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Poster
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Tue 14:00
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What's the Harm? Sharp Bounds on the Fraction Negatively Affected by Treatment
Nathan Kallus
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Poster
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Tue 9:00
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Sample Constrained Treatment Effect Estimation
Raghavendra Addanki · David Arbour · Tung Mai · Cameron Musco · Anup Rao
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Poster
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Wed 9:00
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Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects Estimation
Ioana Bica · Mihaela van der Schaar
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Poster
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Thu 9:00
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Learning Individualized Treatment Rules with Many Treatments: A Supervised Clustering Approach Using Adaptive Fusion
Haixu Ma · Donglin Zeng · Yufeng Liu
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Poster
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Thu 9:00
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Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability
Jonathan Crabbé · Alicia Curth · Ioana Bica · Mihaela van der Schaar
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Workshop
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Bounding the Effects of Continuous Treatments for Hidden Confounders
Myrl Marmarelis · Greg Ver Steeg · Neda Jahanshad · Aram Galstyan
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Poster
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Thu 9:00
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RISE: Robust Individualized Decision Learning with Sensitive Variables
Xiaoqing Tan · Zhengling Qi · Christopher Seymour · Lu Tang
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Poster
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Thu 9:00
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Partial Identification of Treatment Effects with Implicit Generative Models
Vahid Balazadeh Meresht · Vasilis Syrgkanis · Rahul Krishnan
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Poster
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Generalization Bounds for Estimating Causal Effects of Continuous Treatments
Xin Wang · Shengfei Lyu · Xingyu Wu · Tianhao Wu · Huanhuan Chen
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Workshop
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Exploring Transformer Backbones for Heterogeneous Treatment Effect Estimation
yifan zhang · Hanlin Zhang · Zachary Lipton · Li Erran Li · Eric Xing
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Poster
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Thu 14:00
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Staggered Rollout Designs Enable Causal Inference Under Interference Without Network Knowledge
Mayleen Cortez · Matthew Eichhorn · Christina Yu
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Poster
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Wed 9:00
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Debiased Machine Learning without Sample-Splitting for Stable Estimators
Qizhao Chen · Vasilis Syrgkanis · Morgane Austern
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