Bayesian Nonparametric Causal Inference: Information Rates and Learning Algorithms

24 December 2017

Papers citing "Bayesian Nonparametric Causal Inference: Information Rates and Learning Algorithms"

8 / 8 papers shown

Title
Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner Valentyn Melnychuk Stefan Feuerriegel Mihaela van der Schaar CML 61 3 0 05 Nov 2024
New User Event Prediction Through the Lens of Causal Inference H. Yuchi Shixiang Zhu Li Dong Yigit M. Arisoy Matthew C. Spencer 50 0 0 08 Jul 2024
Differentiable Pareto-Smoothed Weighting for High-Dimensional Heterogeneous Treatment Effect Estimation Yoichi Chikahara Kansei Ushiyama 41 0 0 26 Apr 2024
Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel CML 37 9 0 19 Nov 2023
Conditional Distributional Treatment Effect with Kernel Conditional Mean Embeddings and U-Statistic Regression Junhyung Park Uri Shalit Bernhard Schölkopf Krikamol Muandet CML 21 31 0 16 Feb 2021
Causal Inference using Gaussian Processes with Structured Latent Confounders Sam Witty Kenta Takatsu David D. Jensen Vikash K. Mansinghka CML 15 19 0 14 Jul 2020
Deconfounding Reinforcement Learning in Observational Settings Chaochao Lu Bernhard Schölkopf José Miguel Hernández-Lobato CML OOD 39 73 0 26 Dec 2018
Learning Representations for Counterfactual Inference Fredrik D. Johansson Uri Shalit David Sontag CML OOD BDL 232 722 0 12 May 2016