{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/method/causal-inference/papers/4","list_of":"/method/causal-inference","method":"Causal inference","archive":{"snapshot":"2025-07-28"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"date (newest first), then slug","page":4,"pages_in_order":7,"rows_per_page":100,"rows":[301,400],"of":694,"counts":{"archive_papers_tagged":694,"with_a_code_link":218,"where_syntology_ran_a_sample":56,"not_listed_spam_title":0,"listed":694,"listed_where_code_ran":56,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":49,"every_run_a_failure_of_syntologys_instrument":7,"listed_with_a_run_with_no_instrument_failure":49,"listed_every_run_a_failure_of_syntologys_instrument":7,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/method/causal-inference","prev":"/method/causal-inference/papers/3","next":"/method/causal-inference/papers/5","papers":[{"paper":"/paper/can-large-language-models-or-humans-distill","slug":"can-large-language-models-or-humans-distill","title":"Can Large Language Models (or Humans) Disentangle Text?","date":"2024-03-25","arxiv_id":"2403.16584","n_code_links":1,"syntology":null},{"paper":"/paper/double-cross-fit-doubly-robust-estimators","slug":"double-cross-fit-doubly-robust-estimators","title":"Double Cross-fit Doubly Robust Estimators: Beyond Series Regression","date":"2024-03-22","arxiv_id":"2403.15175","n_code_links":1,"syntology":null},{"paper":null,"slug":"a-transfer-learning-causal-approach-to","title":"A Transfer Learning Causal Approach to Evaluate Racial/Ethnic and Geographic Variation in Outcomes Following Congenital Heart Surgery","date":"2024-03-21","arxiv_id":"2403.14573","n_code_links":0,"syntology":null},{"paper":null,"slug":"research-on-personal-credit-risk-assessment","title":"Research on Personal Credit Risk Assessment Methods Based on Causal Inference","date":"2024-03-17","arxiv_id":"2403.11217","n_code_links":0,"syntology":null},{"paper":"/paper/lifted-causal-inference-in-relational-domains","slug":"lifted-causal-inference-in-relational-domains","title":"Lifted Causal Inference in Relational Domains","date":"2024-03-15","arxiv_id":"2403.10184","n_code_links":1,"syntology":null},{"paper":null,"slug":"limits-of-approximating-the-median-treatment","title":"Limits of Approximating the Median Treatment Effect","date":"2024-03-15","arxiv_id":"2403.10618","n_code_links":0,"syntology":null},{"paper":null,"slug":"algorithmic-syntactic-causal-identification","title":"Algorithmic syntactic causal identification","date":"2024-03-14","arxiv_id":"2403.09580","n_code_links":0,"syntology":null},{"paper":null,"slug":"large-language-models-and-causal-inference-in","title":"Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey","date":"2024-03-14","arxiv_id":"2403.09606","n_code_links":0,"syntology":null},{"paper":null,"slug":"imputation-of-counterfactual-outcomes-when","title":"Imputation of Counterfactual Outcomes when the Errors are Predictable","date":"2024-03-12","arxiv_id":"2403.08130","n_code_links":0,"syntology":null},{"paper":null,"slug":"probabilistic-easy-variational-causal-effect","title":"Probabilistic Easy Variational Causal Effect","date":"2024-03-12","arxiv_id":"2403.07745","n_code_links":0,"syntology":null},{"paper":null,"slug":"causalcellsegmenter-causal-inference-inspired","title":"CausalCellSegmenter: Causal Inference inspired Diversified Aggregation Convolution for Pathology Image Segmentation","date":"2024-03-10","arxiv_id":"2403.06066","n_code_links":0,"syntology":null},{"paper":"/paper/acceleratedlingam-learning-causal-dags-at-the","slug":"acceleratedlingam-learning-causal-dags-at-the","title":"AcceleratedLiNGAM: Learning Causal DAGs at the speed of GPUs","date":"2024-03-06","arxiv_id":"2403.03772","n_code_links":1,"syntology":{"ran":3,"of":3,"n_ran_checked":3,"n_instrument":0,"unverified":0,"pointer_only":0,"phrase":"3 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; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["viktour19/culingam"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"media-bias-matters-understanding-the-impact","title":"Media