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Improving Graph-Based Text Representations with Character and Word Level N-grams


Oct 12, 2022
Wenzhe Li, Nikolaos Aletras


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Latent-Variable Advantage-Weighted Policy Optimization for Offline RL


Mar 16, 2022
Xi Chen, Ali Ghadirzadeh, Tianhe Yu, Yuan Gao, Jianhao Wang, Wenzhe Li, Bin Liang, Chelsea Finn, Chongjie Zhang


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Rethinking Goal-conditioned Supervised Learning and Its Connection to Offline RL


Feb 14, 2022
Rui Yang, Yiming Lu, Wenzhe Li, Hao Sun, Meng Fang, Yali Du, Xiu Li, Lei Han, Chongjie Zhang

* Accepted by International Conference on Learning Representations (ICLR) 2022 

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Estimating High Order Gradients of the Data Distribution by Denoising


Nov 08, 2021
Chenlin Meng, Yang Song, Wenzhe Li, Stefano Ermon

* NeurIPS 2021 

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Offline Reinforcement Learning with Reverse Model-based Imagination


Oct 01, 2021
Jianhao Wang, Wenzhe Li, Haozhe Jiang, Guangxiang Zhu, Siyuan Li, Chongjie Zhang


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Tractable Computation of Expected Kernels by Circuits


Feb 21, 2021
Wenzhe Li, Zhe Zeng, Antonio Vergari, Guy Van den Broeck


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Unifying Local and Global Change Detection in Dynamic Networks


Oct 09, 2017
Wenzhe Li, Dong Guo, Greg Ver Steeg, Aram Galstyan


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Scalable MCMC for Mixed Membership Stochastic Blockmodels


Oct 22, 2015
Wenzhe Li, Sungjin Ahn, Max Welling

* 9 pages, 18 figures 

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