Jessica Hoffmann

According to our database, Jessica Hoffmann authored at least 13 papers between 2018 and 2024.

Collaborative distances:

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

2024

PERL: Parameter Efficient Reinforcement Learning from Human Feedback.

Hakim Sidahmed, Samrat Phatale, Alex Hutcheson, Zhuonan Lin, Zhang Chen, Zac Yu, Jarvis Jin, Roman Komarytsia, Christiane Ahlheim, Yonghao Zhu, Simral Chaudhary, Bowen Li, Saravanan Ganesh, Bill Byrne, Jessica Hoffmann, Hassan Mansoor, Wei Li, Abhinav Rastogi, Lucas Dixon

CoRR, 2024

Detecting Hallucination and Coverage Errors in Retrieval Augmented Generation for Controversial Topics.

Tyler A. Chang, Katrin Tomanek, Jessica Hoffmann, Nithum Thain, Erin Van Liemt, Kathleen S. Meier-Hellstern, Lucas Dixon

CoRR, 2024

Decoding-time Realignment of Language Models.

Tianlin Liu, Shangmin Guo, Leonardo Bianco, Daniele Calandriello, Quentin Berthet, Felipe Llinares, Jessica Hoffmann, Lucas Dixon, Michal Valko, Mathieu Blondel

CoRR, 2024

2023

Towards Agile Text Classifiers for Everyone.

Maximilian Mozes, Jessica Hoffmann, Katrin Tomanek, Muhamed Kouate, Nithum Thain, Ann Yuan, Tolga Bolukbasi, Lucas Dixon

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2021

Fairness for Image Generation with Uncertain Sensitive Attributes.

Ajil Jalal, Sushrut Karmalkar, Jessica Hoffmann, Alex Dimakis, Eric Price

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Quarantines as a Targeted Immunization Strategy.

Jessica Hoffmann, Matt Jordan, Constantine Caramanis

CoRR, 2020

Adversarial Graph Embeddings for Fair Influence Maximization over Social Networks.

Moein Khajehnejad, Ahmad Asgharian Rezaei, Mahmoudreza Babaei, Jessica Hoffmann, Mahdi Jalili, Adrian Weller

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Learning Mixtures of Graphs from Epidemic Cascades.

Jessica Hoffmann, Soumya Basu, Surbhi Goel, Constantine Caramanis

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Learning Graphs from Noisy Epidemic Cascades.

Jessica Hoffmann, Constantine Caramanis

Proc. ACM Meas. Anal. Comput. Syst., 2019

Disentangling Mixtures of Epidemics on Graphs.

Jessica Hoffmann, Soumya Basu, Surbhi Goel, Constantine Caramanis

CoRR, 2019

Robust estimation of tree structured Gaussian Graphical Model.

Ashish Katiyar, Jessica Hoffmann, Constantine Caramanis

CoRR, 2019

Robust Estimation of Tree Structured Gaussian Graphical Models.

Ashish Katiyar, Jessica Hoffmann, Constantine Caramanis

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

The Cost of Uncertainty in Curing Epidemics.

Jessica Hoffmann, Constantine Caramanis

Proc. ACM Meas. Anal. Comput. Syst., 2018