Action-Sufficient State Representation Learning for Control with Structural Constraints, Biwei Huang, Chaochao Lu, Liu Leqi, José Miguel Hernández-Lobato, Clark Glymour, Bernhard Schölkopf, Kun Zhang
Kun Zhang

Ada-FFL: Adaptive computing fairness federated learning, Yue Cong, Jing Qiu, Kun Zhang, Zhongyang Fang, Chengliang Gao, Shen Su, Zhihong Tian
Kun Zhang

ADARL: WHAT, WHERE, AND HOW TO ADAPT IN TRANSFER REINFORCEMENT LEARNING, Biwei Huang, Fan Feng, Chaochao Lu, Sara Magliacane, Kun Zhang
Kun Zhang

A New Minimality Condition for Boolean Accounts of Causal Regularities, Jiji Zhang, Kun Zhang
Kun Zhang

Independence Testing-Based Approach to Causal Discovery under Measurement Error and Linear Non-Gaussian Models, Haoyue Dai, Peter Spirtes, Kun Zhang
Kun Zhang

Improving the Expressiveness of K-hop Message-Passing GNNs by Injecting Contextualized Substructure Information, Tianjun Yao, Yingxu Wang, Kun Zhang, Shangsong Liang
Kun Zhang

Factored Adaptation for Non-stationary Reinforcement Learning, Fan Feng, Biwei Huang, Kun Zhang, Sara Magliacane
Kun Zhang

Conditional Contrastive Learning with Kernel, Yao Hung Hubert Tsai, Tianqin Li, Martin Q. Ma, Han Zhao, Kun Zhang, Louis Philippe Morency, Ruslan Salakhutdinov
Kun Zhang

Latent Hierarchical Causal Structure Discovery with Rank Constraints, Biwei Huang, Charles Low, Feng Xie, Clark Glymour, Kun Zhang
Kun Zhang

Partial Identifiability for Domain Adaptation, Lingjing Kong, Shaoan Xie, Weiran Yao, Yujia Zheng, Guangyi Chen, Petar Stojanov, Victor Akinwande, Kun Zhang
Kun Zhang

Knee Injury Diagnosis with Data and Feature Fusion-Enhanced Multi-Label Classification Network, Hanin Al Ghothani, Kun Zhang
Kun Zhang

MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models, Erdun Gao, Ignavier Ng, Mingming Gong, Li Shen, Wei Huang, Tongliang Liu, Kun Zhang, Howard Bondell
Kun Zhang

Learning Temporally Causal Latent Processes from General Temporal Data, Weiran Yao, Yuewen Sun, Alex Ho, Changyin Sun, Kun Zhang
Kun Zhang

MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models, Erdun Gao, Ignavier Ng, Mingming Gong, Li Shen, Wei Huang, Tongliang Liu, Kun Zhang, Howard Bondell
Mingming Gong

Knee Injury Diagnosis with Data and Feature Fusion-Enhanced Multi-Label Classification Network, Hanin Al Ghothani, Kun Zhang
Machine Learning Faculty Publications

Ada-FFL: Adaptive computing fairness federated learning, Yue Cong, Jing Qiu, Kun Zhang, Zhongyang Fang, Chengliang Gao, Shen Su, Zhihong Tian
Machine Learning Faculty Publications

Improving the Expressiveness of K-hop Message-Passing GNNs by Injecting Contextualized Substructure Information, Tianjun Yao, Yingxu Wang, Kun Zhang, Shangsong Liang
Machine Learning Faculty Publications

Residual Similarity Based Conditional Independence Test and Its Application in Causal Discovery, Hao Zhang, Shuigeng Zhou, Kun Zhang, Jihong Guan
Kun Zhang

Maximum Spatial Perturbation Consistency for Unpaired Image-to-Image Translation, Yanwu Xu, Shaoan Xie, Wenhao Wu, Kun Zhang, Mingming Gong, Kayhan Batmanghelich
Kun Zhang

Alleviating Semantics Distortion in Unsupervised Low-Level Image-to-Image Translation via Structure Consistency Constraint, Jiaxian Guo, Jiachen Li, Huan Fu, Mingming Gong, Kun Zhang, Dacheng Tao
Kun Zhang

Causal discovery of 1-factor measurement models in linear latent variable models with arbitrary noise distributions, Feng Xie, Yan Zeng, Zhengming Chen, Yangbo He, Zhi Geng, Kun Zhang
Kun Zhang

