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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 9:00 Deep Learning Methods for Proximal Inference via Maximum Moment Restriction
Benjamin Kompa · David Bellamy · Tom Kolokotrones · james m robins · Andrew Beam
Workshop
Time Series Causal Link Estimation under Hidden Confounding using Knockoff Interventions
Violeta-Teodora Trifunov · Maha Shadaydeh · Joachim Denzler
Poster
Tue 9:00 ConfounderGAN: Protecting Image Data Privacy with Causal Confounder
Qi Tian · Kun Kuang · Kelu Jiang · Furui Liu · Zhihua Wang · Fei Wu
Poster
Tue 9:00 Debiased Causal Tree: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding
Caizhi Tang · Huiyuan Wang · Xinyu Li · Qing Cui · Ya-Lin Zhang · Feng Zhu · Longfei Li · Jun Zhou · Linbo Jiang
Workshop
Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning
Matthew Ashman · Chao Ma · Agrin Hilmkil · Joel Jennings · Cheng Zhang
Poster
Thu 14:00 Generative multitask learning mitigates target-causing confounding
Taro Makino · Krzysztof Geras · Kyunghyun Cho
Poster
Disentangling Causal Effects from Sets of Interventions in the Presence of Unobserved Confounders
Olivier Jeunen · Ciarán Gilligan-Lee · Rishabh Mehrotra · Mounia Lalmas