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Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning


Aug 12, 2022
Zhendong Wang, Jonathan J Hunt, Mingyuan Zhou


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Learning to Re-weight Examples with Optimal Transport for Imbalanced Classification


Aug 05, 2022
Dandan Guo, Zhuo Li, Meixi Zheng, He Zhao, Mingyuan Zhou, Hongyuan Zha


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Probabilistic Conformal Prediction Using Conditional Random Samples


Jun 20, 2022
Zhendong Wang, Ruijiang Gao, Mingzhang Yin, Mingyuan Zhou, David M. Blei


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CARD: Classification and Regression Diffusion Models


Jun 15, 2022
Xizewen Han, Huangjie Zheng, Mingyuan Zhou


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Regularizing a Model-based Policy Stationary Distribution to Stabilize Offline Reinforcement Learning


Jun 14, 2022
Shentao Yang, Yihao Feng, Shujian Zhang, Mingyuan Zhou

* International Conference on Machine Learning (ICML) 2022 

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Diffusion-GAN: Training GANs with Diffusion


Jun 05, 2022
Zhendong Wang, Huangjie Zheng, Pengcheng He, Weizhu Chen, Mingyuan Zhou


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ALLSH: Active Learning Guided by Local Sensitivity and Hardness


May 10, 2022
Shujian Zhang, Chengyue Gong, Xingchao Liu, Pengcheng He, Weizhu Chen, Mingyuan Zhou

* NAACL 2022 (finding); Our code is publicly available at https://github.com/szhang42/allsh 

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Representing Mixtures of Word Embeddings with Mixtures of Topic Embeddings


Mar 15, 2022
Dongsheng Wang, Dandan Guo, He Zhao, Huangjie Zheng, Korawat Tanwisuth, Bo Chen, Mingyuan Zhou

* Proceedings of ICLR, 2022 

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A Regularized Implicit Policy for Offline Reinforcement Learning


Feb 19, 2022
Shentao Yang, Zhendong Wang, Huangjie Zheng, Yihao Feng, Mingyuan Zhou


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