Conference Publications
- Proportionally Fair Online Allocation of Public Goods with Predictions IJCAI, 2023
- Fair Algorithms for Multi-Agent Multi-Armed Bandits. NeurIPS, 2021
- The Effect of Strategic Noise on Linear Regression AAMAS 2020
- Designing Fairly Fair Classifiers via Economic Fairness Notions WWW/WebConf 2020
- The surprising power of hiding information in facility location AAAI 2020
Working Papers
- Multi-Sender Persuasion - A Computational Perspective working paper
- Computing Voting Rules with Elicited Incomplete Votes working paper
- A Persuasive Approach to Combating Misinformation working paper
- Equilibrium and Learning in Data Markets with Externality working paper
Workshops
- Analyzing Text Specific vs Blackbox Fairness Algorithms in Multimodal Clinical NLP paper, 2019
- John Chen, Ian Berlot-Attwell, Safwan Hossain, Xindi Wang, Frank Rudzicz
- 3rd Clinical Natural Language Processing Workshop at EMNLP
- Won best short paper!!!
- Generative Adversarial Networks for text using word2vec intermediaries paper, 2019
- Akshay Budhkar, Krishnapriya Vishnubhotla, Safwan Hossain, Frank Rudzicz
- ACL 2019 Workshop on Representation Learning
- JacNet: Learning Functions with Structured Jacobians paper, 2019
- Safwan Hossain, Jonathan Lorraine
- ICML 2019 Workshop on Invertible Neural Nets and Normalizing Flows
Manuscripts
- DeepConsensus: Using Consensus of Features From Multiple Layers to Attain Robust Image Classification paper, 2018
- ChainGAN: A Sequential Approach to GANs paper, 2018
