Methods › Causal inference › Papers, page 6

Causal inference

Papers archive 2025-07-28

archive papers tagged: 694 · with a code link: 218 · where Syntology ran a sample: 56 (49 with a run with no instrument failure, 7 where every run was a failure of Syntology's instrument) Syntology

Show: all tagged papersonly where code ran (56 of 694 tagged: 49 with a run with no instrument failure, 7 where every run was a failure of Syntology's instrument)

Page 6 of 7: papers 501 to 600 of 694, newest first by the archive's date (ties by slug), in archive order.

Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code, as “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 instrument figure counts failures of Syntology's instrument, not of the code. It is per sample and not a correctness claim. 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; “community repositories only” when every sample that ran came from a community repository, “official: no sample here; runs from other or unrecorded repositories” when some came from a repository the paper names or has in its text, or from none recorded); hover it for the repositories the samples that ran came from.

• Semi-supervised learning and the question of true versus estimated propensity scores
  14 Sep 2020 · 1 repository · arXiv:2009.06183
• Quantifying the Causal Effects of Conversational Tendencies
  8 Sep 2020 · 0 repositories · arXiv:2009.03897
• Causal Inference in Possibly Nonlinear Factor Models
  31 Aug 2020 · 1 repository · arXiv:2008.13651
• Path Dependent Structural Equation Models
  24 Aug 2020 · 0 repositories · arXiv:2008.10706
• Hi-CI: Deep Causal Inference in High Dimensions
  22 Aug 2020 · 0 repositories · arXiv:2008.09858
• Long-Term Effect Estimation with Surrogate Representation
  19 Aug 2020 · 1 repository · arXiv:2008.08236
• Estimation of causal effects of multiple treatments in healthcare database studies with rare outcomes
  18 Aug 2020 · 0 repositories · arXiv:2008.07687
• Estimating Causal Effects with the Neural Autoregressive Density Estimator
  17 Aug 2020 · 1 repository · arXiv:2008.07283
  Syntology 3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 3 honoured, 0 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 3 harvested samples) · 3 pointer-only (licence)
• Estimating heterogeneous survival treatment effect in observational data using machine learning
  17 Aug 2020 · 1 repository · arXiv:2008.07044
• Structural Causal Models Are (Solvable by) Credal Networks
  2 Aug 2020 · 1 repository · arXiv:2008.00463
• Naïve regression requires weaker assumptions than factor models to adjust for multiple cause confounding
  24 Jul 2020 · 0 repositories · arXiv:2007.12702
• Computational Causal Inference
  21 Jul 2020 · 0 repositories · arXiv:2007.10979
• Autoregressive flow-based causal discovery and inference
  18 Jul 2020 · 2 repositories · arXiv:2007.09390
  Syntology community repositories only · 11 ran (of which 10 constructed an object rather than computing a result; 10 with no instrument failure: 0 honoured, 0 violated, 10 with no contract checked; 1 where Syntology's instrument failed) · 4 unverified (of 15 harvested samples)
• When deep learning meets causal inference: a computational framework for drug repurposing from real-world data
  16 Jul 2020 · 1 repository · arXiv:2007.10152
• Causal Inference using Gaussian Processes with Structured Latent Confounders
  14 Jul 2020 · 0 repositories · arXiv:2007.07127
• Learning to search efficiently for causally near-optimal treatments
  2 Jul 2020 · 1 repository · arXiv:2007.00973
• A Causally Formulated Hazard Ratio Estimation through Backdoor Adjustment on Structural Causal Model
  22 Jun 2020 · 0 repositories · arXiv:2006.12573
