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Invariant Aggregator for Defending Federated Backdoor Attacks


Oct 04, 2022
Xiaoyang Wang, Dimitrios Dimitriadis, Sanmi Koyejo, Shruti Tople


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The Curse of Low Task Diversity: On the Failure of Transfer Learning to Outperform MAML and Their Empirical Equivalence


Aug 02, 2022
Brando Miranda, Patrick Yu, Yu-Xiong Wang, Sanmi Koyejo

* arXiv admin note: substantial text overlap with arXiv:2112.13121 

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One Policy is Enough: Parallel Exploration with a Single Policy is Minimax Optimal for Reward-Free Reinforcement Learning


May 31, 2022
Pedro Cisneros-Velarde, Boxiang Lyu, Sanmi Koyejo, Mladen Kolar


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A Word is Worth A Thousand Dollars: Adversarial Attack on Tweets Fools Stock Prediction


May 11, 2022
Yong Xie, Dakuo Wang, Pin-Yu Chen, Jinjun Xiong, Sijia Liu, Sanmi Koyejo

* NAACL short paper, github: https://github.com/yonxie/AdvFinTweet 

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Fair Wrapping for Black-box Predictions


Feb 16, 2022
Alexander Soen, Ibrahim Alabdulmohsin, Sanmi Koyejo, Yishay Mansour, Nyalleng Moorosi, Richard Nock, Ke Sun, Lexing Xie


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Does MAML Only Work via Feature Re-use? A Data Centric Perspective


Dec 24, 2021
Brando Miranda, Yu-Xiong Wang, Sanmi Koyejo

* 15 pages, 12 figures 

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The Curse of Zero Task Diversity: On the Failure of Transfer Learning to Outperform MAML and their Empirical Equivalence


Dec 24, 2021
Brando Miranda, Yu-Xiong Wang, Sanmi Koyejo

* 17 pages, 2 figures 

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A Field Guide to Federated Optimization


Jul 14, 2021
Jianyu Wang, Zachary Charles, Zheng Xu, Gauri Joshi, H. Brendan McMahan, Blaise Aguera y Arcas, Maruan Al-Shedivat, Galen Andrew, Salman Avestimehr, Katharine Daly, Deepesh Data, Suhas Diggavi, Hubert Eichner, Advait Gadhikar, Zachary Garrett, Antonious M. Girgis, Filip Hanzely, Andrew Hard, Chaoyang He, Samuel Horvath, Zhouyuan Huo, Alex Ingerman, Martin Jaggi, Tara Javidi, Peter Kairouz, Satyen Kale, Sai Praneeth Karimireddy, Jakub Konecny, Sanmi Koyejo, Tian Li, Luyang Liu, Mehryar Mohri, Hang Qi, Sashank J. Reddi, Peter Richtarik, Karan Singhal, Virginia Smith, Mahdi Soltanolkotabi, Weikang Song, Ananda Theertha Suresh, Sebastian U. Stich, Ameet Talwalkar, Hongyi Wang, Blake Woodworth, Shanshan Wu, Felix X. Yu, Honglin Yuan, Manzil Zaheer, Mi Zhang, Tong Zhang, Chunxiang Zheng, Chen Zhu, Wennan Zhu


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