Zitouni},
  title        = {{AART:} AI-Assisted Red-Teaming with Diverse Data Generation for New
                  LLM-powered Applications},
  booktitle    = {Proceedings of the 2023 Conference on Empirical Methods in Natural
                  Language Processing: {EMNLP} 2023 - Industry Track, Singapore, December
                  6-10, 2023},
  pages        = {380--395},
  publisher    = {Association for Computational Linguistics},
  year         = {2023},
  url          = {https://doi.org/10.18653/v1/2023.emnlp-industry.37},
  doi          = {10.18653/V1/2023.EMNLP-INDUSTRY.37},
  timestamp    = {Fri, 12 Apr 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/emnlp/RadharapuRAL23.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/emnlp/LahotiB0KPTSPBB23,
  author       = {Preethi Lahoti and
                  Nicholas Blumm and
                  Xiao Ma and
                  Raghavendra Kotikalapudi and
                  Sahitya Potluri and
                  Qijun Tan and
                  Hansa Srinivasan and
                  Ben Packer and
                  Ahmad Beirami and
                  Alex Beutel and
                  Jilin Chen},
  editor       = {Houda Bouamor and
                  Juan Pino and
                  Kalika Bali},
  title        = {Improving Diversity of Demographic Representation in Large Language
                  Models via Collective-Critiques and Self-Voting},
  booktitle    = {Proceedings of the 2023 Conference on Empirical Methods in Natural
                  Language Processing, {EMNLP} 2023, Singapore, December 6-10, 2023},
  pages        = {10383--10405},
  publisher    = {Association for Computational Linguistics},
  year         = {2023},
  url          = {https://doi.org/10.18653/v1/2023.emnlp-main.643},
  doi          = {10.18653/V1/2023.EMNLP-MAIN.643},
  timestamp    = {Fri, 12 Apr 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/emnlp/LahotiB0KPTSPBB23.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2310-16523,
  author       = {Preethi Lahoti and
                  Nicholas Blumm and
                  Xiao Ma and
                  Raghavendra Kotikalapudi and
                  Sahitya Potluri and
                  Qijun Tan and
                  Hansa Srinivasan and
                  Ben Packer and
                  Ahmad Beirami and
                  Alex Beutel and
                  Jilin Chen},
  title        = {Improving Diversity of Demographic Representation in Large Language
                  Models via Collective-Critiques and Self-Voting},
  journal      = {CoRR},
  volume       = {abs/2310.16523},
  year         = {2023},
  url          = {https://doi.org/10.48550/arXiv.2310.16523},
  doi          = {10.48550/ARXIV.2310.16523},
  eprinttype    = {arXiv},
  eprint       = {2310.16523},
  timestamp    = {Tue, 07 Nov 2023 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2310-16523.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2311-08592,
  author       = {Bhaktipriya Radharapu and
                  Kevin Robinson and
                  Lora Aroyo and
                  Preethi Lahoti},
  title        = {{AART:} AI-Assisted Red-Teaming with Diverse Data Generation for New
                  LLM-powered Applications},
  journal      = {CoRR},
  volume       = {abs/2311.08592},
  year         = {2023},
  url          = {https://doi.org/10.48550/arXiv.2311.08592},
  doi          = {10.48550/ARXIV.2311.08592},
  eprinttype    = {arXiv},
  eprint       = {2311.08592},
  timestamp    = {Tue, 21 Nov 2023 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2311-08592.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2312-02592,
  author       = {Alexandru Tifrea and
                  Preethi Lahoti and
                  Ben Packer and
                  Yoni Halpern and
                  Ahmad Beirami and
                  Flavien Prost},
  title        = {FRAPP{\'{E}}: {A} Post-Processing Framework for Group Fairness
                  Regularization},
  journal      = {CoRR},
  volume       = {abs/2312.02592},
  year         = {2023},
  url          = {https://doi.org/10.48550/arXiv.2312.02592},
  doi          = {10.48550/ARXIV.2312.02592},
  eprinttype    = {arXiv},
  eprint       = {2312.02592},
  timestamp    = {Wed, 13 Dec 2023 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2312-02592.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@phdthesis{DBLP:phd/dnb/Lahoti21,
  author       = {Preethi Lahoti},
  title        = {Operationalizing fairness for responsible machine learning},
