Browse State-of-the-Art › Causal Inference › Papers, page 15
Causal Inference
Papers archive 2025-07-28
archive papers tagged: 1,722 · with a code link: 575 · where Syntology ran a sample: 139 (116 with a run with no instrument failure, 23 where every run was a failure of Syntology's instrument) Syntology
Show: all tagged papersonly where code ran (139 of 1,722 tagged: 116 with a run with no instrument failure, 23 where every run was a failure of Syntology's instrument)
Page 15 of 18: papers 1,401 to 1,500 of 1,722, in archive order: by repositories listed in the archive (most first), then newest first, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers that list no repository come after every paper that lists one.
Papers without a page here are shown as plain text. A Syntology line reads “N ran (of which C constructed an object rather than computing a result; K with no instrument failure: H honoured, V violated, P with no contract checked; I where Syntology's instrument failed) · U unverified”; the figure “where Syntology's instrument failed” counts failures of Syntology's instrument, not of the code. When the archive marks a repository official for the paper, the line starts with that repository's state (the archive's flag, not a verdict on who wrote the code); hover it for the repositories the samples that ran came from. Abstracts are on each paper's page.
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Intact-VAE: Estimating Treatment Effects under Unobserved Confounding17 Jan 2021 0 repositories listed
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Entropic Causal Inference: Identifiability and Finite Sample Results10 Jan 2021 0 repositories listed
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A design of human-like robust AI machines in object identification7 Jan 2021 0 repositories listed
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The Value Added of Machine Learning to Causal Inference: Evidence from Revisited Studies4 Jan 2021 0 repositories listed
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Causal Probabilistic Spatio-temporal Fusion Transformers in Two-sided Ride-Hailing Markets1 Jan 2021 0 repositories listed
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Counterfactual Thinking for Long-tailed Information Extraction1 Jan 2021 0 repositories listed
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Estimating Treatment Effects via Orthogonal Regularization1 Jan 2021 0 repositories listed
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Invariant Representations for Reinforcement Learning without Reconstruction1 Jan 2021 0 repositories listed
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Latent Convergent Cross Mapping1 Jan 2021 0 repositories listed
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Variational Deterministic Uncertainty Quantification1 Jan 2021 0 repositories listed
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The wealth of nations and the health of populations: A quasi-experimental design of the impact of sovereign debt crises on child mortality29 Dec 2020 0 repositories listed
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Causal Inference from Slowly Varying Nonstationary Processes23 Dec 2020 0 repositories listed
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A Computational Framework for Solving Nonlinear Binary OptimizationProblems in Robust Causal Inference22 Dec 2020 0 repositories listed
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Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem19 Dec 2020 0 repositories listed
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Affirmative Algorithms: The Legal Grounds for Fairness as Awareness18 Dec 2020 0 repositories listed
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MASSIVE: Tractable and Robust Bayesian Learning of Many-Dimensional Instrumental Variable Models18 Dec 2020 0 repositories listed
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Causality-Aware Neighborhood Methods for Recommender Systems17 Dec 2020 0 repositories listed
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Analysing the Direction of Emotional Influence in Nonverbal Dyadic Communication: A Facial-Expression Study16 Dec 2020 0 repositories listed
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Warped Gaussian Processes in Remote Sensing Parameter Estimation and Causal Inference9 Dec 2020 0 repositories listed
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Causal Inference in Geoscience and Remote Sensing from Observational Data7 Dec 2020 0 repositories listed
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Causal Inference in Geosciences with Kernel Sensitivity Maps7 Dec 2020 0 repositories listed
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Optimal Policy Trees3 Dec 2020 0 repositories listed
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On Variational Inference for User Modeling in Attribute-Driven Collaborative Filtering2 Dec 2020 0 repositories listed
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General Transportability of Soft Interventions: Completeness Results1 Dec 2020 0 repositories listed
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Learning Causal Effects via Weighted Empirical Risk Minimization1 Dec 2020 0 repositories listed
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RealCause: Realistic Causal Inference Benchmarking30 Nov 2020 0 repositories listed
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Causal inference using deep neural networks25 Nov 2020 0 repositories listed
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Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder24 Nov 2020 0 repositories listed
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A scoping review of causal methods enabling predictions under hypothetical interventions19 Nov 2020 0 repositories listed
