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Editors: Biwei Huang, Mathias Drton
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Algorithmic syntactic causal identification
; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:1-14
Causal reasoning in difference graphs
Charles K. Assaad; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:15-30
Causal Bandits without Graph Learning
Mikhail Konobeev, Jalal Etesami, Negar Kiyavash; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:31-63
An Asymmetric Independence Model for Causal Discovery on Path Spaces
Georg Manten, Cecilia Casolo, Søren Wengel Mogensen, Niki Kilbertus; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:64-89
The Probability of Tiered Benefit: Partial Identification with Robust and Stable Inference
Johan de Aguas, Sebastian Krumscheid, Johan Pensar, Guido Biele; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:90-113
Combining Causal Models for More Accurate Abstractions of Neural Networks
Theodora-Mara Pîslar, Sara Magliacane, Atticus Geiger; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:114-138
Stabilized Inverse Probability Weighting via Isotonic Calibration
Lars van der Laan, Ziming Lin, Marco Carone, Alex Luedtke; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:139-173
Scalable Causal Structure Learning via Amortized Conditional Independence Testing
James Leiner, Brian Manzo, Aaditya Ramdas, Wesley Tansey; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:174-200
Algorithmic causal structure emerging through compression
Liang Wendong, Simon Buchholz, Bernhard Schölkopf; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:201-242
Contagion Effect Estimation Using Proximal Embeddings
Zahra Fatemi, Elena Zheleva; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:243-259
Matchings, Predictions and Counterfactual Harm in Refugee Resettlement Processes
Seungeon Lee, Nina L. Corvelo Benz, Suhas Thejaswi, Manuel Gomez-Rodriguez; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:260-291
Shapley-PC: Constraint-based Causal Structure Learning with a Shapley Inspired Framework
Fabrizio Russo, Francesca Toni; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:292-339
Fair Clustering: A Causal Perspective
Fritz Bayer, Drago Plečko, Niko Beerenwinkel, Jack Kuipers; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:340-358
Beyond Single-Feature Importance with ICECREAM
Michael Oesterle, Patrick Blöbaum, Atalanti A. Mastakouri, Elke Kirschbaum; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:359-389
Automatic debiasing of neural networks via moment-constrained learning
Christian L. Hines, Oliver J. Hines; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:390-405
Non-parametric Conditional Independence Testing for Mixed Continuous-Categorical Variables: A Novel Method and Numerical Evaluation
Oana-Iuliana Popescu, Andreas Gerhardus, Martin Rabel, Jakob Runge; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:406-450
Encode-Decoder-based GAN for Estimating Counterfactual Outcomes under Sequential Selection Bias and Combinatorial Explosion
Yoshiyuki Norimatsu, Masaaki Imaizumi; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:451-489
Robust Multi-view Co-expression Network Inference
Teodora Pandeva, Martijs Johannes Jonker, Leendert Hamoen, Joris Mooij, Patrick Forré; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:490-513
Actual Causation and Nondeterministic Causal Models
Sander Beckers; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:514-532
The CausalBench challenge: A machine learning contest for gene network inference from single-cell perturbation data
Mathieu Chevalley, Jacob Sackett-Sanders, Yusuf H Roohani, Pascal Notin, Artemy Bakulin, Dariusz Brzezinski, Kaiwen Deng, Yuanfang Guan, Justin Hong, Michael Ibrahim, Wojciech Kotlowski, Marcin Kowiel, Panagiotis Misiakos, Achille Nazaret, Markus Püschel, Chris Wendler, Arash Mehrjou, Patrick Schwab; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:533-551
Score matching through the roof: linear, nonlinear, and latent variables causal discovery
Francesco Montagna, Philipp Michael Faller, Patrick Blöbaum, Elke Kirschbaum, Francesco Locatello; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:552-605
Interpretable Neural Causal Models with TRAM-DAGs
Beate Sick, Oliver Dürr; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:606-630
Exact discovery is polynomial for certain sparse causal Bayesian networks
Felix Leopoldo Rios, Giusi Moffa, Jack Kuipers; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:631-658
Cross-validating causal discovery via Leave-One-Variable-Out
Daniela Schkoda, Philipp Michael Faller, Dominik Janzing, Patrick Blöbaum; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:659-692
Bounds and Sensitivity Analysis of the Causal Effect Under Outcome-Independent MNAR Confounding
Jose Peña; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:693-703
Aligning Graphical and Functional Causal Abstractions
Willem Schooltink, Fabio Massimo Zennaro; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:704-730
Transfer learning in latent contextual bandits with covariate shift through causal transportability
Mingwei Deng, Ville Kyrki, Dominik Baumann; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:731-756
Disparate Effect Of Missing Mediators On Transportability of Causal Effects
Vishwali Mhasawade, Rumi Chunara; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:757-771
The interventional Bayesian Gaussian equivalent score for Bayesian causal inference with unknown soft interventions
Jack Kuipers, Giusi Moffa; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:772-791
