|
Affinity Event
|
|
Confounder-Agnostic Learning: Enhancing Robustness with Projected Gradient Descent
Sneha Chetani · Tatjana Chavdarova
|
|
|
Affinity Event
|
|
When to Act and When to Ask: Policy Learning With Deferral Under Hidden Confounding
Marah Ghoummaid · Uri Shalit
|
|
|
Poster
|
Fri 11:00
|
Identifiability Analysis of Linear ODE Systems with Hidden Confounders
Yuanyuan Wang · Biwei Huang · Wei Huang · Xi Geng · Mingming Gong
|
|
|
Poster
|
Fri 11:00
|
Data-faithful Feature Attribution: Mitigating Unobservable Confounders via Instrumental Variables
Qiheng Sun · Haocheng Xia · Jinfei Liu
|
|
|
Poster
|
Fri 11:00
|
Detecting and Measuring Confounding Using Causal Mechanism Shifts
Abbavaram Gowtham Reddy · Vineeth N Balasubramanian
|
|
|
Poster
|
|
A Non-parametric Direct Learning Approach to Heterogeneous Treatment Effect Estimation under Unmeasured Confounding
Xinhai Zhang · Xingye Qiao
|
|
|
Poster
|
|
Addressing Hidden Confounding with Heterogeneous Observational Datasets for Recommendation
Yanghao Xiao · Haoxuan Li · Yongqiang Tang · Wensheng Zhang
|
|
|
Poster
|
Fri 11:00
|
Towards Estimating Bounds on the Effect of Policies under Unobserved Confounding
Alexis Bellot · Silvia Chiappa
|
|
|
Poster
|
Thu 11:00
|
When to Act and When to Ask: Policy Learning With Deferral Under Hidden Confounding
Marah Ghoummaid · Uri Shalit
|
|
|
Workshop
|
|
Controlling for Unobserved Confounding with Large Language Model Classification of Patient Smoking Status
Samuel Lee · Zach Wood-Doughty
|
|
|
Workshop
|
|
Spectral Representation for Causal Estimation with Hidden Confounders
Tongzheng Ren · Haotian Sun · Antoine Moulin · Arthur Gretton · Bo Dai
|
|
|
Workshop
|
|
Training on the Test Task Confounds Evaluation and Emergence
Ricardo Dominguez-Olmedo · Florian E. Dorner · Moritz Hardt
|
|
