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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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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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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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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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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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Poster
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Thu 9:00
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Direct Advantage Estimation
Hsiao-Ru Pan · Nico Gürtler · Alexander Neitz · Bernhard Schölkopf
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Workshop
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Fri 9:45
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Local Causal Discovery for Estimating Causal Effects
Shantanu Gupta · David Childers · Zachary Lipton
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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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Thu 9:00
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Causal Identification under Markov equivalence: Calculus, Algorithm, and Completeness
Amin Jaber · Adele Ribeiro · Jiji Zhang · Elias Bareinboim
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Workshop
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Local Causal Discovery for Estimating Causal Effects
Shantanu Gupta · David Childers · Zachary Lipton
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