• Mitigating Bias in Online Microfinance Platforms: A Case Study on Kiva.org
  20 Jun 2020 · 0 repositories · arXiv:2006.12995
• Disentangling User Interest and Conformity for Recommendation with Causal Embedding
  19 Jun 2020 · 3 repositories · arXiv:2006.11011
• Causal intersectionality for fair ranking
  15 Jun 2020 · 2 repositories · arXiv:2006.08688
• Learning Individually Inferred Communication for Multi-Agent Cooperation
  11 Jun 2020 · 1 repository · arXiv:2006.06455
• Regret Minimization for Causal Inference on Large Treatment Space
  10 Jun 2020 · 0 repositories · arXiv:2006.05616
• Wasserstein Random Forests and Applications in Heterogeneous Treatment Effects
  8 Jun 2020 · 1 repository · arXiv:2006.04709
• Identifying Causal Structure in Dynamical Systems
  6 Jun 2020 · 1 repository · arXiv:2006.03906
• Causality and Batch Reinforcement Learning: Complementary Approaches To Planning In Unknown Domains
  3 Jun 2020 · 0 repositories · arXiv:2006.02579
• Automatic Detection of Influential Actors in Disinformation Networks
  21 May 2020 · 1 repository · arXiv:2005.10879
• Principal Fairness for Human and Algorithmic Decision-Making
  21 May 2020 · 0 repositories · arXiv:2005.10400
• Studying Product Competition Using Representation Learning
  21 May 2020 · 0 repositories · arXiv:2005.10402
• Causal Modeling of Twitter Activity During COVID-19
  16 May 2020 · 2 repositories · arXiv:2005.07952
• On the power of conditional independence testing under model-X
  12 May 2020 · 1 repository · arXiv:2005.05506
• Counterfactual Propagation for Semi-Supervised Individual Treatment Effect Estimation
  11 May 2020 · 0 repositories · arXiv:2005.05099
• Constraint-Based Causal Discovery using Partial Ancestral Graphs in the presence of Cycles
  1 May 2020 · 0 repositories · arXiv:2005.00610
• Does Terrorism Trigger Online Hate Speech? On the Association of Events and Time Series
  30 Apr 2020 · 1 repository · arXiv:2004.14733
• Causal Modeling with Stochastic Confounders
  24 Apr 2020 · 0 repositories · arXiv:2004.11497
• Machine learning for causal inference: on the use of cross-fit estimators
  21 Apr 2020 · 1 repository · arXiv:2004.10337
• Causal Inference under Outcome-Based Sampling with Monotonicity Assumptions
  17 Apr 2020 · 3 repositories · arXiv:2004.08318
• A Practical Introduction to Bayesian Estimation of Causal Effects: Parametric and Nonparametric Approaches
  15 Apr 2020 · 2 repositories · arXiv:2004.07375
• A category theoretical argument for causal inference
  9 Apr 2020 · 0 repositories · arXiv:2004.09999
• Causal Relational Learning
  7 Apr 2020 · 0 repositories · arXiv:2004.03644
• ParKCa: Causal Inference with Partially Known Causes
  17 Mar 2020 · 1 repository · arXiv:2003.07952
• Invariant Causal Prediction for Block MDPs
  12 Mar 2020 · 1 repository · arXiv:2003.06016
• Towards Clarifying the Theory of the Deconfounder
  10 Mar 2020 · 0 repositories · arXiv:2003.04948
• Who Make Drivers Stop? Towards Driver-centric Risk Assessment: Risk Object Identification via Causal Inference
  5 Mar 2020 · 0 repositories · arXiv:2003.02425
• Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding
  3 Mar 2020 · 2 repositories · arXiv:2003.01747
  Syntology official (archive's flag): 5 ran · 5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 5 harvested samples)
• Unbiased Scene Graph Generation from Biased Training
  27 Feb 2020 · 6 repositories · arXiv:2002.11949
  Syntology official (archive's flag): 3 ran · 6 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 3 where Syntology's instrument failed) · 0 unverified (of 6 harvested samples) · 6 pointer-only (licence)
• Biased Stochastic First-Order Methods for Conditional Stochastic Optimization and Applications in Meta Learning
