Preethi Lahoti

Orcid: 0000-0003-1923-5101

According to our database1, Preethi Lahoti authored at least 18 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
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Links

On csauthors.net:

Bibliography

2024
Automated Adversarial Discovery for Safety Classifiers.
CoRR, 2024

Inducing Group Fairness in LLM-Based Decisions.
CoRR, 2024

FRAPPÉ: A Group Fairness Framework for Post-Processing Everything.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Responsible model deployment via model-agnostic uncertainty learning.
Mach. Learn., March, 2023

FRAPPÉ: A Post-Processing Framework for Group Fairness Regularization.
CoRR, 2023

AART: AI-Assisted Red-Teaming with Diverse Data Generation for New LLM-powered Applications.
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.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2021
Operationalizing fairness for responsible machine learning.
PhD thesis, 2021

Detecting and Mitigating Test-time Failure Risks via Model-agnostic Uncertainty Learning.
Proceedings of the IEEE International Conference on Data Mining, 2021

Accounting for Model Uncertainty in Algorithmic Discrimination.
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020
Fairness without Demographics through Adversarially Reweighted Learning.
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.
SIGIR Forum, 2019

Operationalizing Individual Fairness with Pairwise Fair Representations.
Proc. VLDB Endow., 2019

An Empirical Study on Learning Fairness Metrics for COMPAS Data with Human Supervision.
CoRR, 2019

iFair: Learning Individually Fair Data Representations for Algorithmic Decision Making.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2018
Joint Non-negative Matrix Factorization for Learning Ideological Leaning on Twitter.
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.
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.
Proceedings of the Ninteenth Workshop on Algorithm Engineering and Experiments, 2017


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