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Tight Analysis of Extra-gradient and Optimistic Gradient Methods For Nonconvex Minimax Problems


Oct 17, 2022
Pouria Mahdavinia, Yuyang Deng, Haochuan Li, Mehrdad Mahdavi

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Learning Distributionally Robust Models at Scale via Composite Optimization


Mar 17, 2022
Farzin Haddadpour, Mohammad Mahdi Kamani, Mehrdad Mahdavi, Amin Karbasi

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* Accepted to ICLR2022 as a conference paper. International Conference on Learning Representations (2022) 

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Learn Locally, Correct Globally: A Distributed Algorithm for Training Graph Neural Networks


Dec 07, 2021
Morteza Ramezani, Weilin Cong, Mehrdad Mahdavi, Mahmut T. Kandemir, Anand Sivasubramaniam

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Dynamic Graph Representation Learning via Graph Transformer Networks


Nov 19, 2021
Weilin Cong, Yanhong Wu, Yuandong Tian, Mengting Gu, Yinglong Xia, Mehrdad Mahdavi, Chun-cheng Jason Chen

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On Provable Benefits of Depth in Training Graph Convolutional Networks


Oct 28, 2021
Weilin Cong, Morteza Ramezani, Mehrdad Mahdavi

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Meta-learning with an Adaptive Task Scheduler


Oct 26, 2021
Huaxiu Yao, Yu Wang, Ying Wei, Peilin Zhao, Mehrdad Mahdavi, Defu Lian, Chelsea Finn

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* Accepted by NeurIPS 2021 

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Local SGD Optimizes Overparameterized Neural Networks in Polynomial Time


Jul 22, 2021
Yuyang Deng, Mehrdad Mahdavi

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Pareto Efficient Fairness in Supervised Learning: From Extraction to Tracing


Apr 04, 2021
Mohammad Mahdi Kamani, Rana Forsati, James Z. Wang, Mehrdad Mahdavi

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On the Importance of Sampling in Learning Graph Convolutional Networks


Mar 03, 2021
Weilin Cong, Morteza Ramezani, Mehrdad Mahdavi

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