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Sequence Model Imitation Learning with Unobserved Contexts


Aug 03, 2022
Gokul Swamy, Sanjiban Choudhury, J. Andrew Bagnell, Zhiwei Steven Wu


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On Privacy and Personalization in Cross-Silo Federated Learning


Jun 16, 2022
Ziyu Liu, Shengyuan Hu, Zhiwei Steven Wu, Virginia Smith


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Brownian Noise Reduction: Maximizing Privacy Subject to Accuracy Constraints


Jun 15, 2022
Justin Whitehouse, Zhiwei Steven Wu, Aaditya Ramdas, Ryan Rogers

* 18 pages, 4 figures 

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Private Synthetic Data with Hierarchical Structure


Jun 13, 2022
Terrance Liu, Zhiwei Steven Wu


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Minimax Optimal Online Imitation Learning via Replay Estimation


Jun 02, 2022
Gokul Swamy, Nived Rajaraman, Matthew Peng, Sanjiban Choudhury, J. Andrew Bagnell, Zhiwei Steven Wu, Jiantao Jiao, Kannan Ramchandran


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Incentivizing Combinatorial Bandit Exploration


Jun 01, 2022
Xinyan Hu, Dung Daniel Ngo, Aleksandrs Slivkins, Zhiwei Steven Wu

* 9 pages of main text, 21 pages in total 

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Meta-Learning Adversarial Bandits


May 27, 2022
Maria-Florina Balcan, Keegan Harris, Mikhail Khodak, Zhiwei Steven Wu

* 19 pages 

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Imagining new futures beyond predictive systems in child welfare: A qualitative study with impacted stakeholders


May 18, 2022
Logan Stapleton, Min Hun Lee, Diana Qing, Marya Wright, Alexandra Chouldechova, Kenneth Holstein, Zhiwei Steven Wu, Haiyi Zhu

* 10 pages in main body; 4 pages in appendix; Published in the 2022 ACM Conference on Fairness, Accountability, and Transparency (FAccT'22) 

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Exploring How Machine Learning Practitioners (Try To) Use Fairness Toolkits


May 13, 2022
Wesley Hanwen Deng, Manish Nagireddy, Michelle Seng Ah Lee, Jatinder Singh, Zhiwei Steven Wu, Kenneth Holstein, Haiyi Zhu

* ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT 2022) 

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