Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach
Published in International Conference on Machine Learning (ICML), 2025
Recommended citation: Jin Zhu*, Jingyi Li*, Hongyi Zhou, Yinan Lin, Zhenhua Lin, Chengchun Shi. (2025). Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach. International Conference on Machine Learning (ICML).
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