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Poster
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Thu 9:00
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Scalable Sensitivity and Uncertainty Analyses for Causal-Effect Estimates of Continuous-Valued Interventions
Andrew Jesson · Alyson Douglas · Peter Manshausen · Maëlys Solal · Nicolai Meinshausen · Philip Stier · Yarin Gal · Uri Shalit
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Poster
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Wed 14:00
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An Adaptive Kernel Approach to Federated Learning of Heterogeneous Causal Effects
Thanh Vinh Vo · Arnab Bhattacharyya · Young Lee · Tze-Yun Leong
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Poster
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Wed 9:00
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Debiased Machine Learning without Sample-Splitting for Stable Estimators
Qizhao Chen · Vasilis Syrgkanis · Morgane Austern
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Poster
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Wed 9:00
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Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects Estimation
Ioana Bica · Mihaela van der Schaar
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Poster
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Tue 14:00
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What's the Harm? Sharp Bounds on the Fraction Negatively Affected by Treatment
Nathan Kallus
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Workshop
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Symbolic Causal Inference via Operations on Probabilistic Circuits
Benjie Wang · Marta Kwiatkowska
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Workshop
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Variational Causal Inference
Yulun Wu · Layne Price · Zichen Wang · Vassilis Ioannidis · Rob Barton · George Karypis
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Poster
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Disentangling Causal Effects from Sets of Interventions in the Presence of Unobserved Confounders
Olivier Jeunen · Ciarán Gilligan-Lee · Rishabh Mehrotra · Mounia Lalmas
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Workshop
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Identifying Causal Effects Of Exercise On Irregular Heart Rhythm Events Using Wearable Device Data
Lauren Hannah · Adam Bouyamourn
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Workshop
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Valid Inference after Causal Discovery
Paula Gradu · Tijana Zrnic · Yixin Wang · Michael Jordan
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Workshop
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A Large-Scale Observational Study of the Causal Effects of a Behavioral Health Nudge
Achille Nazaret · Guillermo Sapiro
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Poster
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Thu 9:00
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Falsification before Extrapolation in Causal Effect Estimation
Zeshan M Hussain · Michael Oberst · Ming-Chieh Shih · David Sontag
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