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Workshop
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Hierarchical Causal Representation Learning
Angelos Nalmpantis · Phillip Lippe · Sara Magliacane
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Workshop
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Active Causal Machine Learning for Molecular Property Prediction
Zachary Fox · Ayana Ghosh
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Workshop
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Fri 12:00
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Invited Talk 3: Kun Zhang: At the Intersection of Algorithmic Fairness and Causal Representation Learning
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Workshop
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SCADI: Self-supervised Causal Disentanglement in Latent Variable Models
Heejeong Nam
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Workshop
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Causal Regressions For Unstructured Data
Amandeep Singh · Bolong Zheng
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Poster
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Thu 15:00
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Characterization and Learning of Causal Graphs with Small Conditioning Sets
Murat Kocaoglu
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Poster
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Wed 15:00
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Finding Counterfactually Optimal Action Sequences in Continuous State Spaces
Stratis Tsirtsis · Manuel Rodriguez
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Poster
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Thu 8:45
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Sharp Bounds for Generalized Causal Sensitivity Analysis
Dennis Frauen · Valentyn Melnychuk · Stefan Feuerriegel
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Poster
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Thu 15:00
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Unpaired Multi-Domain Causal Representation Learning
Nils Sturma · Chandler Squires · Mathias Drton · Caroline Uhler
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Poster
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Wed 15:00
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Causal Effect Regularization: Automated Detection and Removal of Spurious Correlations
Abhinav Kumar · Amit Deshpande · Amit Sharma
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Poster
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Thu 15:00
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Optimized Covariance Design for AB Test on Social Network under Interference
Qianyi Chen · Bo Li · Lu Deng · Yong Wang
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Poster
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Thu 8:45
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Counterfactual Evaluation of Peer-Review Assignment Policies
Martin Saveski · Steven Jecmen · Nihar Shah · Johan Ugander
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