Preethi Lahoti

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 24

Top Topics

Set Intersection

Data Representations

Information Retrieval

Top Venues

Proc. VLDB Endow.

Publications

Yash Kumar Lal, Preethi Lahoti, Aradhana Sinha, Yao Qin, Ananth Balashankar
Automated Adversarial Discovery for Safety Classifiers. CoRR (2024)
James Atwood, Preethi Lahoti, Ananth Balashankar, Flavien Prost, Ahmad Beirami
Inducing Group Fairness in LLM-Based Decisions. CoRR (2024)
Preethi Lahoti, Nicholas Blumm, Xiao Ma, Raghavendra Kotikalapudi, Sahitya Potluri, Qijun Tan, Hansa Srinivasan, Ben Packer, Ahmad Beirami, Alex Beutel, Jilin Chen
Improving Diversity of Demographic Representation in Large Language Models via Collective-Critiques and Self-Voting. EMNLP (2023)
Bhaktipriya Radharapu, Kevin Robinson, Lora Aroyo, Preethi Lahoti
AART: AI-Assisted Red-Teaming with Diverse Data Generation for New LLM-powered Applications. EMNLP (Industry Track) (2023)
Bhaktipriya Radharapu, Kevin Robinson, Lora Aroyo, Preethi Lahoti
AART: AI-Assisted Red-Teaming with Diverse Data Generation for New LLM-powered Applications. CoRR (2023)
Alexandru Tifrea, Preethi Lahoti, Ben Packer, Yoni Halpern, Ahmad Beirami, Flavien Prost
FRAPPÉ: A Post-Processing Framework for Group Fairness Regularization. CoRR (2023)
Preethi Lahoti, P. Krishna Gummadi, Gerhard Weikum
Responsible model deployment via model-agnostic uncertainty learning. Mach. Learn. 112 (3) (2023)
Preethi Lahoti, Nicholas Blumm, Xiao Ma, Raghavendra Kotikalapudi, Sahitya Potluri, Qijun Tan, Hansa Srinivasan, Ben Packer, Ahmad Beirami, Alex Beutel, Jilin Chen
Improving Diversity of Demographic Representation in Large Language Models via Collective-Critiques and Self-Voting. CoRR (2023)
Preethi Lahoti, Krishna P. Gummadi, Gerhard Weikum
Detecting and Mitigating Test-time Failure Risks via Model-agnostic Uncertainty Learning. CoRR (2021)
Preethi Lahoti, Krishna P. Gummadi, Gerhard Weikum
Detecting and Mitigating Test-time Failure Risks via Model-agnostic Uncertainty Learning. ICDM (2021)
Junaid Ali, Preethi Lahoti, Krishna P. Gummadi
Accounting for Model Uncertainty in Algorithmic Discrimination. AIES (2021)
Junaid Ali, Preethi Lahoti, Krishna P. Gummadi
Accounting for Model Uncertainty in Algorithmic Discrimination. CoRR (2021)
Preethi Lahoti, Alex Beutel, Jilin Chen, Kang Lee, Flavien Prost, Nithum Thain, Xuezhi Wang, Ed Chi
Fairness without Demographics through Adversarially Reweighted Learning. NeurIPS (2020)
Preethi Lahoti, Alex Beutel, Jilin Chen, Kang Lee, Flavien Prost, Nithum Thain, Xuezhi Wang, Ed H. Chi
Fairness without Demographics through Adversarially Reweighted Learning. CoRR (2020)
Preethi Lahoti, Krishna P. Gummadi, Gerhard Weikum
iFair: Learning Individually Fair Data Representations for Algorithmic Decision Making. ICDE (2019)
Hanchen Wang, Nina Grgic-Hlaca, Preethi Lahoti, Krishna P. Gummadi, Adrian Weller
An Empirical Study on Learning Fairness Metrics for COMPAS Data with Human Supervision. CoRR (2019)
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
FACTS-IR: fairness, accountability, confidentiality, transparency, and safety in information retrieval. SIGIR Forum 53 (2) (2019)
Preethi Lahoti, Krishna P. Gummadi, Gerhard Weikum
Operationalizing Individual Fairness with Pairwise Fair Representations. CoRR (2019)
Preethi Lahoti, Krishna P. Gummadi, Gerhard Weikum
Operationalizing Individual Fairness with Pairwise Fair Representations. Proc. VLDB Endow. 13 (4) (2019)
Preethi Lahoti, Kiran Garimella, Aristides Gionis
Joint Non-negative Matrix Factorization for Learning Ideological Leaning on Twitter. WSDM (2018)
Preethi Lahoti, Gerhard Weikum, Krishna P. Gummadi
iFair: Learning Individually Fair Data Representations for Algorithmic Decision Making. CoRR (2018)
Preethi Lahoti, Patrick K. Nicholson, Bilyana Taneva
Efficient Set Intersection Counting Algorithm for Text Similarity Measures. ALENEX (2017)
Preethi Lahoti, Gianmarco De Francisci Morales, Aristides Gionis
Finding topical experts in Twitter via query-dependent personalized PageRank. ASONAM (2017)
Preethi Lahoti, Kiran Garimella, Aristides Gionis
Joint Non-negative Matrix Factorization for Learning Ideological Leaning on Twitter. CoRR (2017)