publication.jemdoc

# jemdoc: menu{MENU}{publications.html}
= Research

== Publications ([https://scholar.google.com/citations?user=0M171lEAAAAJ&hl=en Google Scholar])

: {Generalization Bounds of Nonconvex-(Strongly)-Concave Stochastic Minimax Optimization} 
*Siqi Zhang\**, Yifan Hu\*, Liang Zhang, Niao He. \n
/International Conference on Artificial Intelligence and Statistics (AISTATS) 2024/ 
[https://arxiv.org/abs/2205.14278 ~\[arXiv\]] [https://opt-ml.org/papers/2022/paper70.pdf ~\[Workshop\]]

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: {Communication-Efficient Gradient Descent-Accent Methods for Distributed Variational Inequalities: Unified Analysis and Local Updates}
*Siqi Zhang\**, Sayantan Choudhury\*, Sebastian U Stich, Nicolas Loizou. \n
/International Conference on Learning Representations (ICLR) 2024/
[https://arxiv.org/abs/2306.05100 ~\[arXiv\]] [https://opt-ml.org/papers/2022/paper84.pdf ~\[Workshop\]]

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: {The Complexity of Nonconvex-Strongly-Concave Minimax Optimization} 
*Siqi Zhang\**, Junchi Yang\*, Cristobal Guzman, Negar Kiyavash and Niao He. \n
/Uncertainty in Artificial Intelligence (UAI) 2021/ 
[https://arxiv.org/abs/2103.15888 ~\[arXiv\]] [https://proceedings.mlr.press/v161/zhang21c.html ~\[UAI\]]

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: {Biased Stochastic First-Order Methods for Conditional Stochastic Optimization and Applications in Meta Learning} 
Yifan Hu\*, *Siqi Zhang\**, Xin Chen, Niao He. \n
/Neural Information Processing Systems (NeurIPS) 2020/ 
[https://arxiv.org/abs/2002.10790 ~\[arXiv\]] [https://proceedings.neurips.cc/paper/2020/hash/1cdf14d1e3699d61d237cf76ce1c2dca-Abstract.html ~\[NeurIPS\]]

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: {A Catalyst Framework for Minimax Optimization}
Junchi Yang, *Siqi Zhang*, Negar Kiyavash, Niao He. \n
/Neural Information Processing Systems (NeurIPS) 2020/ 
[https://proceedings.neurips.cc/paper/2020/hash/3db54f5573cd617a0112d35dd1e6b1ef-Abstract.html ~\[NeurIPS\]]


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: {**(\* denotes equal contributions)**}

== Preprints

: {First-Order Optimization Inspired from Finite-Time Convergent Flows} 
*Siqi Zhang*, Mouhacine Benosman, Orlando Romero, Anoop Cherian. 2021 
[https://arxiv.org/abs/2010.02990 ~\[arXiv\]]

: {On the Convergence Rate of Stochastic Mirror Descent for Nonsmooth Nonconvex Optimization} 
*Siqi Zhang*, Niao He. 2018 
[https://arxiv.org/abs/1806.04781 ~\[arXiv\]]

== Selected Talks
:{/Generalization in Nonconvex Minimax Optimization: A Comprehensive Study/}
INFORMS Optimization Society Conference, Houston, USA, 2024.03
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CAMDA Conference, College Station, USA, 2023.05

:{/Communication-Efficient Federated Learning Algorithms for Variational Inequalities/}
SIAM Conference on Optimization (OP23), Seattle, USA, 2023.06
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Annual Conference on Information Sciences and Systems (CISS 2023), Baltimore, USA, 2023.03

: {/Nonconvex Minimax Optimization: Fundamental Limits, Efficient Algorithms and Generalization/}
INFORMS Annual Meeting, Indianapolis, USA, 2022.10
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MINDS \& CIS Seminar, JHU, Baltimore, USA, 2022.10
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International Conference on Continuous Optimization (ICCOPT), Bethlehem, USA, 2022.07

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