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Disentangling Causal Effects from Sets of Interventions in the Presence of Unobserved Confounders Olivier Jeunen · Ciaran Gilligan-Lee · Rishabh Mehrotra · Mounia Lalmas |
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Typing assumptions improve identification in causal discovery Philippe Brouillard · Perouz Taslakian · Alexandre Lacoste · Sébastien Lachapelle · Alexandre Drouin |
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Learning Neural Causal Models with Active Interventions Nino Scherrer · Olexa Bilaniuk · Yashas Annadani · Anirudh Goyal · Patrick Schwab · Bernhard Schölkopf · Michael Mozer · Yoshua Bengio · Stefan Bauer · Nan Rosemary Ke |
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Reliable causal discovery based on mutual information supremum principle for finite datasets Vincent Cabeli · Honghao Li · Marcel da Câmara Ribeiro Dantas · Herve Isambert |
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Scalable Causal Domain Adaptation Mohammad Ali Javidian · Om Pandey · Pooyan Jamshidi |
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Learning preventative and generative causal structures from point events in continuous time Tianwei Gong |
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Building Object-based Causal Programs for Human-like Generalization Bonan Zhao · Chris Lucas |
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On the Robustness of Causal Algorithmic Recourse Ricardo Dominguez-Olmedo · Amir Karimi · Bernhard Schölkopf |
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Desiderata for Representation Learning: A Causal Perspective Yixin Wang · Michael Jordan |
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Scalable Variational Approaches for Bayesian Causal Discovery Chris Cundy · Aditya Grover · Stefano Ermon |
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Using Non-Linear Causal Models to StudyAerosol-Cloud Interactions in the Southeast Pacific Andrew Jesson · Peter Manshausen · Alyson Douglas · Duncan Watson-Parris · Yarin Gal · Philip Stier |
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Causal Inference Using Tractable Circuits Adnan Darwiche |