Bias Matters: Understanding the Impact of Politically Biased News on Vaccine Attitudes in Social Media","date":"2024-03-06","arxiv_id":"2403.04009","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-data-driven-two-phase-multi-split-causal","title":"A Data-Driven Two-Phase Multi-Split Causal Ensemble Model for Time Series","date":"2024-03-04","arxiv_id":"2403.04793","n_code_links":0,"syntology":null},{"paper":null,"slug":"improving-generalisation-via-anchor","title":"Out-of-distribution robustness for multivariate analysis via causal regularisation","date":"2024-03-04","arxiv_id":"2403.01865","n_code_links":0,"syntology":null},{"paper":null,"slug":"the-implicit-bias-of-heterogeneity-towards","title":"The Implicit Bias of Heterogeneity towards Invariance: A Study of Multi-Environment Matrix Sensing","date":"2024-03-03","arxiv_id":"2403.01420","n_code_links":0,"syntology":null},{"paper":"/paper/diner-debiasing-aspect-based-sentiment","slug":"diner-debiasing-aspect-based-sentiment","title":"DINER: Debiasing Aspect-based Sentiment Analysis with Multi-variable Causal Inference","date":"2024-03-02","arxiv_id":"2403.01166","n_code_links":1,"syntology":null},{"paper":"/paper/dual-granularity-medication-recommendation","slug":"dual-granularity-medication-recommendation","title":"CIDGMed: Causal Inference-Driven Medication Recommendation with Enhanced Dual-Granularity Learning","date":"2024-03-01","arxiv_id":"2403.00880","n_code_links":2,"syntology":null},{"paper":null,"slug":"how-to-understand-support-an-implicit","title":"How to Understand \"Support\"? An Implicit-enhanced Causal Inference Approach for Weakly-supervised Phrase Grounding","date":"2024-02-29","arxiv_id":"2402.19116","n_code_links":0,"syntology":null},{"paper":"/paper/language-models-represent-beliefs-of-self-and","slug":"language-models-represent-beliefs-of-self-and","title":"Language Models Represent Beliefs of Self and Others","date":"2024-02-28","arxiv_id":"2402.18496","n_code_links":1,"syntology":{"ran":9,"of":11,"n_ran_checked":9,"n_instrument":0,"unverified":2,"pointer_only":0,"phrase":"9 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 0 honoured, 0 violated, 9 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","official":null}},{"paper":"/paper/unveiling-the-potential-of-robustness-in","slug":"unveiling-the-potential-of-robustness-in","title":"Unveiling the Potential of Robustness in Selecting Conditional Average Treatment Effect Estimators","date":"2024-02-28","arxiv_id":"2402.18392","n_code_links":1,"syntology":{"ran":7,"of":10,"n_ran_checked":6,"n_instrument":1,"unverified":3,"pointer_only":10,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 1 where Syntology's instrument failed) · 3 unverified","official":{"repos":["yiyhuang3/cate_estimator_selection"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"towards-generalizing-inferences-from-trials","title":"Towards Generalizing Inferences from Trials to Target Populations","date":"2024-02-26","arxiv_id":"2402.17042","n_code_links":0,"syntology":null},{"paper":null,"slug":"impact-of-physical-activity-on-quality-of","title":"Impact of Physical Activity on Quality of Life During Pregnancy: A Causal ML Approach","date":"2024-02-25","arxiv_id":"2402.16909","n_code_links":0,"syntology":null},{"paper":"/paper/ros-causal-a-ros-based-causal-analysis","slug":"ros-causal-a-ros-based-causal-analysis","title":"ROS-Causal: A ROS-based Causal Analysis Framework for Human-Robot Interaction Applications","date":"2024-02-25","arxiv_id":"2402.16068","n_code_links":1,"syntology":null},{"paper":"/paper/rao-blackwellising-bayesian-causal-inference","slug":"rao-blackwellising-bayesian-causal-inference","title":"Effective Bayesian Causal Inference via Structural Marginalisation and Autoregressive Orders","date":"2024-02-22","arxiv_id":"2402.14781","n_code_links":1,"syntology":null},{"paper":null,"slug":"structure-agnostic-optimality-of-doubly","title":"Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation","date":"2024-02-22","arxiv_id":"2402.14264","n_code_links":0,"syntology":null},{"paper":"/paper/double-machine-learning-for-causal-hybrid","slug":"double-machine-learning-for-causal-hybrid","title":"Causal