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58 Results
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Poster
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Wed 9:00 |
Deep Learning Methods for Proximal Inference via Maximum Moment Restriction Benjamin Kompa · David Bellamy · Tom Kolokotrones · james m robins · Andrew Beam |
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Workshop
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Deep End-to-end Causal Inference Tomas Geffner · Javier Antorán · Adam Foster · Wenbo Gong · Chao Ma · Emre Kiciman · Amit Sharma · Angus Lamb · Martin Kukla · Nick Pawlowski · Miltiadis Allamanis · Cheng Zhang |
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Poster
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Wed 9:00 |
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 14:00 |
Deep Counterfactual Estimation with Categorical Background Variables Edward De Brouwer |
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Workshop
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Making the World More Equal, One Ride at a Time: Studying Public Transportation Initiatives Using Interpretable Causal Inference Gaurav Rajesh Parikh · Albert Sun · Jenny Huang · Lesia Semenova · Cynthia Rudin |
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Workshop
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Fri 12:30 |
Dynamic Survival Transformers for Causal Inference with Electronic Health Records Prayag Chatha · Yixin Wang · Zhenke Wu · Jeffrey Regier |
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Workshop
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Active Bayesian Causal inference Christian Toth · Lars Lorch · Christian Knoll · Andreas Krause · Franz Pernkopf · Robert Peharz · Julius von Kügelgen |
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Poster
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Thu 9:00 |
DeepMed: Semiparametric Causal Mediation Analysis with Debiased Deep Learning Siqi Xu · Lin Liu · Zhonghua Liu |
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Poster
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Wed 9:00 |
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 |
Sequence Model Imitation Learning with Unobserved Contexts Gokul Swamy · Sanjiban Choudhury · J. Bagnell · Steven Wu |
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Workshop
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Urban Heat Island Detection and Causal Inference Using Convolutional Neural Networks Zachary D Calhoun · Ziyang Jiang · Mike Bergin · David Carlson |
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Workshop
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Active Bayesian Causal Inference Christian Toth · Lars Lorch · Christian Knoll · Andreas Krause · Franz Pernkopf · Robert Peharz · Julius von Kügelgen |