EPFL papers @ ICLR 2022

1. Byzantine-Robust Learning on Heterogeneous Datasets via Bucketing
Sai Praneeth Karimireddy, Lie He, Martin Jaggi

2. Towards Model Agnostic Federated Learning Using Knowledge Distillation
Andrei Afonin, Sai Praneeth Karimireddy

3. A Johnson-Lindenstrauss Framework for Randomly Initialized CNNs
Ido Nachum, Jan Hazla, Michael Gastpar, Anatoly Khina

4. Fast Model Editing at Scale
Eric Mitchell, Charles Lin, Antoine Bosselut, Chelsea Finn, Christopher D Manning

5. GreaseLM: Graph REASoning Enhanced Language Models
Xikun Zhang, Antoine Bosselut, Michihiro Yasunaga, Hongyu Ren, Percy Liang, Christopher D Manning, Jure Leskovec

6. Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems
Thomas Pethick, Puya Latafat, Panos Patrinos, Olivier Fercoq, Volkan Cevher

7. The Spectral Bias of Polynomial Neural Networks
Moulik Choraria, Leello Tadesse Dadi, Grigorios Chrysos, Julien Mairal, Volkan Cevher

8. Controlling the Complexity and Lipschitz Constant improves Polynomial Nets
Zhenyu Zhu, Fabian Latorre, Grigorios Chrysos, Volkan Cevher

9. High Probability Bounds for a Class of Nonconvex Algorithms with AdaGrad Stepsize
Ali Kavis, Kfir Yehuda Levy, Volkan Cevher