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68 Results
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Poster
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Tue 9:00 |
Cluster Randomized Designs for One-Sided Bipartite Experiments Jennifer Brennan · Vahab Mirrokni · Jean Pouget-Abadie |
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Poster
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Tue 9:00 |
Empirical Gateaux Derivatives for Causal Inference Michael Jordan · Yixin Wang · Angela Zhou |
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Poster
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Thu 9:00 |
Amortized Inference for Causal Structure Learning Lars Lorch · Scott Sussex · Jonas Rothfuss · Andreas Krause · Bernhard Schölkopf |
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Workshop
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A Causal Inference Framework for Network Interference with Panel Data Sarah Cen · Anish Agarwal · Christina Yu · Devavrat Shah |
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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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Poster
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Tue 9:00 |
Counterfactual Neural Temporal Point Process for Estimating Causal Influence of Misinformation on Social Media Yizhou Zhang · Defu Cao · Yan Liu |
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Poster
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Wed 9:00 |
Doubly Robust Counterfactual Classification Kwangho Kim · Edward Kennedy · Jose Zubizarreta |
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Poster
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Thu 14:00 |
CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior Eldar D Abraham · Karel D'Oosterlinck · Amir Feder · Yair Gat · Atticus Geiger · Christopher Potts · Roi Reichart · Zhengxuan Wu |
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Affinity Workshop
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Deep Multi-Modal Structural Equations For Causal Effect Estimation With Unstructured Proxies Shachi Deshpande · Kaiwen Wang · Dhruv Sreenivas · Zheng Li · Volodymyr Kuleshov |
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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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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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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 |