hybrid modeling with double machine learning","date":"2024-02-20","arxiv_id":"2402.13332","n_code_links":2,"syntology":null},{"paper":null,"slug":"integrating-active-learning-in-causal","title":"Integrating Active Learning in Causal Inference with Interference: A Novel Approach in Online Experiments","date":"2024-02-20","arxiv_id":"2402.12710","n_code_links":0,"syntology":null},{"paper":null,"slug":"how-causal-inference-concepts-can-guide","title":"How causal inference concepts can guide research into the effects of climate on infectious diseases","date":"2024-02-19","arxiv_id":"2402.12507","n_code_links":0,"syntology":null},{"paper":"/paper/graph-out-of-distribution-generalization-via","slug":"graph-out-of-distribution-generalization-via","title":"Graph Out-of-Distribution Generalization via Causal Intervention","date":"2024-02-18","arxiv_id":"2402.11494","n_code_links":1,"syntology":{"ran":2,"of":8,"n_ran_checked":2,"n_instrument":0,"unverified":6,"pointer_only":8,"phrase":"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) · 6 unverified","official":{"repos":["fannie1208/canet"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":6,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"manipulation-test-for-multidimensional-rdd","title":"Manipulation Test for Multidimensional RDD","date":"2024-02-16","arxiv_id":"2402.10836","n_code_links":0,"syntology":null},{"paper":null,"slug":"beyond-sparsity-local-projections-inference","title":"Local Projections Inference with High-Dimensional Covariates without Sparsity","date":"2024-02-12","arxiv_id":"2402.07743","n_code_links":0,"syntology":null},{"paper":null,"slug":"navigating-market-turbulence-insights-from","title":"Navigating Market Turbulence: Insights from Causal Network Contagion Value at Risk","date":"2024-02-08","arxiv_id":"2402.06032","n_code_links":0,"syntology":null},{"paper":null,"slug":"hyperparameter-tuning-for-causal-inference","title":"Hyperparameter Tuning for Causal Inference with Double Machine Learning: A Simulation Study","date":"2024-02-07","arxiv_id":"2402.04674","n_code_links":0,"syntology":null},{"paper":null,"slug":"presaise-an-enterprises-prescriptive-ai","title":"PresAIse, A Prescriptive AI Solution for Enterprises","date":"2024-02-03","arxiv_id":"2402.02006","n_code_links":0,"syntology":null},{"paper":"/paper/integrating-large-language-models-in-causal","slug":"integrating-large-language-models-in-causal","title":"Integrating Large Language Models in Causal Discovery: A Statistical Causal Approach","date":"2024-02-02","arxiv_id":"2402.01454","n_code_links":2,"syntology":null},{"paper":"/paper/bayesian-causal-inference-with-gaussian","slug":"bayesian-causal-inference-with-gaussian","title":"Bayesian Causal Inference with Gaussian Process Networks","date":"2024-02-01","arxiv_id":"2402.00623","n_code_links":1,"syntology":null},{"paper":null,"slug":"doublemldeep-estimation-of-causal-effects","title":"DoubleMLDeep: Estimation of Causal Effects with Multimodal Data","date":"2024-02-01","arxiv_id":"2402.01785","n_code_links":0,"syntology":null},{"paper":"/paper/explaining-text-classifiers-with","slug":"explaining-text-classifiers-with","title":"Explaining Text Classifiers with Counterfactual Representations","date":"2024-02-01","arxiv_id":"2402.00711","n_code_links":1,"syntology":null},{"paper":null,"slug":"causal-coordinated-concurrent-reinforcement","title":"Causal Coordinated Concurrent Reinforcement Learning","date":"2024-01-31","arxiv_id":"2401.18012","n_code_links":0,"syntology":null},{"paper":null,"slug":"continuous-treatment-effects-with-surrogate","title":"Continuous Treatment Effects with Surrogate Outcomes","date":"2024-01-31","arxiv_id":"2402.00168","n_code_links":0,"syntology":null},{"paper":null,"slug":"graph-neural-networks-theory-for-estimation","title":"Graph Neural Networks: Theory for Estimation with Application on Network Heterogeneity","date":"2024-01-29","arxiv_id":"2401.16275","n_code_links":0,"syntology":null},{"paper":null,"slug":"entrywise-inference-for-causal-panel-data-a","title":"Entrywise