Papers
132 papers found
$\texttt{causalAssembly}$: Generating Realistic Production Data for Benchmarking Causal Discovery
Konstantin Göbler, Tobias Windisch, Mathias Drton et al.
A causality-inspired plus-minus model for player evaluation in team sports
Caterina De Bacco, Yixin Wang, David Blei
An Interventional Perspective on Identifiability in Gaussian LTI Systems with Independent Component Analysis
Goutham Rajendran, Patrik Reizinger, Wieland Brendel et al.
Bicycle: Intervention-Based Causal Discovery with Cycles
Martin Rohbeck, Brian Clarke, Katharina Mikulik et al.
Bootstrap aggregation and confidence measures to improve time series causal discovery
Kevin Debeire, Andreas Gerhardus, Jakob Runge et al.
Causal discovery in a complex industrial system: A time series benchmark
Søren Wengel Mogensen, Karin Rathsman, Per Nilsson
Causal Discovery Under Local Privacy
Ruta Binkyte, Carlos Antonio Pinzón, Szilvia Lestyán et al.
Causal Discovery with Mixed Linear and Nonlinear Additive Noise Models: A Scalable Approach
Wenqin Liu, Biwei Huang, Erdun Gao et al.
Causal Imputation for Counterfactual SCMs: Bridging Graphs and Latent Factor Models
Álvaro Ribot, Chandler Squires, Caroline Uhler
Causality for Functional Longitudinal Data
Andrew Ying
Causal Layering via Conditional Entropy
Itai Feigenbaum, Devansh Arpit, Shelby Heinecke et al.
Causal Matching using Random Hyperplane Tessellations
Abhishek Dalvi, Neil Ashtekar, Vasant G Honavar
Causal Optimal Transport of Abstractions
Yorgos Felekis, Fabio Massimo Zennaro, Nicola Branchini et al.
Causal State Distillation for Explainable Reinforcement Learning
Wenhao Lu, Xufeng Zhao, Thilo Fryen et al.
Cautionary Tales on Synthetic Controls in Survival Analyses
Alicia Curth, Hoifung Poon, Aditya V. Nori et al.
Confounded Budgeted Causal Bandits
Fateme Jamshidi, Jalal Etesami, Negar Kiyavash
Designing monitoring strategies for deployed machine learning algorithms: navigating performativity through a causal lens
Jean Feng, Adarsh Subbaswamy, Alexej Gossmann et al.
DiConStruct: Causal Concept-based Explanations through Black-Box Distillation
Ricardo Miguel de Oliveira Moreira, Jacopo Bono, Mário Cardoso et al.
Dual Likelihood for Causal Inference under Structure Uncertainty
David Strieder, Mathias Drton
Ensembled Prediction Intervals for Causal Outcomes Under Hidden Confounding
Myrl G. Marmarelis, Greg Ver Steeg, Aram Galstyan et al.
Estimating the Causal Effect of Early ArXiving on Paper Acceptance
Yanai Elazar, Jiayao Zhang, David Wadden et al.
Evaluating and Correcting Performative Effects of Decision Support Systems via Causal Domain Shift
Philip Boeken, Onno Zoeter, Joris Mooij
Expediting Reinforcement Learning by Incorporating Knowledge About Temporal Causality in the Environment
Jan Corazza, Hadi Partovi Aria, Daniel Neider et al.
Extracting the Multiscale Causal Backbone of Brain Dynamics
Gabriele D\textsc\char13Acunto, Francesco Bonchi, Gianmarco De Francisci Morales et al.
Finding Alignments Between Interpretable Causal Variables and Distributed Neural Representations
Atticus Geiger, Zhengxuan Wu, Christopher Potts et al.