Alleviating Semantics Distortion in Unsupervised Low-Level Image-to-Image Translation via Structure Consistency Constraint, Jiaxian Guo, Jiachen Li, Huan Fu, Mingming Gong, Kun Zhang, Dacheng Tao
Mingming Gong

Maximum Spatial Perturbation Consistency for Unpaired Image-to-Image Translation, Yanwu Xu, Shaoan Xie, Wenhao Wu, Kun Zhang, Mingming Gong, Kayhan Batmanghelich
Mingming Gong

A New Minimality Condition for Boolean Accounts of Causal Regularities, Jiji Zhang, Kun Zhang
Machine Learning Faculty Publications

Causal discovery of 1-factor measurement models in linear latent variable models with arbitrary noise distributions, Feng Xie, Yan Zeng, Zhengming Chen, Yangbo He, Zhi Geng, Kun Zhang
Machine Learning Faculty Publications

Unpaired Image-to-Image Translation with Density Changing Regularization, Shaoan Xie, Qirong Ho, Kun Zhang
Machine Learning Faculty Publications

MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models, Erdun Gao, Ignavier Ng, Mingming Gong, Li Shen, Wei Huang, Tongliang Liu, Kun Zhang, Howard Bondell
Machine Learning Faculty Publications

Latent Hierarchical Causal Structure Discovery with Rank Constraints, Biwei Huang, Charles Low, Feng Xie, Clark Glymour, Kun Zhang
Machine Learning Faculty Publications

Independence Testing-Based Approach to Causal Discovery under Measurement Error and Linear Non-Gaussian Models, Haoyue Dai, Peter Spirtes, Kun Zhang
Machine Learning Faculty Publications

Factored Adaptation for Non-stationary Reinforcement Learning, Fan Feng, Biwei Huang, Kun Zhang, Sara Magliacane
Machine Learning Faculty Publications

Casual Balancing for Domain Generalization, Xinyi Wang, Michael Saxon, Jiachen Li, Hongyang Zhang, Kun Zhang, William Yang Wang
Kun Zhang

Maximum Spatial Perturbation Consistency for Unpaired Image-to-Image Translation, Yanwu Xu, Shaoan Xie, Wenhao Wu, Kun Zhang, Mingming Gong, Kayhan Batmanghelich
Machine Learning Faculty Publications

Alleviating Semantics Distortion in Unsupervised Low-Level Image-to-Image Translation via Structure Consistency Constraint, Jiaxian Guo, Jiachen Li, Huan Fu, Mingming Gong, Kun Zhang, Dacheng Tao
Machine Learning Faculty Publications

Truncated Matrix Power Iteration for Differentiable DAG Learning, Zhen Zhang, Ignavier Ng, Dong Gong, Yuhang Liu, Ehsan M. Abbasnejad, Mingming Gong, Kun Zhang, Javen Qinfeng Shi
Kun Zhang

Truncated Matrix Power Iteration for Differentiable DAG Learning, Zhen Zhang, Ignavier Ng, Dong Gong, Yuhang Liu, Ehsan M. Abbasnejad, Mingming Gong, Kun Zhang, Javen Qinfeng Shi
Machine Learning Faculty Publications

Identification of Linear Non-Gaussian Latent Hierarchical Structure, Feng Xie, Biwei Huang, Zhengming Chen, Yangbo He, Zhi Geng, Kun Zhang
Machine Learning Faculty Publications

Action-Sufficient State Representation Learning for Control with Structural Constraints, Biwei Huang, Chaochao Lu, Liu Leqi, José Miguel Hernández-Lobato, Clark Glymour, Bernhard Schölkopf, Kun Zhang
Machine Learning Faculty Publications

Offline Reinforcement Learning with Causal Structured World Models, Zheng-Mao Zhu, Xiong-Hui Chen, Hong-Long Tian, Kun Zhang, Yang Yu
Kun Zhang

On the Convergence of Continuous Constrained Optimization for Structure Learning, Ignavier Ng, Sébastien Lachapelle, Nan Rosemary Ke, Simon Lacoste-Julien, Kun Zhang
Kun Zhang

CausalAdv: Adversarial Robustness through the Lens of Causality, Yonggang Zhang, Mingming Gong, Tongliang Liu, Gang Niu, Xinmei Tian, Bo Han, Bernhard Schölkopf, Kun Zhang
Kun Zhang

