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Zhitang Chen

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Causal Discovery by Kernel Deviance Measures with Heterogeneous Transforms

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Jan 31, 2024
Tim Tse, Zhitang Chen, Shengyu Zhu, Yue Liu

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Causal Coordinated Concurrent Reinforcement Learning

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Jan 31, 2024
Tim Tse, Isaac Chan, Zhitang Chen

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Efficient Robust Bayesian Optimization for Arbitrary Uncertain Inputs

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Nov 03, 2023
Lin Yang, Junlong Lyu, Wenlong Lyu, Zhitang Chen

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Convergence guarantee for consistency models

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Aug 22, 2023
Junlong Lyu, Zhitang Chen, Shoubo Feng

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Efficient Bayesian Optimization with Deep Kernel Learning and Transformer Pre-trained on Multiple Heterogeneous Datasets

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Aug 09, 2023
Wenlong Lyu, Shoubo Hu, Jie Chuai, Zhitang Chen

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Reweighted Interacting Langevin Diffusions: an Accelerated Sampling Methodfor Optimization

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Jan 30, 2023
Junlong Lyu, Zhitang Chen, Wenlong Lyu, Jianye Hao

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Neighbor Auto-Grouping Graph Neural Networks for Handover Parameter Configuration in Cellular Network

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Dec 29, 2022
Mehrtash Mehrabi, Walid Masoudimansour, Yingxue Zhang, Jie Chuai, Zhitang Chen, Mark Coates, Jianye Hao, Yanhui Geng

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Reframed GES with a Neural Conditional Dependence Measure

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Jun 17, 2022
Xinwei Shen, Shengyu Zhu, Jiji Zhang, Shoubo Hu, Zhitang Chen

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Out-of-distribution Generalization with Causal Invariant Transformations

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Mar 24, 2022
Ruoyu Wang, Mingyang Yi, Zhitang Chen, Shengyu Zhu

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Generalizable Information Theoretic Causal Representation

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Feb 17, 2022
Mengyue Yang, Xinyu Cai, Furui Liu, Xu Chen, Zhitang Chen, Jianye Hao, Jun Wang

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