Causal Learning-Inference

A Causal Roadmap for Generating High-Quality Real-World Evidence

Lauren E Dang, Susan Gruber, Hana Lee, Issa Dahabreh, Elizabeth A Stuart, Brian D Williamson, Richard Wyss, Iván Díaz, Debashis Ghosh, Emre Kiciman, Demissie Alemayehu, Katherine L Hoffman, Carla Y Vossen, Raymond A Huml, Henrik Ravn, Kajsa Kvist, Richard Pratley, Mei-Chiung Shih, Gene Pennello, David Martin, Salina P Waddy, Charles E Barr, Mouna Akacha, John B Buse, Mark van der Laan, Maya Petersen

May 2023

Publication

Deep End-to-end Causal Inference

Tomas Geffner, Javier Antoran, Adam Foster, Wenbo Gong, Chao Ma, Emre Kiciman, Amit Sharma, Angus Lamb, Martin Kukla, Agrin Hilmkil, Joel Jennings, Nick Pawlowski, Miltiadis Allamanis, Cheng Zhang

NeurIPS 2022 Workshop on Causal Machine Learning for Real-World Impact (CML4Impact 2022) | November 2022

Publication Project

Deep End-to-end Causal Inference

Tomas Geffner, Javier Antoran, Adam Foster, Wenbo Gong, Chao Ma, Emre Kiciman (emrek), Amit Sharma, Martin Kukla, Nick Pawlowski, Miltos Allamanis, Cheng Zhang

MSR-TR-2022-1 | February 2022

Published by Microsoft

Publication Project

A Causal Roadmap for Generating High-Quality Real-World Evidence

Lauren E Dang, Susan Gruber, Hana Lee, Issa Dahabreh, Elizabeth A Stuart, Brian D Williamson, Richard Wyss, Iván Díaz, Debashis Ghosh, Emre Kiciman, Demissie Alemayehu, Katherine L Hoffman, Carla Y Vossen, Raymond A Huml, Henrik Ravn, Kajsa Kvist, Richard Pratley, Mei-Chiung Shih, Gene Pennello, David Martin, Salina P Waddy, Charles E Barr, Mouna Akacha, John B Buse, Mark van der Laan, Maya Petersen

May 2023

Publication

Deep End-to-end Causal Inference

Tomas Geffner, Javier Antoran, Adam Foster, Wenbo Gong, Chao Ma, Emre Kiciman, Amit Sharma, Angus Lamb, Martin Kukla, Agrin Hilmkil, Joel Jennings, Nick Pawlowski, Miltiadis Allamanis, Cheng Zhang

NeurIPS 2022 Workshop on Causal Machine Learning for Real-World Impact (CML4Impact 2022) | November 2022

Publication Project

Deep End-to-end Causal Inference

Tomas Geffner, Javier Antoran, Adam Foster, Wenbo Gong, Chao Ma, Emre Kiciman (emrek), Amit Sharma, Martin Kukla, Nick Pawlowski, Miltos Allamanis, Cheng Zhang

MSR-TR-2022-1 | February 2022

Published by Microsoft

Publication Project

A Causal Roadmap for Generating High-Quality Real-World Evidence

Lauren E Dang, Susan Gruber, Hana Lee, Issa Dahabreh, Elizabeth A Stuart, Brian D Williamson, Richard Wyss, Iván Díaz, Debashis Ghosh, Emre Kiciman, Demissie Alemayehu, Katherine L Hoffman, Carla Y Vossen, Raymond A Huml, Henrik Ravn, Kajsa Kvist, Richard Pratley, Mei-Chiung Shih, Gene Pennello, David Martin, Salina P Waddy, Charles E Barr, Mouna Akacha, John B Buse, Mark van der Laan, Maya Petersen

May 2023

Publication

Deep End-to-end Causal Inference

Tomas Geffner, Javier Antoran, Adam Foster, Wenbo Gong, Chao Ma, Emre Kiciman, Amit Sharma, Angus Lamb, Martin Kukla, Agrin Hilmkil, Joel Jennings, Nick Pawlowski, Miltiadis Allamanis, Cheng Zhang

NeurIPS 2022 Workshop on Causal Machine Learning for Real-World Impact (CML4Impact 2022) | November 2022

Publication Project

Deep End-to-end Causal Inference

Tomas Geffner, Javier Antoran, Adam Foster, Wenbo Gong, Chao Ma, Emre Kiciman (emrek), Amit Sharma, Martin Kukla, Nick Pawlowski, Miltos Allamanis, Cheng Zhang

MSR-TR-2022-1 | February 2022

Published by Microsoft

Publication Project