![[Causal Learning and Reasoning Logo]](/v275/assets/images/logo-pmlr.svg){kind=logo}
[edit]
Volume 275: Causal Learning and Reasoning, 7-9 May 2025, Lausanne, Switzerland
[edit]
Editors: Biwei Huang, Mathias Drton
Algorithmic syntactic causal identification
; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:1-14
Causal reasoning in difference graphs
; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:15-30
Causal Bandits without Graph Learning
; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:31-63
An Asymmetric Independence Model for Causal Discovery on Path Spaces
; 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
; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:90-113
Combining Causal Models for More Accurate Abstractions of Neural Networks
; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:114-138
Stabilized Inverse Probability Weighting via Isotonic Calibration
; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:139-173
Scalable Causal Structure Learning via Amortized Conditional Independence Testing
; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:174-200
Algorithmic causal structure emerging through compression
; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:201-242
Contagion Effect Estimation Using Proximal Embeddings
; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:243-259
Matchings, Predictions and Counterfactual Harm in Refugee Resettlement Processes
; 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
; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:292-339
Fair Clustering: A Causal Perspective
; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:340-358
Beyond Single-Feature Importance with ICECREAM
; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:359-389
Automatic debiasing of neural networks via moment-constrained learning
; 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
; 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
; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:451-489
Robust Multi-view Co-expression Network Inference
; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:490-513
Actual Causation and Nondeterministic Causal Models
; 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
; 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
; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:552-605
Interpretable Neural Causal Models with TRAM-DAGs
; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:606-630
Exact discovery is polynomial for certain sparse causal Bayesian networks
; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:631-658
Cross-validating causal discovery via Leave-One-Variable-Out
; 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
; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:693-703
Aligning Graphical and Functional Causal Abstractions
; 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
; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:731-756
Disparate Effect Of Missing Mediators On Transportability of Causal Effects
; 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
; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:772-791
Counterfactual Influence in Markov Decision Processes
; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:792-817
Omitted Labels Induce Nontransitive Paradoxes in Causality
; 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
; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:834-873
The Causal-Effect Score in Data Management
; 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
; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:894-919
Inducing Causal Structure Applied to Glucose Prediction for T1DM Patients
; 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
; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:947-990
Controlling for discrete unmeasured confounding in nonlinear causal models
; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:991-1015
Local Interference: Removing Interference Bias in Semi-Parametric Causal Models
; 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
; 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
; 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
; 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
; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:1147-1173
Counterfactual explanability of black-box prediction models
; 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
; 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
; 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
; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:1239-1267
Multi-Domain Causal Discovery in Bijective Causal Models
; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:1268-1289
Causal drivers of dynamic networks
; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:1290-1290
Counterfactual Token Generation in Large Language Models
; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:1291-1315
Selecting Accurate Subgraphical Models from Possibly Inaccurate Graphical Models
; 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
; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:1347-1364
Compositional Models for Estimating Causal Effects
; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:1365-1404
On Measuring Intrinsic Causal Attributions in Deep Neural Networks
; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:1405-1434
Causal Identification in Time Series Models
; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:1435-1449
Relational Object-Centric Actor-Critic
; 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
; 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
; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:1506-1531
Nondeterministic Causal Models
; Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR 275:1532-1554
subscribe via RSS