Preethi Lahoti

According to our database, Preethi Lahoti authored at least 15 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Responsible model deployment via model-agnostic uncertainty learning.

Preethi Lahoti, P. Krishna Gummadi, Gerhard Weikum

Mach. Learn., March, 2023

FRAPPÉ: A Post-Processing Framework for Group Fairness Regularization.

Alexandru Tifrea, Preethi Lahoti, Ben Packer, Yoni Halpern, Ahmad Beirami, Flavien Prost

CoRR, 2023

AART: AI-Assisted Red-Teaming with Diverse Data Generation for New LLM-powered Applications.

Bhaktipriya Radharapu, Kevin Robinson, Lora Aroyo, Preethi Lahoti

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

Improving Diversity of Demographic Representation in Large Language Models via Collective-Critiques and Self-Voting.

Preethi Lahoti, Nicholas Blumm, Xiao Ma, Raghavendra Kotikalapudi, Sahitya Potluri, Qijun Tan, Hansa Srinivasan, Ben Packer, Ahmad Beirami, Alex Beutel, Jilin Chen

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2021

Operationalizing fairness for responsible machine learning.

Preethi Lahoti

PhD thesis, 2021

Detecting and Mitigating Test-time Failure Risks via Model-agnostic Uncertainty Learning.

Preethi Lahoti, Krishna P. Gummadi, Gerhard Weikum

Proceedings of the IEEE International Conference on Data Mining, 2021

Accounting for Model Uncertainty in Algorithmic Discrimination.

Junaid Ali, Preethi Lahoti, Krishna P. Gummadi

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020

Fairness without Demographics through Adversarially Reweighted Learning.

Preethi Lahoti, Alex Beutel, Jilin Chen, Kang Lee, Flavien Prost, Nithum Thain, Xuezhi Wang, Ed H. Chi

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

FACTS-IR: fairness, accountability, confidentiality, transparency, and safety in information retrieval.

Alexandra Olteanu, Jean Garcia-Gathright, Maarten de Rijke, Michael D. Ekstrand, Adam Roegiest, Aldo Lipani, Alex Beutel, Ana Lucic, Ana-Andreea Stoica, Anubrata Das, Asia Biega, Bart Voorn, Claudia Hauff, Damiano Spina, David D. Lewis, Douglas W. Oard, Emine Yilmaz, Faegheh Hasibi, Gabriella Kazai, Graham McDonald, Hinda Haned, Iadh Ounis, Ilse van der Linden, Joris Baan, Kamuela N. Lau, Krisztian Balog, Mahmoud F. Sayed, Maria Panteli, Mark Sanderson, Matthew Lease, Preethi Lahoti, Toshihiro Kamishima

SIGIR Forum, 2019

Operationalizing Individual Fairness with Pairwise Fair Representations.

Preethi Lahoti, Krishna P. Gummadi, Gerhard Weikum

Proc. VLDB Endow., 2019

An Empirical Study on Learning Fairness Metrics for COMPAS Data with Human Supervision.

Hanchen Wang, Nina Grgic-Hlaca, Preethi Lahoti, Krishna P. Gummadi, Adrian Weller

CoRR, 2019

iFair: Learning Individually Fair Data Representations for Algorithmic Decision Making.

Preethi Lahoti, Krishna P. Gummadi, Gerhard Weikum

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2018

Joint Non-negative Matrix Factorization for Learning Ideological Leaning on Twitter.

Preethi Lahoti, Kiran Garimella, Aristides Gionis

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

2017

Finding topical experts in Twitter via query-dependent personalized PageRank.

Preethi Lahoti, Gianmarco De Francisci Morales, Aristides Gionis

Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

Efficient Set Intersection Counting Algorithm for Text Similarity Measures.

Preethi Lahoti, Patrick K. Nicholson, Bilyana Taneva

Proceedings of the Ninteenth Workshop on Algorithm Engineering and Experiments, 2017