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8 Results
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Workshop
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Can Large Language Models Build Causal Graphs? Stephanie Long · Tibor Schuster · Alexandre Piche |
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Poster
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Wed 9:00 |
Sound and Complete Causal Identification with Latent Variables Given Local Background Knowledge Tian-Zuo Wang · Tian Qin · Zhi-Hua Zhou |
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Poster
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Tue 9:00 |
Root Cause Analysis of Failures in Microservices through Causal Discovery Azam Ikram · Sarthak Chakraborty · Subrata Mitra · Shiv Saini · Saurabh Bagchi · Murat Kocaoglu |
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Poster
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Wed 14:00 |
Counterfactual Fairness with Partially Known Causal Graph Aoqi Zuo · Susan Wei · Tongliang Liu · Bo Han · Kun Zhang · Mingming Gong |
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Poster
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Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure Shaohua Fan · Xiao Wang · Yanhu Mo · Chuan Shi · Jian Tang |
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Poster
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Wed 9:00 |
Large-Scale Differentiable Causal Discovery of Factor Graphs Romain Lopez · Jan-Christian Huetter · Jonathan Pritchard · Aviv Regev |
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Poster
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Thu 14:00 |
DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization Kevin Bello · Bryon Aragam · Pradeep Ravikumar |
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Poster
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Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs Yongqiang Chen · Yonggang Zhang · Yatao Bian · Han Yang · MA Kaili · Binghui Xie · Tongliang Liu · Bo Han · James Cheng |