Inference for Missing Panel Data: A Simple and Instance-Optimal Approach","date":"2024-01-24","arxiv_id":"2401.13665","n_code_links":0,"syntology":null},{"paper":null,"slug":"tweets-to-citations-unveiling-the-impact-of","title":"Position: AI/ML Influencers Have a Place in the Academic Process","date":"2024-01-24","arxiv_id":"2401.13782","n_code_links":0,"syntology":null},{"paper":"/paper/slang-new-concept-comprehension-of-large","slug":"slang-new-concept-comprehension-of-large","title":"SLANG: New Concept Comprehension of Large Language Models","date":"2024-01-23","arxiv_id":"2401.12585","n_code_links":1,"syntology":{"ran":8,"of":8,"n_ran_checked":7,"n_instrument":1,"unverified":0,"pointer_only":1,"phrase":"8 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","official":{"repos":["meirtz/focusonslang-toolbox"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"interventional-fairness-on-partially-known","title":"Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach","date":"2024-01-19","arxiv_id":"2401.10632","n_code_links":0,"syntology":null},{"paper":null,"slug":"deep-learning-with-dags","title":"Deep Learning With DAGs","date":"2024-01-12","arxiv_id":"2401.06864","n_code_links":0,"syntology":null},{"paper":null,"slug":"modeling-latent-selection-with-structural","title":"Modeling Latent Selection with Structural Causal Models","date":"2024-01-12","arxiv_id":"2401.06925","n_code_links":0,"syntology":null},{"paper":"/paper/proximal-causal-inference-with-text-data","slug":"proximal-causal-inference-with-text-data","title":"Proximal Causal Inference With Text Data","date":"2024-01-12","arxiv_id":"2401.06687","n_code_links":1,"syntology":{"ran":3,"of":3,"n_ran_checked":1,"n_instrument":2,"unverified":0,"pointer_only":0,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified","official":{"repos":["jacobmchen/proximal_w_text"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/neural-causal-abstractions","slug":"neural-causal-abstractions","title":"Neural Causal Abstractions","date":"2024-01-05","arxiv_id":"2401.02602","n_code_links":1,"syntology":{"ran":4,"of":6,"n_ran_checked":4,"n_instrument":0,"unverified":2,"pointer_only":0,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","official":{"repos":["causalailab/neuralcausalabstractions"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"inverting-estimating-equations-for-causal","title":"Inverting estimating equations for causal inference on quantiles","date":"2024-01-02","arxiv_id":"2401.00987","n_code_links":0,"syntology":null},{"paper":null,"slug":"inferring-heterogeneous-treatment-effects-of","title":"Inferring Heterogeneous Treatment Effects of Crashes on Highway Traffic: A Doubly Robust Causal Machine Learning Approach","date":"2024-01-01","arxiv_id":"2401.00781","n_code_links":0,"syntology":null},{"paper":null,"slug":"the-challenge-of-using-llms-to-simulate-human","title":"The Challenge of Using LLMs to Simulate Human Behavior: A Causal Inference Perspective","date":"2023-12-24","arxiv_id":"2312.15524","n_code_links":0,"syntology":null},{"paper":null,"slug":"causal-forecasting-for-pricing","title":"Causal Forecasting for Pricing","date":"2023-12-23","arxiv_id":"2312.15282","n_code_links":0,"syntology":null},{"paper":"/paper/invariant-anomaly-detection-under-1","slug":"invariant-anomaly-detection-under-1","title":"Invariant Anomaly Detection under Distribution Shifts: A Causal Perspective","date":"2023-12-21","arxiv_id":"2312.14329","n_code_links":1,"syntology":null},{"paper":"/paper/brain-inspired-visual-odometry-balancing","slug":"brain-inspired-visual-odometry-balancing","title":"Brain-Inspired Visual Odometry: Balancing Speed and Interpretability through a System of Systems Approach","date":"2023-12-20","arxiv_id":"2312.13162","n_code_links":1,"syntology":null},{"paper":null,"slug":"learning-fair-policies-for-multi-stage","title":"Learning Fair Policies for Multi-stage Selection Problems from Observational