  25 Feb 2020 · 0 repositories · arXiv:2002.10790
• CausalML: Python Package for Causal Machine Learning
  25 Feb 2020 · 2 repositories · arXiv:2002.11631
• MissDeepCausal: Causal Inference from Incomplete Data Using Deep Latent Variable Models
  25 Feb 2020 · 1 repository · arXiv:2002.10837
  Syntology official (archive's flag): 2 ran · 2 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 1 unverified (of 3 harvested samples)
• On Geometry of Information Flow for Causal Inference
  6 Feb 2020 · 0 repositories · arXiv:2002.02078
• A Survey on Causal Inference
  5 Feb 2020 · 1 repository · arXiv:2002.02770
• Variable-lag Granger Causality and Transfer Entropy for Time Series Analysis
  1 Feb 2020 · 2 repositories · arXiv:2002.00208
• Combining Offline Causal Inference and Online Bandit Learning for Data Driven Decision
  16 Jan 2020 · 0 repositories · arXiv:2001.05699
• Inferring Individual Level Causal Models from Graph-based Relational Time Series
  16 Jan 2020 · 0 repositories · arXiv:2001.05993
• Localized Debiased Machine Learning: Efficient Inference on Quantile Treatment Effects and Beyond
  30 Dec 2019 · 1 repository · arXiv:1912.12945
• Counterfactual Evaluation of Treatment Assignment Functions with Networked Observational Data
  22 Dec 2019 · 0 repositories · arXiv:1912.10536
• Variable-lag Granger Causality for Time Series Analysis
  18 Dec 2019 · 2 repositories · arXiv:1912.10829
• More Efficient Off-Policy Evaluation through Regularized Targeted Learning
  13 Dec 2019 · 0 repositories · arXiv:1912.06292
• MetaCI: Meta-Learning for Causal Inference in a Heterogeneous Population
  9 Dec 2019 · 0 repositories · arXiv:1912.03960
• Using Machine Learning to Assess Short Term Causal Dependence and Infer Network Links
  5 Dec 2019 · 0 repositories · arXiv:1912.02721
• A Normative Theory for Causal Inference and Bayes Factor Computation in Neural Circuits
  1 Dec 2019 · 1 repository
• Perceiving the arrow of time in autoregressive motion
  1 Dec 2019 · 0 repositories
• High Dimensional M-Estimation with Missing Outcomes: A Semi-Parametric Framework
  26 Nov 2019 · 0 repositories · arXiv:1911.11345
• Algorithmic Bias in Recidivism Prediction: A Causal Perspective
  24 Nov 2019 · 0 repositories · arXiv:1911.10640
• Causality for Machine Learning
  24 Nov 2019 · 1 repository · arXiv:1911.10500
• Causally Denoise Word Embeddings Using Half-Sibling Regression
  24 Nov 2019 · 1 repository · arXiv:1911.10524
• RSM-GAN: A Convolutional Recurrent GAN for Anomaly Detection in Contaminated Seasonal Multivariate Time Series
  16 Nov 2019 · 0 repositories · arXiv:1911.07104
• Bayesian nonparametric discontinuity design
  15 Nov 2019 · 1 repository · arXiv:1911.06722
• Causal Inference via Conditional Kolmogorov Complexity using MDL Binning
  31 Oct 2019 · 0 repositories · arXiv:1911.00332
• Causal inference for climate change events from satellite image time series using computer vision and deep learning
  25 Oct 2019 · 0 repositories · arXiv:1910.11492
• Strategic Classification is Causal Modeling in Disguise
  23 Oct 2019 · 0 repositories · arXiv:1910.10362
• Leveraging directed causal discovery to detect latent common causes
  22 Oct 2019 · 0 repositories · arXiv:1910.10174
• Optimising Individual-Treatment-Effect Using Bandits
  16 Oct 2019 · 1 repository · arXiv:1910.07265
• Comment on "Blessings of Multiple Causes"
  11 Oct 2019 · 0 repositories · arXiv:1910.05438
• Kernel-based Approach to Handle Mixed Data for Inferring Causal Graphs
  7 Oct 2019 · 0 repositories · arXiv:1910.03055
• Spike-based causal inference for weight alignment
  3 Oct 2019 · 1 repository · arXiv:1910.01689
