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Volume 213: Conference on Causal Learning and Reasoning, 11-14 April 2023, Amazon Development Center, Tübingen, Germany
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Editors: Mihaela van der Schaar, Cheng Zhang, Dominik Janzing
Oral
An Algorithm and Complexity Results for Causal Unit Selection
; Proceedings of the Second Conference on Causal Learning and Reasoning, PMLR 213:1-26
Directed Graphical Models and Causal Discovery for Zero-Inflated Data
; Proceedings of the Second Conference on Causal Learning and Reasoning, PMLR 213:27-67
Causal Abstraction with Soft Interventions
; Proceedings of the Second Conference on Causal Learning and Reasoning, PMLR 213:68-87
Jointly Learning Consistent Causal Abstractions Over Multiple Interventional Distributions
; Proceedings of the Second Conference on Causal Learning and Reasoning, PMLR 213:88-121
Distinguishing Cause from Effect on Categorical Data: The Uniform Channel Model
; Proceedings of the Second Conference on Causal Learning and Reasoning, PMLR 213:122-141
Stochastic Causal Programming for Bounding Treatment Effects
; Proceedings of the Second Conference on Causal Learning and Reasoning, PMLR 213:142-176
Backtracking Counterfactuals
; Proceedings of the Second Conference on Causal Learning and Reasoning, PMLR 213:177-196
Generalizing Clinical Trials with Convex Hulls
; Proceedings of the Second Conference on Causal Learning and Reasoning, PMLR 213:197-221
Poster
Leveraging Causal Graphs for Blocking in Randomized Experiments
; Proceedings of the Second Conference on Causal Learning and Reasoning, PMLR 213:222-242
Enhancing Causal Discovery from Robot Sensor Data in Dynamic Scenarios
; Proceedings of the Second Conference on Causal Learning and Reasoning, PMLR 213:243-258
Practical Algorithms for Orientations of Partially Directed Graphical Models
; Proceedings of the Second Conference on Causal Learning and Reasoning, PMLR 213:259-280
Unsupervised Object Learning via Common Fate
; Proceedings of the Second Conference on Causal Learning and Reasoning, PMLR 213:281-327
On the Interventional Kullback-Leibler Divergence
; Proceedings of the Second Conference on Causal Learning and Reasoning, PMLR 213:328-349
Factual Observation Based Heterogeneity Learning for Counterfactual Prediction
; Proceedings of the Second Conference on Causal Learning and Reasoning, PMLR 213:350-370
Causal Inference under Interference and Model Uncertainty
; Proceedings of the Second Conference on Causal Learning and Reasoning, PMLR 213:371-385
Can Active Sampling Reduce Causal Confusion in Offline Reinforcement Learning?
; Proceedings of the Second Conference on Causal Learning and Reasoning, PMLR 213:386-407
Local Causal Discovery for Estimating Causal Effects
; Proceedings of the Second Conference on Causal Learning and Reasoning, PMLR 213:408-447
On Discovery of Local Independence over Continuous Variables via Neural Contextual Decomposition
; Proceedings of the Second Conference on Causal Learning and Reasoning, PMLR 213:448-472
Evaluating Temporal Observation-Based Causal Discovery Techniques Applied to Road Driver Behaviour
; Proceedings of the Second Conference on Causal Learning and Reasoning, PMLR 213:473-498
Influence-Aware Attention for Multivariate Temporal Point Processes
; Proceedings of the Second Conference on Causal Learning and Reasoning, PMLR 213:499-517
Causal Learning through Deliberate Undersampling
; Proceedings of the Second Conference on Causal Learning and Reasoning, PMLR 213:518-530
Image-based Treatment Effect Heterogeneity
; Proceedings of the Second Conference on Causal Learning and Reasoning, PMLR 213:531-552
Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning
; Proceedings of the Second Conference on Causal Learning and Reasoning, PMLR 213:553-573
Causal Inference Despite Limited Global Confounding via Mixture Models
; Proceedings of the Second Conference on Causal Learning and Reasoning, PMLR 213:574-601
A Meta-Reinforcement Learning Algorithm for Causal Discovery
; Proceedings of the Second Conference on Causal Learning and Reasoning, PMLR 213:602-619
Instrumental Processes Using Integrated Covariances
; Proceedings of the Second Conference on Causal Learning and Reasoning, PMLR 213:620-641
Branch-Price-and-Cut for Causal Discovery
; Proceedings of the Second Conference on Causal Learning and Reasoning, PMLR 213:642-661
Learning Causal Representations of Single Cells via Sparse Mechanism Shift Modeling
; Proceedings of the Second Conference on Causal Learning and Reasoning, PMLR 213:662-691
Learning Conditional Granger Causal Temporal Networks
; Proceedings of the Second Conference on Causal Learning and Reasoning, PMLR 213:692-706
Beyond the Markov Equivalence Class: Extending Causal Discovery under Latent Confounding
; Proceedings of the Second Conference on Causal Learning and Reasoning, PMLR 213:707-725
Causal Discovery with Score Matching on Additive Models with Arbitrary Noise
; Proceedings of the Second Conference on Causal Learning and Reasoning, PMLR 213:726-751
Scalable Causal Discovery with Score Matching
; Proceedings of the Second Conference on Causal Learning and Reasoning, PMLR 213:752-771
Local Dependence Graphs for Discrete Time Processes
; Proceedings of the Second Conference on Causal Learning and Reasoning, PMLR 213:772-790
Estimating long-term causal effects from short-term experiments and long-term observational data with unobserved confounding
; Proceedings of the Second Conference on Causal Learning and Reasoning, PMLR 213:791-813
Factorization of the Partial Covariance in Singly-Connected Path Diagrams
; Proceedings of the Second Conference on Causal Learning and Reasoning, PMLR 213:814-849
Non-parametric identifiability and sensitivity analysis of synthetic control models
; Proceedings of the Second Conference on Causal Learning and Reasoning, PMLR 213:850-865
Causal Models with Constraints
; Proceedings of the Second Conference on Causal Learning and Reasoning, PMLR 213:866-879
Causal Discovery for Non-stationary Non-linear Time Series Data Using Just-In-Time Modeling
; Proceedings of the Second Conference on Causal Learning and Reasoning, PMLR 213:880-894
Sample-Specific Root Causal Inference with Latent Variables
; Proceedings of the Second Conference on Causal Learning and Reasoning, PMLR 213:895-915
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