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Learning Prototype-oriented Set Representations for Meta-Learning


Oct 18, 2021
Dandan Guo, Long Tian, Minghe Zhang, Mingyuan Zhou, Hongyuan Zha


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Edge Rewiring Goes Neural: Boosting Network Resilience via Policy Gradient


Oct 18, 2021
Shanchao Yang, Kaili Ma, Baoxiang Wang, Hongyuan Zha


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Low-rank Matrix Recovery With Unknown Correspondence


Oct 18, 2021
Zhiwei Tang, Tsung-Hui Chang, Xiaojing Ye, Hongyuan Zha


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Sqrt(d) Dimension Dependence of Langevin Monte Carlo


Sep 23, 2021
Ruilin Li, Hongyuan Zha, Molei Tao

* v1 submitted on May 28, 2021 (NeurIPS 2021 deadline); v2 added an important reference and discussions 

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Self-Training with Differentiable Teacher


Sep 15, 2021
Simiao Zuo, Yue Yu, Chen Liang, Haoming Jiang, Siawpeng Er, Chao Zhang, Tuo Zhao, Hongyuan Zha


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Mean-Square Analysis with An Application to Optimal Dimension Dependence of Langevin Monte Carlo


Sep 08, 2021
Ruilin Li, Hongyuan Zha, Molei Tao

* Submitted to NeurIPS 2021 on May 28, 2021 (the submission deadline) 

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Influence Estimation and Maximization via Neural Mean-Field Dynamics


Jun 03, 2021
Shushan He, Hongyuan Zha, Xiaojing Ye

* 26 pages, 6 figures. arXiv admin note: text overlap with arXiv:2006.09449 

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Permutation Invariant Policy Optimization for Mean-Field Multi-Agent Reinforcement Learning: A Principled Approach


May 18, 2021
Yan Li, Lingxiao Wang, Jiachen Yang, Ethan Wang, Zhaoran Wang, Tuo Zhao, Hongyuan Zha


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Theoretical Study of Random Noise Defense against Query-Based Black-Box Attacks


Apr 23, 2021
Zeyu Qin, Yanbo Fan, Hongyuan Zha, Baoyuan Wu


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Graph-Based Tri-Attention Network for Answer Ranking in CQA


Mar 20, 2021
Wei Zhang, Zeyuan Chen, Chao Dong, Wen Wang, Hongyuan Zha, Jianyong Wang

* 9 pages (published in AAAI 2021) 

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Mean Field Game GAN


Mar 14, 2021
Shaojun Ma, Haomin Zhou, Hongyuan Zha


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Reinforcement Learning for Adaptive Mesh Refinement


Mar 01, 2021
Jiachen Yang, Tarik Dzanic, Brenden Petersen, Jun Kudo, Ketan Mittal, Vladimir Tomov, Jean-Sylvain Camier, Tuo Zhao, Hongyuan Zha, Tzanio Kolev, Robert Anderson, Daniel Faissol

* 14 pages, 13 figures 

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Learning High Dimensional Wasserstein Geodesics


Feb 22, 2021
Shu Liu, Shaojun Ma, Yongxin Chen, Hongyuan Zha, Haomin Zhou


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Dealing with Non-Stationarity in Multi-Agent Reinforcement Learning via Trust Region Decomposition


Feb 21, 2021
Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, Hongyuan Zha

* 32 pages, 23 figures 

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Structured Diversification Emergence via Reinforced Organization Control and Hierarchical Consensus Learning


Feb 09, 2021
Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, Yun Hua, Hongyuan Zha

* AAMAS 2021 camera-ready 

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Hawkes Processes on Graphons


Feb 04, 2021
Hongteng Xu, Dixin Luo, Hongyuan Zha


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Generalize a Small Pre-trained Model to Arbitrarily Large TSP Instances


Dec 19, 2020
Zhang-Hua Fu, Kai-Bin Qiu, Hongyuan Zha

* AAAI2021 

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Learning Graphons via Structured Gromov-Wasserstein Barycenters


Dec 17, 2020
Hongteng Xu, Dixin Luo, Lawrence Carin, Hongyuan Zha

* AAAI 2021 

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A Hypergradient Approach to Robust Regression without Correspondence


Nov 30, 2020
Yujia Xie, Yixiu Mao, Simiao Zuo, Hongteng Xu, Xiaojing Ye, Tuo Zhao, Hongyuan Zha


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Reliable Off-policy Evaluation for Reinforcement Learning


Nov 08, 2020
Jie Wang, Rui Gao, Hongyuan Zha

* 36 pages, 4 figures 

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Inductive Relational Matrix Completion


Jul 09, 2020
Qitian Wu, Hengrui Zhang, Hongyuan Zha


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GraphOpt: Learning Optimization Models of Graph Formation


Jul 07, 2020
Rakshit Trivedi, Jiachen Yang, Hongyuan Zha


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Structural Landmarking and Interaction Modelling: on Resolution Dilemmas in Graph Classification


Jun 29, 2020
Kai Zhang, Yaokang Zhu, Jun Wang, Jie Zhang, Hongyuan Zha


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Hessian-Free High-Resolution Nesterov Acceleration for Sampling


Jun 22, 2020
Ruilin Li, Hongyuan Zha, Molei Tao


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Network Diffusions via Neural Mean-Field Dynamics


Jun 16, 2020
Shushan He, Hongyuan Zha, Xiaojing Ye

* Submitted to NIPS2020, 20 pages, 5 figures 

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Hessian-Free High-Resolution Nesterov Accelerationfor Sampling


Jun 16, 2020
Ruilin Li, Hongyuan Zha, Molei Tao


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Learning to Incentivize Other Learning Agents


Jun 10, 2020
Jiachen Yang, Ang Li, Mehrdad Farajtabar, Peter Sunehag, Edward Hughes, Hongyuan Zha

* 19 pages, 11 figures 

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