  school       = {Saarland University, Saarbr{\"{u}}cken, Germany},
  year         = {2021},
  url          = {https://publikationen.sulb.uni-saarland.de/handle/20.500.11880/33465},
  urn          = {urn:nbn:de:bsz:291--ds-365860},
  timestamp    = {Fri, 12 Aug 2022 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/phd/dnb/Lahoti21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aies/0001LG21,
  author       = {Junaid Ali and
                  Preethi Lahoti and
                  Krishna P. Gummadi},
  editor       = {Marion Fourcade and
                  Benjamin Kuipers and
                  Seth Lazar and
                  Deirdre K. Mulligan},
  title        = {Accounting for Model Uncertainty in Algorithmic Discrimination},
  booktitle    = {{AIES} '21: {AAAI/ACM} Conference on AI, Ethics, and Society, Virtual
                  Event, USA, May 19-21, 2021},
  pages        = {336--345},
  publisher    = {{ACM}},
  year         = {2021},
  url          = {https://doi.org/10.1145/3461702.3462630},
  doi          = {10.1145/3461702.3462630},
  timestamp    = {Mon, 02 Aug 2021 11:56:00 +0200},
  biburl       = {https://dblp.org/rec/conf/aies/0001LG21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icdm/LahotiGW21,
  author       = {Preethi Lahoti and
                  Krishna P. Gummadi and
                  Gerhard Weikum},
  editor       = {James Bailey and
                  Pauli Miettinen and
                  Yun Sing Koh and
                  Dacheng Tao and
                  Xindong Wu},
  title        = {Detecting and Mitigating Test-time Failure Risks via Model-agnostic
                  Uncertainty Learning},
  booktitle    = {{IEEE} International Conference on Data Mining, {ICDM} 2021, Auckland,
                  New Zealand, December 7-10, 2021},
  pages        = {1174--1179},
  publisher    = {{IEEE}},
  year         = {2021},
  url          = {https://doi.org/10.1109/ICDM51629.2021.00141},
  doi          = {10.1109/ICDM51629.2021.00141},
  timestamp    = {Mon, 31 Jan 2022 08:58:55 +0100},
  biburl       = {https://dblp.org/rec/conf/icdm/LahotiGW21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2105-04249,
  author       = {Junaid Ali and
                  Preethi Lahoti and
                  Krishna P. Gummadi},
  title        = {Accounting for Model Uncertainty in Algorithmic Discrimination},
  journal      = {CoRR},
  volume       = {abs/2105.04249},
  year         = {2021},
  url          = {https://arxiv.org/abs/2105.04249},
  eprinttype    = {arXiv},
  eprint       = {2105.04249},
  timestamp    = {Fri, 14 May 2021 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2105-04249.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2109-04432,
  author       = {Preethi Lahoti and
                  Krishna P. Gummadi and
                  Gerhard Weikum},
  title        = {Detecting and Mitigating Test-time Failure Risks via Model-agnostic
                  Uncertainty Learning},
  journal      = {CoRR},
  volume       = {abs/2109.04432},
  year         = {2021},
  url          = {https://arxiv.org/abs/2109.04432},
  eprinttype    = {arXiv},
  eprint       = {2109.04432},
  timestamp    = {Tue, 21 Sep 2021 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2109-04432.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/LahotiBCLPT0C20,
  author       = {Preethi Lahoti and
                  Alex Beutel and
                  Jilin Chen and
                  Kang Lee and
                  Flavien Prost and
                  Nithum Thain and
                  Xuezhi Wang and
                  Ed H. Chi},
  editor       = {Hugo Larochelle and
                  Marc'Aurelio Ranzato and
                  Raia Hadsell and
                  Maria{-}Florina Balcan and
                  Hsuan{-}Tien Lin},
  title        = {Fairness without Demographics through Adversarially Reweighted Learning},
  booktitle    = {Advances in Neural Information Processing Systems 33: Annual Conference
                  on Neural Information Processing Systems 2020, NeurIPS 2020, December
                  6-12, 2020, virtual},
  year         = {2020},
  url          = {https://proceedings.neurips.cc/paper/2020/hash/07fc15c9d169ee48573edd749d25945d-Abstract.html},
  timestamp    = {Fri, 22 Apr 2022 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/nips/LahotiBCLPT0C20.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2006-13114,
  author       = {Preethi Lahoti and
                  Alex Beutel and
