|
Oral Session
|
Fri 10:00
|
Oral Session 5B: Graph Neural Networks, Causal Inference
|
|
|
Session
|
Fri 10:00
|
Overflow for Oral Session 5B: Graph Neural Networks, Causal Inference
|
|
|
Workshop
|
|
Leveraging LLM-Generated Structural Prior for Causal Inference with Concurrent Causes
Xingjian Zhang · Shixuan Liu · Yixin Wang · Qiaozhu Mei
|
|
|
Workshop
|
Sat 15:45
|
LLMs for Causal Inference
Jonathan Choi
|
|
|
Poster
|
Wed 11:00
|
Unified Covariate Adjustment for Causal Inference
Yonghan Jung · Jin Tian · Elias Bareinboim
|
|
|
Poster
|
Thu 11:00
|
Complete Graphical Criterion for Sequential Covariate Adjustment in Causal Inference
Yonghan Jung · Min Woo Park · Sanghack Lee
|
|
|
Poster
|
Wed 11:00
|
Marginal Causal Flows for Validation and Inference
Daniel de Vassimon Manela · Laura Battaglia · Robin Evans
|
|
|
Poster
|
Wed 16:30
|
Proximal Causal Inference With Text Data
Jacob Chen · Rohit Bhattacharya · Katherine Keith
|
|
|
Workshop
|
|
Causal Inference under Differential Privacy: Challenges and Mitigation Strategies
Amirhossein Farzam · Guillermo Sapiro
|
|
|
Poster
|
Fri 16:30
|
Graph Structure Inference with BAM: Neural Dependency Processing via Bilinear Attention
Philipp Froehlich · Heinz Koeppl
|
|
|
Poster
|
Fri 16:30
|
Tangent Space Causal Inference: Leveraging Vector Fields for Causal Discovery in Dynamical Systems
Kurt Butler · Daniel Waxman · Petar Djuric
|
|
|
Workshop
|
Sat 12:00
|
LLMs as Emotion Analyzers for Causal Models: Partial Identification with Fuzzy Interval Data
Huidi Ma · Wendao Xue · Yifan Yu
|
|
