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20 Results

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Poster
Tue 14:00 SelecMix: Debiased Learning by Contradicting-pair Sampling
Inwoo Hwang · Sangjun Lee · Yunhyeok Kwak · Seong Joon Oh · Damien Teney · Jin-Hwa Kim · Byoung-Tak Zhang
Poster
Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure
Shaohua Fan · Xiao Wang · Yanhu Mo · Chuan Shi · Jian Tang
Poster
Wed 9:00 A Reduction to Binary Approach for Debiasing Multiclass Datasets
Ibrahim Alabdulmohsin · Jessica Schrouff · Sanmi Koyejo
Poster
Thu 9:00 Learning Debiased Classifier with Biased Committee
Nayeong Kim · SEHYUN HWANG · Sungsoo Ahn · Jaesik Park · Suha Kwak
Poster
Wed 14:00 Debiased Self-Training for Semi-Supervised Learning
Baixu Chen · Junguang Jiang · Ximei Wang · Pengfei Wan · Jianmin Wang · Mingsheng Long
Poster
Wed 14:00 GraphDE: A Generative Framework for Debiased Learning and Out-of-Distribution Detection on Graphs
Zenan Li · Qitian Wu · Fan Nie · Junchi Yan
Poster
Wed 9:00 Adaptive Data Debiasing through Bounded Exploration
Yifan Yang · Yang Liu · Parinaz Naghizadeh
Poster
Thu 14:00 Off-Policy Evaluation with Policy-Dependent Optimization Response
Wenshuo Guo · Michael Jordan · Angela Zhou
Poster
Thu 9:00 DeepMed: Semiparametric Causal Mediation Analysis with Debiased Deep Learning
Siqi Xu · Lin Liu · Zhonghua Liu
Poster
Tue 9:00 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
Poster
Tue 14:00 What's the Harm? Sharp Bounds on the Fraction Negatively Affected by Treatment
Nathan Kallus
Poster
Wed 9:00 Debiased Machine Learning without Sample-Splitting for Stable Estimators
Qizhao Chen · Vasilis Syrgkanis · Morgane Austern