On the Identifiability of Nonlinear ICA: Sparsity and Beyond, Yujia Zheng, Ignavier Ng, Kun Zhang
Kun Zhang

What-Is and How-To for Fairness in Machine Learning: A Survey, Reflection, and Perspective, Zeyu Tang, Jiji Zhang, Kun Zhang
Kun Zhang

Towards Federated Bayesian Network Structure Learning with Continuous Optimization, Ignavier Ng, Kun Zhang
Kun Zhang

Offline Reinforcement Learning with Causal Structured World Models, Zheng-Mao Zhu, Xiong-Hui Chen, Hong-Long Tian, Kun Zhang, Yang Yu
Machine Learning Faculty Publications

What-Is and How-To for Fairness in Machine Learning: A Survey, Reflection, and Perspective, Zeyu Tang, Jiji Zhang, Kun Zhang
Machine Learning Faculty Publications

Casual Balancing for Domain Generalization, Xinyi Wang, Michael Saxon, Jiachen Li, Hongyang Zhang, Kun Zhang, William Yang Wang
Machine Learning Faculty Publications

On the Identifiability of Nonlinear ICA: Sparsity and Beyond, Yujia Zheng, Ignavier Ng, Kun Zhang
Machine Learning Faculty Publications

Residual Similarity Based Conditional Independence Test and Its Application in Causal Discovery, Hao Zhang, Shuigeng Zhou, Kun Zhang, Jihong Guan
Machine Learning Faculty Publications

Testability of Instrumental Variables in Linear non-Gaussian Acyclic Causal Models, Feng Xie, Yangbo He, Zhi Geng, Zhengming Chen, Ru Hou, Kun Zhang
Kun Zhang

Optimal Transport for Causal Discovery, Ruibo Tu, Kun Zhang, Hedvig Kjellström, Cheng Zhang
Kun Zhang

Relevance Attack on Detectors, Sizhe Chen, Fan He, Xiaolin Huang, Kun Zhang
Machine Learning Faculty Publications

Testability of Instrumental Variables in Linear non-Gaussian Acyclic Causal Models, Feng Xie, Yangbo He, Zhi Geng, Zhengming Chen, Ru Hou, Kun Zhang
Machine Learning Faculty Publications

Learning Latent Causal Dynamics, Weiran Yao, Guangyi Chen, Kun Zhang
Kun Zhang

Learning Latent Causal Dynamics, Weiran Yao, Guangyi Chen, Kun Zhang
Machine Learning Faculty Publications

Attainability and Optimality: The Equalized Odds Fairness Revisited, Zeyu Tang, Kun Zhang
Machine Learning Faculty Publications

Partial Identifiability for Domain Adaptation, Lingjing Kong, Shaoan Xie, Weiran Yao, Yujia Zheng, Guangyi Chen, Petar Stojanov, Victor Akinwande, Kun Zhang
Machine Learning Faculty Publications

Optimal Transport for Causal Discovery, Ruibo Tu, Kun Zhang, Hedvig Kjellström, Cheng Zhang
Machine Learning Faculty Publications

Learning Temporally Causal Latent Processes from General Temporal Data, Weiran Yao, Yuewen Sun, Alex Ho, Changyin Sun, Kun Zhang
Machine Learning Faculty Publications

Conditional Contrastive Learning with Kernel, Yao Hung Hubert Tsai, Tianqin Li, Martin Q. Ma, Han Zhao, Kun Zhang, Louis Philippe Morency, Ruslan Salakhutdinov
Machine Learning Faculty Publications

ADARL: WHAT, WHERE, AND HOW TO ADAPT IN TRANSFER REINFORCEMENT LEARNING, Biwei Huang, Fan Feng, Chaochao Lu, Sara Magliacane, Kun Zhang
Machine Learning Faculty Publications

Towards Federated Bayesian Network Structure Learning with Continuous Optimization, Ignavier Ng, Kun Zhang
Machine Learning Faculty Publications

CausalAdv: Adversarial Robustness through the Lens of Causality, Yonggang Zhang, Mingming Gong, Tongliang Liu, Gang Niu, Xinmei Tian, Bo Han, Bernhard Schölkopf, Kun Zhang
Machine Learning Faculty Publications

On the Convergence of Continuous Constrained Optimization for Structure Learning, Ignavier Ng, Sébastien Lachapelle, Nan Rosemary Ke, Simon Lacoste-Julien, Kun Zhang
Machine Learning Faculty Publications