Author

Venus Haghighi

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Aug 2026

Self-supervised Causal Effects Estimation

Self-supervised Causal Effects Estimation is proposed, a novel framework that integrates causal priors with self-supervised learning to construct balanced and predictive representations for causal effects estimation that consistently outperforms state-of-the-art methods.

Xin-Shu Li, Shiyi Yang, Venus Haghighi et al. · ACM Transactions on Intellig... · 0 citations