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Workshop
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Bayesian Rashomon Sets for Model Uncertainty: A critical comparison
Aparajithan Venkateswaran · Tyler H. McCormick
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Poster
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A Non-parametric Direct Learning Approach to Heterogeneous Treatment Effect Estimation under Unmeasured Confounding
Xinhai Zhang · Xingye Qiao
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Poster
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Fri 11:00
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Estimating Heterogeneous Treatment Effects by Combining Weak Instruments and Observational Data
Miruna Oprescu · Nathan Kallus
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Workshop
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Estimating Treatment Effect across Heterogeneous Data Sources: An Instrumental Variable Approach
Haotian Wang · Haoxuan Li · Wenjing Yang · Hao Zou · Wanrong Huang · Kun Kuang
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Workshop
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Pilot Analysis for: Learning to Encode Multi-level Dynamics in Effect Heterogeneity Estimation
Fucheng Warren Zhu · Connor Jerzak · Adel Daoud
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Poster
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An effective framework for estimating individualized treatment rules
Joowon Lee · Jared Huling · Guanhua Chen
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Poster
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Fri 11:00
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Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner
Valentyn Melnychuk · Stefan Feuerriegel · Mihaela van der Schaar
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Workshop
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From Text to Treatment Effects: A Meta-Learning Approach to Handling Text-Based Confounding
Henri Arno · Paloma Rabaey · Thomas Demeester
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Workshop
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Efficient Experimentation for Estimation of Continuous and Discrete Conditional Treatment Effects
Muhammed Razzak · Panagiotis Tigas · Andrew Jesson · Yarin Gal · Uri Shalit
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Poster
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Thu 11:00
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Unveiling the Potential of Robustness in Selecting Conditional Average Treatment Effect Estimators
Yiyan Huang · Cheuk Hang LEUNG · Siyi WANG · YIJUN LI · Qi WU
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