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2020 – today
- 2024
[c1]Serina Chang, Frederic Koehler, Zhaonan Qu, Jure Leskovec, Johan Ugander:
Inferring Dynamic Networks from Marginals with Iterative Proportional Fitting. ICML 2024- [i6]Serina Chang, Frederic Koehler, Zhaonan Qu, Jure Leskovec, Johan Ugander:
Inferring Dynamic Networks from Marginals with Iterative Proportional Fitting. CoRR abs/2402.18697 (2024) - 2023
- [j1]Zhaonan Qu, Kaixiang Lin, Zhaojian Li, Jiayu Zhou, Zhengyuan Zhou:
A Unified Linear Speedup Analysis of Federated Averaging and Nesterov FedAvg. J. Artif. Intell. Res. 78: 1143-1200 (2023) - [i5]Zhaonan Qu, Alfred Galichon, Johan Ugander:
On Sinkhorn's Algorithm and Choice Modeling. CoRR abs/2310.00260 (2023) - [i4]Wenzhi Gao, Zhaonan Qu, Madeleine Udell, Yinyu Ye:
Scalable Approximate Optimal Diagonal Preconditioning. CoRR abs/2312.15594 (2023) - 2022
- [i3]Zhaonan Qu, Wenzhi Gao, Oliver Hinder, Yinyu Ye, Zhengyuan Zhou:
Optimal Diagonal Preconditioning: Theory and Practice. CoRR abs/2209.00809 (2022) - 2020
- [i2]Zhaonan Qu, Yinyu Ye, Zhengyuan Zhou:
Diagonal Preconditioning: Theory and Algorithms. CoRR abs/2003.07545 (2020) - [i1]Zhaonan Qu, Kaixiang Lin, Jayant Kalagnanam, Zhaojian Li, Jiayu Zhou, Zhengyuan Zhou:
Federated Learning's Blessing: FedAvg has Linear Speedup. CoRR abs/2007.05690 (2020)
Coauthor Index
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