                  Jilin Chen and
                  Kang Lee and
                  Flavien Prost and
                  Nithum Thain and
                  Xuezhi Wang and
                  Ed H. Chi},
  title        = {Fairness without Demographics through Adversarially Reweighted Learning},
  journal      = {CoRR},
  volume       = {abs/2006.13114},
  year         = {2020},
  url          = {https://arxiv.org/abs/2006.13114},
  eprinttype    = {arXiv},
  eprint       = {2006.13114},
  timestamp    = {Wed, 01 Jul 2020 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2006-13114.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/pvldb/LahotiGW19,
  author       = {Preethi Lahoti and
                  Krishna P. Gummadi and
                  Gerhard Weikum},
  title        = {Operationalizing Individual Fairness with Pairwise Fair Representations},
  journal      = {Proc. {VLDB} Endow.},
  volume       = {13},
  number       = {4},
  pages        = {506--518},
  year         = {2019},
  url          = {http://www.vldb.org/pvldb/vol13/p506-lahoti.pdf},
  doi          = {10.14778/3372716.3372723},
  timestamp    = {Tue, 23 Mar 2021 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/pvldb/LahotiGW19.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/sigir/OlteanuGRERLBOL19,
  author       = {Alexandra Olteanu and
                  Jean Garcia{-}Gathright and
                  Maarten de Rijke and
                  Michael D. Ekstrand and
                  Adam Roegiest and
                  Aldo Lipani and
                  Alex Beutel and
                  Ana Lucic and
                  Ana{-}Andreea Stoica and
                  Anubrata Das and
                  Asia Biega and
                  Bart Voorn and
                  Claudia Hauff and
                  Damiano Spina and
                  David D. Lewis and
                  Douglas W. Oard and
                  Emine Yilmaz and
                  Faegheh Hasibi and
                  Gabriella Kazai and
                  Graham McDonald and
                  Hinda Haned and
                  Iadh Ounis and
                  Ilse van der Linden and
                  Joris Baan and
                  Kamuela N. Lau and
                  Krisztian Balog and
                  Mahmoud F. Sayed and
                  Maria Panteli and
                  Mark Sanderson and
                  Matthew Lease and
                  Preethi Lahoti and
                  Toshihiro Kamishima},
  title        = {{FACTS-IR:} fairness, accountability, confidentiality, transparency,
                  and safety in information retrieval},
  journal      = {{SIGIR} Forum},
  volume       = {53},
  number       = {2},
  pages        = {20--43},
  year         = {2019},
  url          = {https://doi.org/10.1145/3458553.3458556},
  doi          = {10.1145/3458553.3458556},
  timestamp    = {Thu, 14 Oct 2021 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/sigir/OlteanuGRERLBOL19.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icde/LahotiGW19,
  author       = {Preethi Lahoti and
                  Krishna P. Gummadi and
                  Gerhard Weikum},
  title        = {iFair: Learning Individually Fair Data Representations for Algorithmic
                  Decision Making},
  booktitle    = {35th {IEEE} International Conference on Data Engineering, {ICDE} 2019,
                  Macao, China, April 8-11, 2019},
  pages        = {1334--1345},
  publisher    = {{IEEE}},
  year         = {2019},
  url          = {https://doi.org/10.1109/ICDE.2019.00121},
  doi          = {10.1109/ICDE.2019.00121},
  timestamp    = {Wed, 16 Oct 2019 14:14:56 +0200},
  biburl       = {https://dblp.org/rec/conf/icde/LahotiGW19.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1907-01439,
  author       = {Preethi Lahoti and
                  Krishna P. Gummadi and
                  Gerhard Weikum},
  title        = {Operationalizing Individual Fairness with Pairwise Fair Representations},
  journal      = {CoRR},
  volume       = {abs/1907.01439},
  year         = {2019},
  url          = {http://arxiv.org/abs/1907.01439},
  eprinttype    = {arXiv},
  eprint       = {1907.01439},
  timestamp    = {Mon, 08 Jul 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-1907-01439.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1910-10255,
  author       = {Hanchen Wang and
                  Nina Grgic{-}Hlaca and
                  Preethi Lahoti and
                  Krishna P. Gummadi and
