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Poster
Tue 18:30 Learning Individually Fair Classifier with Path-Specific Causal-Effect Constraint
Yoichi Chikahara · Shinsaku Sakaue · Akinori Fujino · Hisashi Kashima
Poster
Tue 14:00 Designing Transportable Experiments Under S-admissability
My Phan · David Arbour · Drew Dimmery · Anup Rao
Poster
Wed 12:45 Efficient Balanced Treatment Assignments for Experimentation
David Arbour · Drew Dimmery · Anup Rao
Poster
Tue 18:30 Causal Modeling with Stochastic Confounders
Thanh Vinh Vo · Pengfei Wei · Wicher Bergsma · Tze Yun Leong
Poster
Tue 18:30 Bayesian Model Averaging for Causality Estimation and its Approximation based on Gaussian Scale Mixture Distributions
Shunsuke Horii
Poster
Tue 18:30 Regret Minimization for Causal Inference on Large Treatment Space
Akira Tanimoto · Tomoya Sakai · Takashi Takenouchi · Hisashi Kashima
Poster
Thu 7:30 High-Dimensional Feature Selection for Sample Efficient Treatment Effect Estimation
Kristjan Greenewald · Karthikeyan Shanmugam · Dmitriy Katz
Poster
Tue 18:30 Minimal enumeration of all possible total effects in a Markov equivalence class
Richard Guo · Emilija Perkovic
Poster
Tue 14:00 Regression Discontinuity Design under Self-selection
Sida Peng · Yang Ning
Poster
Tue 14:00 Differentiable Causal Discovery Under Unmeasured Confounding
Rohit Bhattacharya · Tushar Nagarajan · Daniel Malinsky · Ilya Shpitser
Poster
Wed 6:00 Nonparametric Estimation of Heterogeneous Treatment Effects: From Theory to Learning Algorithms
Alicia Curth · Mihaela van der Schaar
Poster
Wed 6:00 An Analysis of the Adaptation Speed of Causal Models
Remi Le Priol · Reza Babanezhad · Yoshua Bengio · Simon Lacoste-Julien