Poster

Thu 9:00

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

Poster

Wed 14:00

An Adaptive Kernel Approach to Federated Learning of Heterogeneous Causal Effects
Thanh Vinh Vo · Arnab Bhattacharyya · Young Lee · Tze-Yun Leong

Poster

Wed 9:00

Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects Estimation
Ioana Bica · Mihaela van der Schaar

Poster

Tue 14:00

What's the Harm? Sharp Bounds on the Fraction Negatively Affected by Treatment
Nathan Kallus

Workshop

A Large-Scale Observational Study of the Causal Effects of a Behavioral Health Nudge
Achille Nazaret · Guillermo Sapiro

Workshop

Identifying Causal Effects Of Exercise On Irregular Heart Rhythm Events Using Wearable Device Data
Lauren Hannah · Adam Bouyamourn

Poster

Thu 9:00

Falsification before Extrapolation in Causal Effect Estimation
Zeshan M Hussain · Michael Oberst · Ming-Chieh Shih · David Sontag

Poster

Thu 9:00

Direct Advantage Estimation
Hsiao-Ru Pan · Nico Gürtler · Alexander Neitz · Bernhard Schölkopf

Workshop

Local Causal Discovery for Estimating Causal Effects
Shantanu Gupta · David Childers · Zachary Lipton

Workshop

Fri 9:45

Local Causal Discovery for Estimating Causal Effects
Shantanu Gupta · David Childers · Zachary Lipton

Poster

Thu 9:00

Causal Identification under Markov equivalence: Calculus, Algorithm, and Completeness
Amin Jaber · Adele Ribeiro · Jiji Zhang · Elias Bareinboim

Poster

Wed 9:00

Debiased Machine Learning without Sample-Splitting for Stable Estimators
Qizhao Chen · Vasilis Syrgkanis · Morgane Austern