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Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions11 Nov 2020 0 repositories listed
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Incorporating Causal Effects into Deep Learning Predictions on EHR Data11 Nov 2020 0 repositories listed
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Doubly Robust Off-Policy Learning on Low-Dimensional Manifolds by Deep Neural Networks3 Nov 2020 0 repositories listed
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High-Dimensional Feature Selection for Sample Efficient Treatment Effect Estimation3 Nov 2020 0 repositories listed
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Exploring Logically Dependent Multi-task Learning with Causal Inference1 Nov 2020 0 repositories listed
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Structural Causal Model with Expert Augmented Knowledge to Estimate the Effect of Oxygen Therapy on Mortality in the ICU28 Oct 2020 0 repositories listed
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CaM-Gen:Causally-aware Metric-guided Text Generation24 Oct 2020 0 repositories listed
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Counterfactual Representation Learning with Balancing Weights23 Oct 2020 0 repositories listed
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Interpretable Machine Learning -- A Brief History, State-of-the-Art and Challenges19 Oct 2020 0 repositories listed
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Causal Inference in the Presence of Interference in Sponsored Search Advertising15 Oct 2020 0 repositories listed
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Causal Multi-Level Fairness14 Oct 2020 0 repositories listed
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Causal Feature Selection with Dimension Reduction for Interpretable Text Classification9 Oct 2020 0 repositories listed
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The Adaptive Doubly Robust Estimator for Policy Evaluation in Adaptive Experiments and a Paradox Concerning Logging Policy8 Oct 2020 0 repositories listed
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Entropic Causal Inference for Neurological Applications8 Oct 2020 0 repositories listed
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How and Why to Use Experimental Data to Evaluate Methods for Observational Causal Inference6 Oct 2020 0 repositories listed
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Targeted VAE: Structured Inference and Targeted Learning for Causal Parameter Estimation28 Sep 2020 0 repositories listed
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26 Sep 2020 0 repositories listed
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Adjusting for Confounders with Text: Challenges and an Empirical Evaluation Framework for Causal Inference21 Sep 2020 0 repositories listed
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Latent State Inference in a Spatiotemporal Generative Model21 Sep 2020 0 repositories listed
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Chemical Property Prediction Under Experimental Biases18 Sep 2020 0 repositories listed
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Counterfactual Explanation and Causal Inference in Service of Robustness in Robot Control18 Sep 2020 0 repositories listed
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Causal Inference of General Treatment Effects using Neural Networks with A Diverging Number of Confounders15 Sep 2020 0 repositories listed
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Matching in Selective and Balanced Representation Space for Treatment Effects Estimation15 Sep 2020 0 repositories listed
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Local Composite Quantile Regression for Regression Discontinuity8 Sep 2020 0 repositories listed
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Quantifying the Causal Effects of Conversational Tendencies8 Sep 2020 0 repositories listed
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Path Dependent Structural Equation Models24 Aug 2020 0 repositories listed
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Hi-CI: Deep Causal Inference in High Dimensions22 Aug 2020 0 repositories listed
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Estimation of causal effects of multiple treatments in healthcare database studies with rare outcomes18 Aug 2020 0 repositories listed
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Signal Processing on Directed Graphs2 Aug 2020 0 repositories listed
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Determining the Relevance of Features for Deep Neural Networks1 Aug 2020 0 repositories listed
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Naïve regression requires weaker assumptions than factor models to adjust for multiple cause confounding24 Jul 2020 0 repositories listed
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Computational Causal Inference21 Jul 2020 0 repositories listed
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Latent Instrumental Variables as Priors in Causal Inference based on Independence of Cause and Mechanism17 Jul 2020 0 repositories listed
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Causal Inference using Gaussian Processes with Structured Latent Confounders14 Jul 2020 0 repositories listed
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Robust Identifiability in Linear Structural Equation Models of Causal Inference14 Jul 2020 0 repositories listed
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Intelligent Credit Limit Management in Consumer Loans Based on Causal Inference10 Jul 2020 0 repositories listed
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Meta Learning for Causal Direction6 Jul 2020 0 repositories listed
