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Poster
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Tue 9:00
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GLSearch: Maximum Common Subgraph Detection via Learning to Search
Yunsheng Bai · Derek Xu · Yizhou Sun · Wei Wang
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Spotlight
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Thu 17:45
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Causality-aware counterfactual confounding adjustment as an alternative to linear residualization in anticausal prediction tasks based on linear learners
Elias Chaibub Neto
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Poster
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Thu 21:00
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Causality-aware counterfactual confounding adjustment as an alternative to linear residualization in anticausal prediction tasks based on linear learners
Elias Chaibub Neto
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Spotlight
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Tue 6:45
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Poisson-Randomised DirBN: Large Mutation is Needed in Dirichlet Belief Networks
Xuhui Fan · Bin Li · Yaqiong Li · Scott SIsson
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Poster
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Tue 9:00
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Poisson-Randomised DirBN: Large Mutation is Needed in Dirichlet Belief Networks
Xuhui Fan · Bin Li · Yaqiong Li · Scott SIsson
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Spotlight
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Thu 20:40
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Permutation Weighting
David Arbour · Drew Dimmery · Arjun Sondhi
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Poster
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Thu 21:00
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Operationalizing Complex Causes: A Pragmatic View of Mediation
Limor Gultchin · David Watson · Matt J. Kusner · Ricardo Silva
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Poster
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Thu 21:00
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Permutation Weighting
David Arbour · Drew Dimmery · Arjun Sondhi
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Spotlight
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Thu 20:50
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Operationalizing Complex Causes: A Pragmatic View of Mediation
Limor Gultchin · David Watson · Matt J. Kusner · Ricardo Silva
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Poster
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Wed 9:00
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Necessary and sufficient conditions for causal feature selection in time series with latent common causes
Atalanti Mastakouri · Bernhard Schölkopf · Dominik Janzing
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Spotlight
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Wed 7:25
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Necessary and sufficient conditions for causal feature selection in time series with latent common causes
Atalanti Mastakouri · Bernhard Schölkopf · Dominik Janzing
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Spotlight
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Wed 19:45
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How and Why to Use Experimental Data to Evaluate Methods for Observational Causal Inference
Amanda Gentzel · Purva Pruthi · David Jensen
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