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Oral Session
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Fri 10:00
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Oral Session 5B: Graph Neural Networks, Causal Inference
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Session
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Fri 10:00
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Overflow for Oral Session 5B: Graph Neural Networks, Causal Inference
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Poster
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Fri 11:00
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Linear Causal Bandits: Unknown Graph and Soft Interventions
Zirui Yan · Ali Tajer
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Poster
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Wed 16:30
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Sample Efficient Bayesian Learning of Causal Graphs from Interventions
Zihan Zhou · Muhammad Qasim Elahi · Murat Kocaoglu
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Poster
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Wed 16:30
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DeepITE: Designing Variational Graph Autoencoders for Intervention Target Estimation
Hongyuan Tao · Hang Yu · Jianguo Li
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Poster
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Wed 16:30
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A Local Method for Satisfying Interventional Fairness with Partially Known Causal Graphs
Haoxuan Li · Yue Liu · Zhi Geng · Kun Zhang
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Poster
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Fri 16:30
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Graph Structure Inference with BAM: Neural Dependency Processing via Bilinear Attention
Philipp Froehlich · Heinz Koeppl
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Workshop
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CausalBench: A Comprehensive Benchmark for Evaluating Causal Reasoning Capabilities of Large Language Models
ZEYU WANG
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Workshop
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Causal Reasoning in Large Language Models: A Knowledge Graph Approach
Yejin Kim · Eojin Kang · Juae Kim · H. Howie Huang
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Workshop
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Using Relational and Causality Context for Tasks with Specialized Vocabularies that are Challenging for LLMs
Ryosuke Nakanishi · Yan-Ying Chen · Francine Chen · Matt Klenk · Charlene C. Wu
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Workshop
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Sat 14:00
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Using Relational and Causality Context for Tasks with Specialized Vocabularies that are Challenging for LLMs
Ryosuke Nakanishi · Yan-Ying Chen · Francine Chen · Matt Klenk · Charlene C. Wu
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Workshop
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Graph Agnostic Causal Bayesian Optimisation
Sumantrak Mukherjee · Mengyan Zhang · Seth Flaxman · Sebastian Vollmer
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