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22 Results
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Workshop
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On the role of prognostic factors and effect modifiers in structural causal models Rianne M. Schouten |
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Workshop
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Estimating Effects of Tokens in Preference Learning Hsiao-Ru Pan · Maximilian Mordig · Bernhard Schölkopf |
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Poster
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Fri 11:00 |
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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Wed 16:30 |
Causal Discovery from Event Sequences by Local Cause-Effect Attribution Joscha Cüppers · Sascha Xu · Ahmed Musa · Jilles Vreeken |
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Poster
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Thu 11:00 |
Conditional Generative Models are Sufficient to Sample from Any Causal Effect Estimand Md Musfiqur Rahman · Matt Jordan · Murat Kocaoglu |
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Poster
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Fri 11:00 |
Causal Effect Identification in a Sub-Population with Latent Variables Amir Mohammad Abouei · Ehsan Mokhtarian · Negar Kiyavash · Matthias Grossglauser |
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Poster
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An effective framework for estimating individualized treatment rules Joowon Lee · Jared Huling · Guanhua Chen |
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Oral
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Fri 10:20 |
Do Finetti: On Causal Effects for Exchangeable Data Siyuan Guo · Chi Zhang · Karthika Mohan · Ferenc Huszar · Bernhard Schölkopf |
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Workshop
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Minimally orthogonal causal effect estimation Yiman Ren · Daniel Clauw · Michael Burns · Maggie Makar |
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Poster
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A Non-parametric Direct Learning Approach to Heterogeneous Treatment Effect Estimation under Unmeasured Confounding Xinhai Zhang · Xingye Qiao |
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Poster
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Fri 11:00 |
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 |
Fast Proxy Experiment Design for Causal Effect Identification Sepehr Elahi · Sina Akbari · Jalal Etesami · Negar Kiyavash · Patrick Thiran |