Preethi Lahoti

26 papers A* 5A 2B 1C 1Journal 15Unranked 1

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