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Poster
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Fri 16:30
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A Simple yet Scalable Granger Causal Structural Learning Approach for Topological Event Sequences
Mingjia Li · Shuo Liu · Hong Qian · Aimin Zhou
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Poster
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Thu 16:30
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Wasserstein Distributionally Robust Optimization through the Lens of Structural Causal Models and Individual Fairness
Ahmad-Reza Ehyaei · Golnoosh Farnadi · Samira Samadi
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Tutorial
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Tue 9:30
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Causality for Large Language Models
Zhijing Jin · Sergio Garrido
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Poster
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Fri 16:30
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Partial Transportability for Domain Generalization
Kasra Jalaldoust · Alexis Bellot · Elias Bareinboim
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Poster
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Fri 11:00
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Do Finetti: On Causal Effects for Exchangeable Data
Siyuan Guo · Chi Zhang · Karthika Mohan · Ferenc Huszar · Bernhard Schölkopf
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Poster
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Wed 11:00
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DiffPO: A causal diffusion model for learning distributions of potential outcomes
Yuchen Ma · Valentyn Melnychuk · Jonas Schweisthal · Stefan Feuerriegel
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Poster
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Fri 16:30
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Consistency of Neural Causal Partial Identification
Jiyuan Tan · Jose Blanchet · Vasilis Syrgkanis
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Poster
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Thu 16:30
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Learning Linear Causal Representations from General Environments: Identifiability and Intrinsic Ambiguity
Jikai Jin · Vasilis Syrgkanis
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Poster
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Fri 11:00
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Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner
Valentyn Melnychuk · Stefan Feuerriegel · Mihaela van der Schaar
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Poster
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Fri 16:30
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Identifying Causal Effects Under Functional Dependencies
Yizuo Chen · Adnan Darwiche
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Poster
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Thu 16:30
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COLD: Causal reasOning in cLosed Daily activities
Abhinav Joshi · areeb ahmad · Ashutosh Modi
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Poster
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Thu 16:30
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Causal Imitation for Markov Decision Processes: a Partial Identification Approach
Kangrui Ruan · Junzhe Zhang · Xuan Di · Elias Bareinboim
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