                  Adrian Weller},
  title        = {An Empirical Study on Learning Fairness Metrics for {COMPAS} Data
                  with Human Supervision},
  journal      = {CoRR},
  volume       = {abs/1910.10255},
  year         = {2019},
  url          = {http://arxiv.org/abs/1910.10255},
  eprinttype    = {arXiv},
  eprint       = {1910.10255},
  timestamp    = {Fri, 25 Oct 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-1910-10255.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/wsdm/LahotiGG18,
  author       = {Preethi Lahoti and
                  Kiran Garimella and
                  Aristides Gionis},
  editor       = {Yi Chang and
                  Chengxiang Zhai and
                  Yan Liu and
                  Yoelle Maarek},
  title        = {Joint Non-negative Matrix Factorization for Learning Ideological Leaning
                  on Twitter},
  booktitle    = {Proceedings of the Eleventh {ACM} International Conference on Web
                  Search and Data Mining, {WSDM} 2018, Marina Del Rey, CA, USA, February
                  5-9, 2018},
  pages        = {351--359},
  publisher    = {{ACM}},
  year         = {2018},
  url          = {https://doi.org/10.1145/3159652.3159669},
  doi          = {10.1145/3159652.3159669},
  timestamp    = {Thu, 13 Aug 2020 18:13:38 +0200},
  biburl       = {https://dblp.org/rec/conf/wsdm/LahotiGG18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1806-01059,
  author       = {Preethi Lahoti and
                  Gerhard Weikum and
                  Krishna P. Gummadi},
  title        = {iFair: Learning Individually Fair Data Representations for Algorithmic
                  Decision Making},
  journal      = {CoRR},
  volume       = {abs/1806.01059},
  year         = {2018},
  url          = {http://arxiv.org/abs/1806.01059},
  eprinttype    = {arXiv},
  eprint       = {1806.01059},
  timestamp    = {Mon, 13 Aug 2018 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-1806-01059.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/alenex/LahotiNT17,
  author       = {Preethi Lahoti and
                  Patrick K. Nicholson and
                  Bilyana Taneva},
  editor       = {S{\'{a}}ndor P. Fekete and
                  Vijaya Ramachandran},
  title        = {Efficient Set Intersection Counting Algorithm for Text Similarity
                  Measures},
  booktitle    = {Proceedings of the Ninteenth Workshop on Algorithm Engineering and
                  Experiments, {ALENEX} 2017, Barcelona, Spain, Hotel Porta Fira, January
                  17-18, 2017},
  pages        = {146--158},
  publisher    = {{SIAM}},
  year         = {2017},
  url          = {https://doi.org/10.1137/1.9781611974768.12},
  doi          = {10.1137/1.9781611974768.12},
  timestamp    = {Sat, 19 Oct 2019 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/alenex/LahotiNT17.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/asunam/LahotiMG17,
  author       = {Preethi Lahoti and
                  Gianmarco De Francisci Morales and
                  Aristides Gionis},
  editor       = {Jana Diesner and
                  Elena Ferrari and
                  Guandong Xu},
  title        = {Finding topical experts in Twitter via query-dependent personalized
                  PageRank},
  booktitle    = {Proceedings of the 2017 {IEEE/ACM} International Conference on Advances
                  in Social Networks Analysis and Mining 2017, Sydney, Australia, July
                  31 - August 03, 2017},
  pages        = {155--162},
  publisher    = {{ACM}},
  year         = {2017},
  url          = {https://doi.org/10.1145/3110025.3110044},
  doi          = {10.1145/3110025.3110044},
  timestamp    = {Sun, 02 Jun 2019 21:15:55 +0200},
  biburl       = {https://dblp.org/rec/conf/asunam/LahotiMG17.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1711-10251,
  author       = {Preethi Lahoti and
                  Kiran Garimella and
                  Aristides Gionis},
  title        = {Joint Non-negative Matrix Factorization for Learning Ideological Leaning
                  on Twitter},
  journal      = {CoRR},
  volume       = {abs/1711.10251},
  year         = {2017},
  url          = {http://arxiv.org/abs/1711.10251},
  eprinttype    = {arXiv},
  eprint       = {1711.10251},
  timestamp    = {Mon, 13 Aug 2018 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-1711-10251.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
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