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Poster
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Wed 17:00
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Instrumental Variable Estimation of Average Partial Causal Effects
Yuta Kawakami · manabu kuroki · Jin Tian
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Workshop
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Transfer Causal Learning: Causal Effect Estimation with Knowledge Transfer
Song Wei · Ronald Moore · Hanyu Zhang · Yao Xie · Rishikesan Kamaleswaran
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Poster
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Wed 14:00
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Proximal Causal Learning of Conditional Average Treatment Effects
Erik Sverdrup · Yifan Cui
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Poster
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Thu 13:30
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Estimating Possible Causal Effects with Latent Variables via Adjustment
Tian-Zuo Wang · Tian Qin · Zhi-Hua Zhou
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Workshop
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Approximate Causal Effect Identification under Weak Confounding
Ziwei Jiang · Lai Wei · Murat Kocaoglu
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Poster
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Thu 13:30
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Causal Isotonic Calibration for Heterogeneous Treatment Effects
Lars van der Laan · Ernesto Ulloa-Perez · Marco Carone · Alex Luedtke
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Poster
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Wed 14:00
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Approximate Causal Effect Identification under Weak Confounding
Ziwei Jiang · Lai Wei · Murat Kocaoglu
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Poster
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Tue 14:00
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On Heterogeneous Treatment Effects in Heterogeneous Causal Graphs
Richard Watson · Hengrui Cai · Xinming An · Samuel McLean · Rui Song
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Poster
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Tue 17:00
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Selective Machine Learning of the Average Treatment Effect with an Invalid Instrumental Variable
Baoluo Sun · Yifan Cui · Eric Tchetgen Tchetgen
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Workshop
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Calibrated Propensities for Causal Effect Estimation
Shachi Deshpande · Volodymyr Kuleshov
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Poster
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Tue 14:00
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Pricing Experimental Design: Causal Effect, Expected Revenue and Tail Risk
David Simchi-Levi · Chonghuan Wang
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Poster
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Tue 17:00
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B-Learner: Quasi-Oracle Bounds on Heterogeneous Causal Effects Under Hidden Confounding
Miruna Oprescu · Jacob Dorn · Marah Ghoummaid · Andrew Jesson · Nathan Kallus · Uri Shalit
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