Data","date":"2023-12-20","arxiv_id":"2312.13173","n_code_links":0,"syntology":null},{"paper":null,"slug":"linear-and-nonlinear-causality-in-financial","title":"Linear and nonlinear causality in financial markets","date":"2023-12-18","arxiv_id":"2312.16185","n_code_links":0,"syntology":null},{"paper":"/paper/double-machine-learning-for-static-panel","slug":"double-machine-learning-for-static-panel","title":"Double Machine Learning for Static Panel Models with Fixed Effects","date":"2023-12-13","arxiv_id":"2312.08174","n_code_links":1,"syntology":null},{"paper":"/paper/learning-the-causal-structure-of-networked","slug":"learning-the-causal-structure-of-networked","title":"Learning the Causal Structure of Networked Dynamical Systems under Latent Nodes and Structured Noise","date":"2023-12-10","arxiv_id":"2312.05974","n_code_links":1,"syntology":{"ran":3,"of":3,"n_ran_checked":3,"n_instrument":0,"unverified":0,"pointer_only":3,"phrase":"3 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; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["seabrapt/brain_underlying_structure_identification"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"disentangled-latent-representation-learning","title":"Disentangled Latent Representation Learning for Tackling the Confounding M-Bias Problem in Causal Inference","date":"2023-12-08","arxiv_id":"2312.05404","n_code_links":0,"syntology":null},{"paper":"/paper/cladder-a-benchmark-to-assess-causal-1","slug":"cladder-a-benchmark-to-assess-causal-1","title":"CLadder: Assessing Causal Reasoning in Language Models","date":"2023-12-07","arxiv_id":"2312.04350","n_code_links":2,"syntology":{"ran":15,"of":19,"n_ran_checked":14,"n_instrument":1,"unverified":4,"pointer_only":0,"phrase":"15 ran (of which 1 constructed an object rather than computing a result; 14 with no instrument failure: 0 honoured, 0 violated, 14 with no contract checked; 1 where Syntology's instrument failed) · 4 unverified","official":{"repos":["causalnlp/cladder"],"state":"official (archive's flag): 14 ran","n_ran":14,"n_constructed":0,"n_ran_no_instrument_failure":13,"n_unverified":4,"ran_from_kinds":["listed","official"]}}},{"paper":null,"slug":"exposing-disparities-in-flood-adaptation-for","title":"Exposing Disparities in Flood Adaptation for Equitable Future Interventions","date":"2023-12-06","arxiv_id":"2312.03843","n_code_links":0,"syntology":null},{"paper":"/paper/marginal-density-ratio-for-off-policy-1","slug":"marginal-density-ratio-for-off-policy-1","title":"Marginal Density Ratio for Off-Policy Evaluation in Contextual Bandits","date":"2023-12-03","arxiv_id":"2312.01457","n_code_links":1,"syntology":{"ran":2,"of":2,"n_ran_checked":2,"n_instrument":0,"unverified":0,"pointer_only":2,"phrase":"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) · 0 unverified","official":{"repos":["faaizt/mr-ope"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/space-the-spatial-confounding-environment","slug":"space-the-spatial-confounding-environment","title":"SpaCE: The Spatial Confounding Environment","date":"2023-12-01","arxiv_id":"2312.00710","n_code_links":1,"syntology":null},{"paper":null,"slug":"geometry-aware-normalizing-wasserstein-flows","title":"Geometry-Aware Normalizing Wasserstein Flows for Optimal Causal Inference","date":"2023-11-30","arxiv_id":"2311.18826","n_code_links":0,"syntology":null},{"paper":null,"slug":"infoflownet-a-multi-head-attention-based-self","title":"InfoFlowNet: A Multi-head Attention-based Self-supervised Learning Model with Surrogate Approach for Uncovering Brain Effective Connectivity","date":"2023-11-30","arxiv_id":"2311.18527","n_code_links":0,"syntology":null},{"paper":null,"slug":"epistemic-limits-of-empirical-finance-causal","title":"Epistemic Limits of Empirical Finance: Causal Reductionism and Self-Reference","date":"2023-11-28","arxiv_id":"2311.16570","n_code_links":0,"syntology":null},{"paper":"/paper/a-neural-framework-for-generalized-causal","slug":"a-neural-framework-for-generalized-causal","title":"A Neural Framework for Generalized Causal Sensitivity Analysis","date":"2023-11-27","arxiv_id":"2311.16026","n_code_links":1,"syntology":{"ran":3,"of":6,"n_ran_checked":2,"n_instrument":1,"unverified":3,"pointer_only":6,"phrase":"3 