Counterfactual Influence in Markov Decision Processes
Milad Kazemi, Jessica Lally, Ekaterina Tishchenko, Hana Chockler, Nicola Paoletti; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:792-817
Omitted Labels Induce Nontransitive Paradoxes in Causality
Bijan Mazaheri, Siddharth Jain, Matthew Cook, Jehoshua Bruck; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:818-833
The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications
Philippe Brouillard, Chandler Squires, Jonas Wahl, Konrad K"ording, Karen Sachs, Alexandre Drouin, Dhanya Sridhar; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:834-873
The Causal-Effect Score in Data Management
Felipe Azúa, Leopoldo Bertossi; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:874-893
Optimizing Multi-Scale Representations to Detect Effect Heterogeneity Using Earth Observation and Computer Vision: Applications to Two Anti-Poverty RCTs
Fucheng Warren Zhu, Connor Thomas Jerzak, Adel Daoud; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:894-919
Inducing Causal Structure Applied to Glucose Prediction for T1DM Patients
Ana Esponera, Giovanni Cinà; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:920-946
AGM-TE: Approximate Generative Model Estimator of Transfer Entropy for Causal Discovery
Daniel Kornai, Ricardo Silva, Nikolaos Nikolaou; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:947-990
Controlling for discrete unmeasured confounding in nonlinear causal models
Patrick Burauel, Frederick Eberhardt, Michel Besserve; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:991-1015
Local Interference: Removing Interference Bias in Semi-Parametric Causal Models
Michael O’Riordan, Ciarán Mark Gilligan-Lee; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:1016-1031
Probably approximately correct high-dimensional causal effect estimation given a valid adjustment set
Davin Choo, Chandler Squires, Arnab Bhattacharyya, David Sontag; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:1032-1085
Beyond Flatland: A Geometric Take on Matching Methods for Treatment Effect Estimation
Melanie F. Pradier, Javier González; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:1086-1115
Constraint-based causal discovery with tiered background knowledge and latent variables in single or overlapping datasets
Christine W. Bang, Vanessa Didelez; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:1116-1146
Network Causal Effect Estimation In Graphical Models Of Contagion And Latent Confounding
Yufeng Wu, Rohit Bhattacharya; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:1147-1173
Counterfactual explanability of black-box prediction models
Zijun Gao, Qingyuan Zhao; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:1174-1174
MXMap: A Multivariate Cross Mapping Framework for Causal Discovery in Dynamical Systems
Elise Zhang, François Mirallès, Raphaël Rousseau-Rizzi, Arnaud Zinflou, Di Wu, Benoit Boulet; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:1175-1216
Sample Complexity of Nonparametric Closeness Testing for Continuous Distributions and Its Application to Causal Discovery with Hidden Confounding
Fateme Jamshidi, Sina Akbari, Negar Kiyavash; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:1217-1238
Your Assumed DAG is Wrong And Here’s How To Deal With It
Kirtan Padh, Zhufeng Li, Cecilia Casolo, Niki Kilbertus; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:1239-1267
Multi-Domain Causal Discovery in Bijective Causal Models
Kasra Jalaldoust, Saber Salehkaleybar, Negar Kiyavash; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:1268-1289
Causal drivers of dynamic networks
Melania Lembo, Ester Riccardi, Veronica Vinciotti, Ernst C. Wit; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:1290-1290
Counterfactual Token Generation in Large Language Models
Ivi Chatzi, Nina L. Corvelo Benz, Eleni Straitouri, Stratis Tsirtsis, Manuel Gomez-Rodriguez; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:1291-1315
Selecting Accurate Subgraphical Models from Possibly Inaccurate Graphical Models
Yi Han, Joseph Ramsey, Peter Spirtes; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:1316-1346
Temporal Inverse Probability Weighting for Causal Discovery in Controlled Before–After Studies: Discovering ADEs in Generics
Aubrey Barnard, Peggy L. Peissig, David Page; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:1347-1364
Compositional Models for Estimating Causal Effects
Purva Pruthi, David Jensen; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:1365-1404
On Measuring Intrinsic Causal Attributions in Deep Neural Networks
Saptarshi Saha, Dhruv Vansraj Rathore, Soumadeep Saha, David Doermann, Utpal Garain; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:1405-1434
Causal Identification in Time Series Models
Erik L Jahn, Karthik Karnik, Leonard Schulman; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:1435-1449
Relational Object-Centric Actor-Critic
Leonid Anatolievich Ugadiarov, Vitaliy Vorobyov, Aleksandr Panov; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:1450-1476
Extending Structural Causal Models for Autonomous Vehicles to Simplify Temporal System Construction & Enable Dynamic Interactions Between Agents
Rhys Peter Matthew Howard, Lars Kunze; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:1477-1505
Unitless Unrestricted Markov-Consistent SCM Generation: Better Benchmark Datasets for Causal Discovery
Rebecca J. Herman, Jonas Wahl, Urmi Ninad, Jakob Runge; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:1506-1531
Nondeterministic Causal Models
Sander Beckers; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:1532-1554
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