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Volume 236: Causal Learning and Reasoning, 1-3 April 2024, Los Angeles, California, USA
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Editors: Francesco Locatello, Vanessa Didelez
Dual Likelihood for Causal Inference under Structure Uncertainty
; Proceedings of the Third Conference on Causal Learning and Reasoning, PMLR 236:1-17
Ensembled Prediction Intervals for Causal Outcomes Under Hidden Confounding
; Proceedings of the Third Conference on Causal Learning and Reasoning, PMLR 236:18-40
An Interventional Perspective on Identifiability in Gaussian LTI Systems with Independent Component Analysis
; Proceedings of the Third Conference on Causal Learning and Reasoning, PMLR 236:41-70
Structure Learning with Continuous Optimization: A Sober Look and Beyond
; Proceedings of the Third Conference on Causal Learning and Reasoning, PMLR 236:71-105
Causal State Distillation for Explainable Reinforcement Learning
; Proceedings of the Third Conference on Causal Learning and Reasoning, PMLR 236:106-142
Cautionary Tales on Synthetic Controls in Survival Analyses
; Proceedings of the Third Conference on Causal Learning and Reasoning, PMLR 236:143-159
Finding Alignments Between Interpretable Causal Variables and Distributed Neural Representations
; Proceedings of the Third Conference on Causal Learning and Reasoning, PMLR 236:160-187
Fundamental Properties of Causal Entropy and Information Gain
; Proceedings of the Third Conference on Causal Learning and Reasoning, PMLR 236:188-208
Bicycle: Intervention-Based Causal Discovery with Cycles
; Proceedings of the Third Conference on Causal Learning and Reasoning, PMLR 236:209-242
Pragmatic Fairness: Developing Policies with Outcome Disparity Control
; Proceedings of the Third Conference on Causal Learning and Reasoning, PMLR 236:243-264
Extracting the Multiscale Causal Backbone of Brain Dynamics
; Proceedings of the Third Conference on Causal Learning and Reasoning, PMLR 236:265-295
Towards the Reusability and Compositionality of Causal Representations
; Proceedings of the Third Conference on Causal Learning and Reasoning, PMLR 236:296-324
Causal Discovery Under Local Privacy
; Proceedings of the Third Conference on Causal Learning and Reasoning, PMLR 236:325-383
On the Identifiability of Quantized Factors
; Proceedings of the Third Conference on Causal Learning and Reasoning, PMLR 236:384-422
Confounded Budgeted Causal Bandits
; Proceedings of the Third Conference on Causal Learning and Reasoning, PMLR 236:423-461
Causal Optimal Transport of Abstractions
; Proceedings of the Third Conference on Causal Learning and Reasoning, PMLR 236:462-498
Implicit and Explicit Policy Constraints for Offline Reinforcement Learning
; Proceedings of the Third Conference on Causal Learning and Reasoning, PMLR 236:499-513
On the Lasso for Graphical Continuous Lyapunov Models
; Proceedings of the Third Conference on Causal Learning and Reasoning, PMLR 236:514-550
Evaluating and Correcting Performative Effects of Decision Support Systems via Causal Domain Shift
; Proceedings of the Third Conference on Causal Learning and Reasoning, PMLR 236:551-569
On the Impact of Neighbourhood Sampling to Satisfy Sufficiency and Necessity Criteria in Explainable AI
; Proceedings of the Third Conference on Causal Learning and Reasoning, PMLR 236:570-586
Designing monitoring strategies for deployed machine learning algorithms: navigating performativity through a causal lens
; Proceedings of the Third Conference on Causal Learning and Reasoning, PMLR 236:587-608
`causalAssembly`: Generating Realistic Production Data for Benchmarking Causal Discovery
; Proceedings of the Third Conference on Causal Learning and Reasoning, PMLR 236:609-642
Expediting Reinforcement Learning by Incorporating Knowledge About Temporal Causality in the Environment
; Proceedings of the Third Conference on Causal Learning and Reasoning, PMLR 236:643-664
Causality for Functional Longitudinal Data
; Proceedings of the Third Conference on Causal Learning and Reasoning, PMLR 236:665-687
Causal Matching using Random Hyperplane Tessellations
; Proceedings of the Third Conference on Causal Learning and Reasoning, PMLR 236:688-702
Robustness of Algorithms for Causal Structure Learning to Hyperparameter Choice
; Proceedings of the Third Conference on Causal Learning and Reasoning, PMLR 236:703-739
DiConStruct: Causal Concept-based Explanations through Black-Box Distillation
; Proceedings of the Third Conference on Causal Learning and Reasoning, PMLR 236:740-768
A causality-inspired plus-minus model for player evaluation in team sports
; Proceedings of the Third Conference on Causal Learning and Reasoning, PMLR 236:769-792
Inference of nonlinear causal effects with application to TWAS with GWAS summary data
; Proceedings of the Third Conference on Causal Learning and Reasoning, PMLR 236:793-826
Lifted Causal Inference in Relational Domains
; Proceedings of the Third Conference on Causal Learning and Reasoning, PMLR 236:827-842
Identifying Linearly-Mixed Causal Representations from Multi-Node Interventions
; Proceedings of the Third Conference on Causal Learning and Reasoning, PMLR 236:843-867
Toward the Identifiability of Comparative Deep Generative Models
; Proceedings of the Third Conference on Causal Learning and Reasoning, PMLR 236:868-912
Estimating the Causal Effect of Early ArXiving on Paper Acceptance
; Proceedings of the Third Conference on Causal Learning and Reasoning, PMLR 236:913-933
Sequential Deconfounding for Causal Inference with Unobserved Confounders
; Proceedings of the Third Conference on Causal Learning and Reasoning, PMLR 236:934-956
The PetShop Dataset — Finding Causes of Performance Issues across Microservices
; Proceedings of the Third Conference on Causal Learning and Reasoning, PMLR 236:957-978
Bootstrap aggregation and confidence measures to improve time series causal discovery
; Proceedings of the Third Conference on Causal Learning and Reasoning, PMLR 236:979-1007
Low-Rank Approximation of Structural Redundancy for Self-Supervised Learning
; Proceedings of the Third Conference on Causal Learning and Reasoning, PMLR 236:1008-1032
Semiparametric Efficient Inference in Adaptive Experiments
; Proceedings of the Third Conference on Causal Learning and Reasoning, PMLR 236:1033-1064
Hyperparameter Tuning for Causal Inference with Double Machine Learning: A Simulation Study
; Proceedings of the Third Conference on Causal Learning and Reasoning, PMLR 236:1065-1117
Scalable Counterfactual Distribution Estimation in Multivariate Causal Models
; Proceedings of the Third Conference on Causal Learning and Reasoning, PMLR 236:1118-1140
Causal Imputation for Counterfactual SCMs: Bridging Graphs and Latent Factor Models
; Proceedings of the Third Conference on Causal Learning and Reasoning, PMLR 236:1141-1175
Causal Layering via Conditional Entropy
; Proceedings of the Third Conference on Causal Learning and Reasoning, PMLR 236:1176-1191
Meaningful Causal Aggregation and Paradoxical Confounding
; Proceedings of the Third Conference on Causal Learning and Reasoning, PMLR 236:1192-1217
Causal discovery in a complex industrial system: A time series benchmark
; Proceedings of the Third Conference on Causal Learning and Reasoning, PMLR 236:1218-1236
Causal Discovery with Mixed Linear and Nonlinear Additive Noise Models: A Scalable Approach
; Proceedings of the Third Conference on Causal Learning and Reasoning, PMLR 236:1237-1263
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