The Cost of Uncertainty in Curing Epidemics. - Jessica Hoffmann; Constantine Caramanis (Proc. ACM Meas. Anal. Comput. Syst., 2018)

Robust Estimation of Tree Structured Gaussian Graphical Models. - Ashish Katiyar; Jessica Hoffmann; Constantine Caramanis (ICML, 2019)

Robust estimation of tree structured Gaussian Graphical Model. - Ashish Katiyar; Jessica Hoffmann; Constantine Caramanis (CoRR, 2019)

Disentangling Mixtures of Epidemics on Graphs. - Jessica Hoffmann; Soumya Basu 001; Surbhi Goel; Constantine Caramanis (CoRR, 2019)

Learning Graphs from Noisy Epidemic Cascades. - Jessica Hoffmann; Constantine Caramanis (Proc. ACM Meas. Anal. Comput. Syst., 2019)

Learning Mixtures of Graphs from Epidemic Cascades. - Jessica Hoffmann; Soumya Basu 001; Surbhi Goel; Constantine Caramanis (ICML, 2020)

Adversarial Graph Embeddings for Fair Influence Maximization over Social Networks. - Moein Khajehnejad; Ahmad Asgharian Rezaei; Mahmoudreza Babaei; Jessica Hoffmann; Mahdi Jalili; Adrian Weller (IJCAI, 2020)

Quarantines as a Targeted Immunization Strategy. - Jessica Hoffmann; Matt Jordan; Constantine Caramanis (CoRR, 2020)

Fairness for Image Generation with Uncertain Sensitive Attributes. - Ajil Jalal; Sushrut Karmalkar; Jessica Hoffmann; Alex Dimakis; Eric Price 001 (ICML, 2021)

Towards Agile Text Classifiers for Everyone. - Maximilian Mozes; Jessica Hoffmann; Katrin Tomanek; Muhamed Kouate; Nithum Thain; Ann Yuan; Tolga Bolukbasi; Lucas Dixon (EMNLP (Findings), 2023)

Detecting Hallucination and Coverage Errors in Retrieval Augmented Generation for Controversial Topics. - Tyler A. Chang; Katrin Tomanek; Jessica Hoffmann; Nithum Thain; Erin MacMurray van Liemt; Kathleen S. Meier-Hellstern; Lucas Dixon (LREC/COLING, 2024)

Decoding-time Realignment of Language Models. - Tianlin Liu; Shangmin Guo; Leonardo Bianco; Daniele Calandriello; Quentin Berthet; Felipe Llinares-López; Jessica Hoffmann; Lucas Dixon; Michal Valko; Mathieu Blondel (ICML, 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; et al. (CoRR, 2024)

Improving Neutral Point of View Text Generation through Parameter-Efficient Reinforcement Learning and a Small-Scale High-Quality Dataset. - Jessica Hoffmann; Christiane Ahlheim; Zac Yu; Aria Walfrand; Jarvis Jin; Marie Tano; Ahmad Beirami; Erin van Liemt; Nithum Thain; Hakim Sidahmed; Lucas Dixon (CoRR, 2025)

On Mitigating Affinity Bias through Bandits with Evolving Biased Feedback. - Matthew Faw; Constantine Caramanis; Jessica Hoffmann (CoRR, 2025)