Scalable Sensitivity and Uncertainty Analysis for Causal-Effect
Estimates of Continuous-Valued Interventions

Scalable Sensitivity and Uncertainty Analysis for Causal-Effect Estimates of Continuous-Valued Interventions

21 April 2022

Papers citing "Scalable Sensitivity and Uncertainty Analysis for Causal-Effect Estimates of Continuous-Valued Interventions"

19 / 19 papers shown

Title
Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner Valentyn Melnychuk Stefan Feuerriegel M. Schaar CML 54 2 0 05 Nov 2024
Detecting and Measuring Confounding Using Causal Mechanism Shifts Abbavaram Gowtham Reddy Vineeth N Balasubramanian CML 41 1 0 26 Sep 2024
Causal Machine Learning for Cost-Effective Allocation of Development Aid Milan Kuzmanovic Dennis Frauen Tobias Hatt Stefan Feuerriegel 29 6 0 30 Jan 2024
Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing Lokesh Nagalapatti Akshay Iyer Abir De Sunita Sarawagi CML 27 7 0 27 Jan 2024
A Neural Framework for Generalized Causal Sensitivity Analysis Dennis Frauen F. Imrie Alicia Curth Valentyn Melnychuk Stefan Feuerriegel M. Schaar CML 31 10 0 27 Nov 2023
PWSHAP: A Path-Wise Explanation Model for Targeted Variables Lucile Ter-Minassian Oscar Clivio Karla Diaz-Ordaz R. Evans Chris Holmes 26 1 0 26 Jun 2023
Ensembled Prediction Intervals for Causal Outcomes Under Hidden Confounding Myrl G. Marmarelis Greg Ver Steeg Aram Galstyan Fred Morstatter CML OOD 16 5 0 15 Jun 2023
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel 19 11 0 02 Jun 2023
Reliable Off-Policy Learning for Dosage Combinations J. Schweisthal Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel OffRL 24 11 0 31 May 2023
Sharp Bounds for Generalized Causal Sensitivity Analysis Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel CML 33 18 0 26 May 2023
Pretrained Vision Models for Predicting High-Risk Breast Cancer Stage Bonaventure F. P. Dossou Yeno K. S. Gbenou Miglanche Ghomsi Nono 24 2 0 19 Mar 2023
Robust Fitted-Q-Evaluation and Iteration under Sequentially Exogenous Unobserved Confounders David Bruns-Smith Angela Zhou OffRL 18 9 0 01 Feb 2023
Using uncertainty-aware machine learning models to study aerosol-cloud interactions Maelys Solal Andrew Jesson Y. Gal A. Douglas 16 0 0 30 Nov 2022
Deep Causal Learning: Representation, Discovery and Inference Zizhen Deng Xiaolong Zheng Hu Tian D. Zeng CML BDL 36 11 0 07 Nov 2022
Time Series Causal Link Estimation under Hidden Confounding using Knockoff Interventions V. T. Trifunov M. Shadaydeh Joachim Denzler CML BDL 26 3 0 23 Sep 2022
Normalizing Flows for Interventional Density Estimation Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel 50 18 0 13 Sep 2022
AODisaggregation: toward global aerosol vertical profiles S. Bouabid D. Watson‐Parris Sofija Stefanović A. Nenes Dino Sejdinovic 24 0 0 06 May 2022
Partial Identification of Dose Responses with Hidden Confounders Myrl G. Marmarelis E. Haddad Andrew Jesson N. Jahanshad Aram Galstyan Greg Ver Steeg CML 33 7 0 24 Apr 2022
Stochastic Causal Programming for Bounding Treatment Effects Kirtan Padh Jakob Zeitler David S. Watson Matt J. Kusner Ricardo M. A. Silva Niki Kilbertus CML 30 26 0 22 Feb 2022