ran (of which 2 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 1 where Syntology's instrument failed) · 3 unverified","official":{"repos":["dennisfrauen/neuralcsa"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":2,"n_ran_no_instrument_failure":2,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"analyzing-behaviors-of-mixed-traffic-via","title":"Analyzing Behaviors of Mixed Traffic via Reinforcement Learning at Unsignalized Intersections","date":"2023-11-21","arxiv_id":"2312.05325","n_code_links":0,"syntology":null},{"paper":"/paper/causal-structure-learning-supervised-by-large","slug":"causal-structure-learning-supervised-by-large","title":"Causal Structure Learning Supervised by Large Language Model","date":"2023-11-20","arxiv_id":"2311.11689","n_code_links":1,"syntology":null},{"paper":null,"slug":"revealing-behavioral-impact-on-mobility","title":"A causal intervention framework for synthesizing mobility data and evaluating predictive neural networks","date":"2023-11-20","arxiv_id":"2311.11749","n_code_links":0,"syntology":null},{"paper":null,"slug":"towards-a-post-market-monitoring-framework","title":"Designing monitoring strategies for deployed machine learning algorithms: navigating performativity through a causal lens","date":"2023-11-20","arxiv_id":"2311.11463","n_code_links":0,"syntology":null},{"paper":"/paper/an-adaptive-denoising-recommendation","slug":"an-adaptive-denoising-recommendation","title":"An adaptive denoising recommendation algorithm for causal separation bias","date":"2023-11-15","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":"/paper/causal-prediction-models-for-medication","slug":"causal-prediction-models-for-medication","title":"Causal prediction models for medication safety monitoring: The diagnosis of vancomycin-induced acute kidney injury","date":"2023-11-15","arxiv_id":"2311.09137","n_code_links":1,"syntology":null},{"paper":null,"slug":"heteroskedasticity-as-a-signature-of","title":"Heteroskedasticity as a Signature of Association for Age-Related Genes","date":"2023-11-15","arxiv_id":"2311.09411","n_code_links":0,"syntology":null},{"paper":null,"slug":"the-impact-of-generative-artificial","title":"The Impact of Generative Artificial Intelligence on Market Equilibrium: Evidence from a Natural Experiment","date":"2023-11-13","arxiv_id":"2311.07071","n_code_links":0,"syntology":null},{"paper":null,"slug":"distribution-re-weighting-and-voting","title":"Omitted Labels Induce Nontransitive Paradoxes in Causality","date":"2023-11-12","arxiv_id":"2311.06840","n_code_links":0,"syntology":null},{"paper":null,"slug":"learned-causal-method-prediction","title":"Learned Causal Method Prediction","date":"2023-11-07","arxiv_id":"2311.03989","n_code_links":0,"syntology":null},{"paper":"/paper/causalcite-a-causal-formulation-of-paper","slug":"causalcite-a-causal-formulation-of-paper","title":"CausalCite: A Causal Formulation of Paper Citations","date":"2023-11-05","arxiv_id":"2311.02790","n_code_links":1,"syntology":null},{"paper":null,"slug":"high-precision-causal-model-evaluation-with","title":"High Precision Causal Model Evaluation with Conditional Randomization","date":"2023-11-03","arxiv_id":"2311.01902","n_code_links":0,"syntology":null},{"paper":null,"slug":"trialscope-a-unifying-causal-framework-for","title":"TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models","date":"2023-11-02","arxiv_id":"2311.01301","n_code_links":0,"syntology":null},{"paper":null,"slug":"variable-selection-in-maximum-mean","title":"Variable Selection in Maximum Mean Discrepancy for Interpretable Distribution Comparison","date":"2023-11-02","arxiv_id":"2311.01537","n_code_links":0,"syntology":null},{"paper":"/paper/text-transport-toward-learning-causal-effects","slug":"text-transport-toward-learning-causal-effects","title":"Text-Transport: Toward Learning Causal Effects of Natural