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A Perspective on Gaussian Processes for Earth Observation2 Jul 2020 0 repositories listed
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A Causally Formulated Hazard Ratio Estimation through Backdoor Adjustment on Structural Causal Model22 Jun 2020 0 repositories listed
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Mitigating Bias in Online Microfinance Platforms: A Case Study on Kiva.org20 Jun 2020 0 repositories listed
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Valid Causal Inference with (Some) Invalid Instruments19 Jun 2020 0 repositories listed
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Causal Inference with Deep Causal Graphs15 Jun 2020 0 repositories listed
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Targeting Learning: Robust Statistics for Reproducible Research12 Jun 2020 0 repositories listed
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Uncertainty promotes neuroreductionism: A behavioral online study on folk psychological causal inference from neuroimaging data10 Jun 2020 0 repositories listed
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Regret Minimization for Causal Inference on Large Treatment Space10 Jun 2020 0 repositories listed
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Ensemble Learning with Statistical and Structural Models7 Jun 2020 0 repositories listed
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Causality and Batch Reinforcement Learning: Complementary Approaches To Planning In Unknown Domains3 Jun 2020 0 repositories listed
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Causal Bayesian Optimization24 May 2020 0 repositories listed
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Principal Fairness for Human and Algorithmic Decision-Making21 May 2020 0 repositories listed
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Studying Product Competition Using Representation Learning21 May 2020 0 repositories listed
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Counterfactual Propagation for Semi-Supervised Individual Treatment Effect Estimation11 May 2020 0 repositories listed
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Constraint-Based Causal Discovery using Partial Ancestral Graphs in the presence of Cycles1 May 2020 0 repositories listed
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Text and Causal Inference: A Review of Using Text to Remove Confounding from Causal Estimates1 May 2020 0 repositories listed
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MultiMBNN: Matched and Balanced Causal Inference with Neural Networks28 Apr 2020 0 repositories listed
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Causal Modeling with Stochastic Confounders24 Apr 2020 0 repositories listed
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Learning Continuous Treatment Policy and Bipartite Embeddings for Matching with Heterogeneous Causal Effects21 Apr 2020 0 repositories listed
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Ivy: Instrumental Variable Synthesis for Causal Inference11 Apr 2020 0 repositories listed
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A category theoretical argument for causal inference9 Apr 2020 0 repositories listed
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Causal Relational Learning7 Apr 2020 0 repositories listed
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2 Apr 2020 0 repositories listed Syntology 4 ran (of which 2 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified (of 5 harvested samples) · 5 pointer-only (licence)
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Identification Methods With Arbitrary Interventional Distributions as Inputs2 Apr 2020 0 repositories listed
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Quantifying the Economic Impact of Extreme Shocks on Businesses using Human Mobility Data: a Bayesian Causal Inference Approach1 Apr 2020 0 repositories listed
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Interpretable Personalization via Policy Learning with Linear Decision Boundaries17 Mar 2020 0 repositories listed
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Towards Clarifying the Theory of the Deconfounder10 Mar 2020 0 repositories listed
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Deconfounded Image Captioning: A Causal Retrospect9 Mar 2020 0 repositories listed
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Who Make Drivers Stop? Towards Driver-centric Risk Assessment: Risk Object Identification via Causal Inference5 Mar 2020 0 repositories listed
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Biased Stochastic First-Order Methods for Conditional Stochastic Optimization and Applications in Meta Learning25 Feb 2020 0 repositories listed
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Causal Inference With Selectively Deconfounded Data25 Feb 2020 0 repositories listed
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Causal Inference under Networked Interference and Intervention Policy Enhancement20 Feb 2020 0 repositories listed
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Causality in cognitive neuroscience: concepts, challenges, and distributional robustness14 Feb 2020 0 repositories listed
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On Geometry of Information Flow for Causal Inference6 Feb 2020 0 repositories listed
Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced; each line links to that paper's sample list. Syntology's record for this page has not changed since , the first build that kept a record date for it; when this build read Syntology's graph is in the build record. For agents: get_harvested_code_for_paper(arxiv_id) lists each paper's samples; how to connect.