Zhu, Shengyu

9 publications

UAI 2023 Conditional Counterfactual Causal Effect for Individual Attribution Ruiqi Zhao, Lei Zhang, Shengyu Zhu, Zitong Lu, Zhenhua Dong, Chaoliang Zhang, Jun Xu, Zhi Geng, Yangbo He

ICML 2023 Provably Invariant Learning Without Domain Information Xiaoyu Tan, Lin Yong, Shengyu Zhu, Chao Qu, Xihe Qiu, Xu Yinghui, Peng Cui, Yuan Qi

CVPR 2022 Out-of-Distribution Generalization with Causal Invariant Transformations Ruoyu Wang, Mingyang Yi, Zhitang Chen, Shengyu Zhu

NeurIPS 2022 Para-CFlows: $C^k$-Universal Diffeomorphism Approximators as Superior Neural Surrogates Junlong Lyu, Zhitang Chen, Chang Feng, Wenjing Cun, Shengyu Zhu, Yanhui Geng, Zhijie Xu, Chen Yongwei

UAI 2022 Reframed GES with a Neural Conditional Dependence Measure Xinwei Shen, Shengyu Zhu, Jiji Zhang, Shoubo Hu, Zhitang Chen

NeurIPS 2022 ZIN: When and How to Learn Invariance Without Environment Partition? Yong Lin, Shengyu Zhu, Lu Tan, Peng Cui

IJCAI 2021 Ordering-Based Causal Discovery with Reinforcement Learning Xiaoqiang Wang, Yali Du, Shengyu Zhu, Liangjun Ke, Zhitang Chen, Jianye Hao, Jun Wang

ICLR 2020 Causal Discovery with Reinforcement Learning Shengyu Zhu, Ignavier Ng, Zhitang Chen

AISTATS 2019 Universal Hypothesis Testing with Kernels: Asymptotically Optimal Tests for Goodness of Fit Shengyu Zhu, Biao Chen, Pengfei Yang, Zhitang Chen