• Debiased Bayesian inference for average treatment effects
  26 Sep 2019 · 1 repository · arXiv:1909.12078
• A neural network oracle for quantum nonlocality problems in networks
  24 Jul 2019 · 1 repository · arXiv:1907.10552
  Syntology official (archive's flag): 1 ran · 1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample)
• A discriminative approach for finding and characterizing positivity violations using decision trees
  18 Jul 2019 · 0 repositories · arXiv:1907.08127
• Quantifying Error in the Presence of Confounders for Causal Inference
  10 Jul 2019 · 0 repositories · arXiv:1907.04805
• Adjustment Criteria for Recovering Causal Effects from Missing Data
  2 Jul 2019 · 0 repositories · arXiv:1907.01654
• A Bayesian Solution to the M-Bias Problem
  17 Jun 2019 · 0 repositories · arXiv:1906.07136
• Reinforcement Knowledge Graph Reasoning for Explainable Recommendation
  12 Jun 2019 · 1 repository · arXiv:1906.05237
• Learning Individual Causal Effects from Networked Observational Data
  8 Jun 2019 · 1 repository · arXiv:1906.03485
• Adapting Neural Networks for the Estimation of Treatment Effects
  5 Jun 2019 · 5 repositories · arXiv:1906.02120
  Syntology official: harvested, nothing ran · 2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified (of 5 harvested samples) · 3 pointer-only (licence)
• The Secrets of Machine Learning: Ten Things You Wish You Had Known Earlier to be More Effective at Data Analysis
  4 Jun 2019 · 0 repositories · arXiv:1906.01998
• An Evaluation Toolkit to Guide Model Selection and Cohort Definition in Causal Inference
  2 Jun 2019 · 2 repositories · arXiv:1906.00442
• Multiple Causes: A Causal Graphical View
  30 May 2019 · 0 repositories · arXiv:1905.12793
• Rarely-switching linear bandits: optimization of causal effects for the real world
  30 May 2019 · 0 repositories · arXiv:1905.13121
• Heterogeneous causal effects with imperfect compliance: a Bayesian machine learning approach
  29 May 2019 · 1 repository · arXiv:1905.12707
• Sample Complexity of Sample Average Approximation for Conditional Stochastic Optimization
  28 May 2019 · 0 repositories · arXiv:1905.11957
• Contrastive Fairness in Machine Learning
  17 May 2019 · 0 repositories · arXiv:1905.07360
• An End-to-End Framework to Identify Pathogenic Social Media Accounts on Twitter
  4 May 2019 · 0 repositories · arXiv:1905.01553
• Learning Information Propagation in the Dynamical Systems via Information Bottleneck Hierarchy
  1 May 2019 · 0 repositories
• Adversarial Balancing-based Representation Learning for Causal Effect Inference with Observational Data
  30 Apr 2019 · 2 repositories · arXiv:1904.13335
  Syntology official (archive's flag): 12 ran · 18 ran (of which 0 constructed an object rather than computing a result; 17 with no instrument failure: 0 honoured, 0 violated, 17 with no contract checked; 1 where Syntology's instrument failed) · 5 unverified (of 23 harvested samples) · 2 pointer-only (licence)
• A unifying approach for doubly-robust ℓ₁ regularized estimation of causal contrasts
  7 Apr 2019 · 0 repositories · arXiv:1904.03737
• What can be estimated? Identifiability, estimability, causal inference and ill-posed inverse problems
  4 Apr 2019 · 0 repositories · arXiv:1904.02826
• Machine Learning Methods Economists Should Know About
  24 Mar 2019 · 0 repositories · arXiv:1903.10075
• Weighted Tensor Completion for Time-Series Causal Inference
  12 Feb 2019 · 1 repository · arXiv:1902.04646
• Using Embeddings to Correct for Unobserved Confounding in Networks
  11 Feb 2019 · 3 repositories · arXiv:1902.04114
• When Causal Intervention Meets Adversarial Examples and Image Masking for Deep Neural Networks
  9 Feb 2019 · 1 repository · arXiv:1902.03380