16 Results

Poster	Thu 9:00	Partial Identification of Treatment Effects with Implicit Generative Models Vahid Balazadeh Meresht · Vasilis Syrgkanis · Rahul Krishnan
Workshop	Fri 13:30	On the Unreasonable Effectiveness of Federated Averaging with Heterogenous Data Jianyu Wang
Workshop	Fri 13:48	On the Unreasonable Effectiveness of Federated Averaging with Heterogenous Data - Q&A
Poster	Thu 14:00	Staggered Rollout Designs Enable Causal Inference Under Interference Without Network Knowledge Mayleen Cortez · Matthew Eichhorn · Christina Yu
Poster	Tue 9:00	Sample Constrained Treatment Effect Estimation Raghavendra Addanki · David Arbour · Tung Mai · Cameron Musco · Anup Rao
Poster	Wed 9:00	Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects Estimation Ioana Bica · Mihaela van der Schaar
Poster	Tue 14:00	What's the Harm? Sharp Bounds on the Fraction Negatively Affected by Treatment Nathan Kallus
Poster	Thu 9:00	Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability Jonathan Crabbé · Alicia Curth · Ioana Bica · Mihaela van der Schaar
Workshop		Bounding the Effects of Continuous Treatments for Hidden Confounders Myrl Marmarelis · Greg Ver Steeg · Neda Jahanshad · Aram Galstyan
Poster		Generalization Bounds for Estimating Causal Effects of Continuous Treatments Xin Wang · Shengfei Lyu · Xingyu Wu · Tianhao Wu · Huanhuan Chen
Workshop		Exploring Transformer Backbones for Heterogeneous Treatment Effect Estimation yifan zhang · Hanlin Zhang · Zachary Lipton · Li Erran Li · Eric Xing
Poster	Wed 9:00	Debiased Machine Learning without Sample-Splitting for Stable Estimators Qizhao Chen · Vasilis Syrgkanis · Morgane Austern