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Jessica Hoffmann
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Journal Articles
- 2019
- [j2]Jessica Hoffmann, Constantine Caramanis:
Learning Graphs from Noisy Epidemic Cascades. Proc. ACM Meas. Anal. Comput. Syst. 3(2): 40:1-40:34 (2019) - 2018
- [j1]Jessica Hoffmann, Constantine Caramanis:
The Cost of Uncertainty in Curing Epidemics. Proc. ACM Meas. Anal. Comput. Syst. 2(2): 31:1-31:33 (2018)
Conference and Workshop Papers
- 2024
- [c8]Tyler A. Chang, Katrin Tomanek, Jessica Hoffmann, Nithum Thain, Erin MacMurray van Liemt, Kathleen S. Meier-Hellstern, Lucas Dixon:
Detecting Hallucination and Coverage Errors in Retrieval Augmented Generation for Controversial Topics. LREC/COLING 2024: 4729-4743 - 2023
- [c7]Maximilian Mozes, Jessica Hoffmann, Katrin Tomanek, Muhamed Kouate, Nithum Thain, Ann Yuan, Tolga Bolukbasi, Lucas Dixon:
Towards Agile Text Classifiers for Everyone. EMNLP (Findings) 2023: 400-414 - 2021
- [c6]Ajil Jalal, Sushrut Karmalkar, Jessica Hoffmann, Alex Dimakis, Eric Price:
Fairness for Image Generation with Uncertain Sensitive Attributes. ICML 2021: 4721-4732 - 2020
- [c5]Jessica Hoffmann, Soumya Basu, Surbhi Goel, Constantine Caramanis:
Learning Mixtures of Graphs from Epidemic Cascades. ICML 2020: 4342-4352 - [c4]Moein Khajehnejad, Ahmad Asgharian Rezaei, Mahmoudreza Babaei, Jessica Hoffmann, Mahdi Jalili, Adrian Weller:
Adversarial Graph Embeddings for Fair Influence Maximization over Social Networks. IJCAI 2020: 4306-4312 - 2019
- [c3]Ashish Katiyar, Jessica Hoffmann, Constantine Caramanis:
Robust Estimation of Tree Structured Gaussian Graphical Models. ICML 2019: 3292-3300 - [c2]Jessica H. Hoffmann, Constantine Caramanis
:
Learning Graphs from Noisy Epidemic Cascades. SIGMETRICS (Abstracts) 2019: 3-4 - 2018
- [c1]Jessica Hoffmann, Constantine Caramanis
:
The Cost of Uncertainty in Curing Epidemics. SIGMETRICS (Abstracts) 2018: 11-13
Informal and Other Publications
- 2024
- [i11]Tianlin Liu, Shangmin Guo, Leonardo Bianco, Daniele Calandriello, Quentin Berthet, Felipe Llinares, Jessica Hoffmann, Lucas Dixon, Michal Valko, Mathieu Blondel:
Decoding-time Realignment of Language Models. CoRR abs/2402.02992 (2024) - [i10]Tyler A. Chang, Katrin Tomanek, Jessica Hoffmann, Nithum Thain, Erin Van Liemt, Kathleen S. Meier-Hellstern, Lucas Dixon:
Detecting Hallucination and Coverage Errors in Retrieval Augmented Generation for Controversial Topics. CoRR abs/2403.08904 (2024) - [i9]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:
PERL: Parameter Efficient Reinforcement Learning from Human Feedback. CoRR abs/2403.10704 (2024) - 2023
- [i8]Maximilian Mozes, Jessica Hoffmann, Katrin Tomanek, Muhamed Kouate, Nithum Thain, Ann Yuan, Tolga Bolukbasi, Lucas Dixon:
Towards Agile Text Classifiers for Everyone. CoRR abs/2302.06541 (2023) - 2021
- [i7]Ajil Jalal, Sushrut Karmalkar, Jessica Hoffmann, Alexandros G. Dimakis, Eric Price:
Fairness for Image Generation with Uncertain Sensitive Attributes. CoRR abs/2106.12182 (2021) - 2020
- [i6]Moein Khajehnejad
, Ahmad Asgharian Rezaei, Mahmoudreza Babaei, Jessica Hoffmann, Mahdi Jalili, Adrian Weller:
Adversarial Graph Embeddings for Fair Influence Maximization over Social Networks. CoRR abs/2005.04074 (2020) - [i5]Jessica Hoffmann, Matt Jordan, Constantine Caramanis:
Quarantines as a Targeted Immunization Strategy. CoRR abs/2008.08262 (2020) - 2019
- [i4]Ashish Katiyar, Jessica Hoffmann, Constantine Caramanis:
Robust estimation of tree structured Gaussian Graphical Model. CoRR abs/1901.08770 (2019) - [i3]Jessica Hoffmann, Constantine Caramanis:
Learning Graphs from Noisy Epidemic Cascades. CoRR abs/1903.02650 (2019) - [i2]Jessica Hoffmann, Soumya Basu, Surbhi Goel, Constantine Caramanis:
Disentangling Mixtures of Epidemics on Graphs. CoRR abs/1906.06057 (2019) - 2017
- [i1]Jessica Hoffmann, Constantine Caramanis:
The Cost of Uncertainty in Curing Epidemics. CoRR abs/1711.00167 (2017)
Coauthor Index
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