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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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Poster
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Wed 14:00
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An Adaptive Kernel Approach to Federated Learning of Heterogeneous Causal Effects
Thanh Vinh Vo · Arnab Bhattacharyya · Young Lee · Tze-Yun Leong
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Workshop
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Fri 13:48
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On the Unreasonable Effectiveness of Federated Averaging with Heterogenous Data - Q&A
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Workshop
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Fri 13:30
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On the Unreasonable Effectiveness of Federated Averaging with Heterogenous Data
Jianyu Wang
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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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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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Tue 9:00
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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
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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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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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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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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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