Language","date":"2023-10-31","arxiv_id":"2310.20697","n_code_links":1,"syntology":{"ran":6,"of":8,"n_ran_checked":6,"n_instrument":0,"unverified":2,"pointer_only":8,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","official":{"repos":["torylin/text-transport"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"generator-identification-for-linear-sdes-with","title":"Generator Identification for Linear SDEs with Additive and Multiplicative Noise","date":"2023-10-30","arxiv_id":"2310.19491","n_code_links":0,"syntology":null},{"paper":"/paper/fmmrec-fairness-aware-multimodal","slug":"fmmrec-fairness-aware-multimodal","title":"Causality-Inspired Fair Representation Learning for Multimodal Recommendation","date":"2023-10-26","arxiv_id":"2310.17373","n_code_links":1,"syntology":null},{"paper":null,"slug":"cate-lasso-conditional-average-treatment","title":"CATE Lasso: Conditional Average Treatment Effect Estimation with High-Dimensional Linear Regression","date":"2023-10-25","arxiv_id":"2310.16819","n_code_links":0,"syntology":null},{"paper":"/paper/local-discovery-by-partitioning-polynomial","slug":"local-discovery-by-partitioning-polynomial","title":"Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairs","date":"2023-10-25","arxiv_id":"2310.17816","n_code_links":1,"syntology":null},{"paper":null,"slug":"causal-understanding-of-why-users-share-hate","title":"Analyzing User Characteristics of Hate Speech Spreaders on Social Media","date":"2023-10-24","arxiv_id":"2310.15772","n_code_links":0,"syntology":null},{"paper":null,"slug":"causal-inference-using-llm-guided-discovery","title":"Causal Inference Using LLM-Guided Discovery","date":"2023-10-23","arxiv_id":"2310.15117","n_code_links":0,"syntology":null},{"paper":"/paper/counterfactual-prediction-under-selective","slug":"counterfactual-prediction-under-selective","title":"Counterfactual Prediction Under Selective Confounding","date":"2023-10-21","arxiv_id":"2310.14064","n_code_links":1,"syntology":{"ran":4,"of":4,"n_ran_checked":4,"n_instrument":0,"unverified":0,"pointer_only":4,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["sohaib730/causalml"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"metastable-hidden-markov-processes-a-theory","title":"Metastable Financial Markets","date":"2023-10-19","arxiv_id":"2310.13081","n_code_links":0,"syntology":null},{"paper":null,"slug":"stranger-danger-cross-community-interactions","title":"Stranger Danger! Cross-Community Interactions with Fringe Users Increase the Growth of Fringe Communities on Reddit","date":"2023-10-18","arxiv_id":"2310.12186","n_code_links":0,"syntology":null},{"paper":null,"slug":"evaluating-the-impact-of-humanitarian-aid-on","title":"Assessing the Causal Impact of Humanitarian Aid on Food Security","date":"2023-10-17","arxiv_id":"2310.11287","n_code_links":0,"syntology":null},{"paper":null,"slug":"differentially-private-multi-site-treatment","title":"Differentially Private Multi-Site Treatment Effect Estimation","date":"2023-10-10","arxiv_id":"2310.06237","n_code_links":0,"syntology":null},{"paper":"/paper/high-dimensional-causal-inference-with","slug":"high-dimensional-causal-inference-with","title":"High Dimensional Causal Inference with Variational Backdoor Adjustment","date":"2023-10-09","arxiv_id":"2310.06100","n_code_links":1,"syntology":null},{"paper":null,"slug":"projecting-infinite-time-series-graphs-to","title":"Projecting infinite time series graphs to finite marginal graphs using number theory","date":"2023-10-09","arxiv_id":"2310.05526","n_code_links":0,"syntology":null},{"paper":null,"slug":"causal-inference-with-conditional-front-door","title":"Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder","date":"2023-10-03","arxiv_id":"2310.01937","n_code_links":0,"syntology":null},{"paper":null,"slug":"logical-bias-learning-for-object-relation","title":"Logical Bias Learning for Object Relation Prediction","date":"2023-10-01","arxiv_id":"2310.00712","n_code_links":0,"syntology":null},{"paper":"/paper/towards-causal-foundation-model-on-duality","slug":"towards-causal-foundation-model-on-duality","title":"Towards Causal Foundation Model: on Duality between Causal Inference and Attention","date":"2023-10-01","arxiv_id":"2310.00809","n_code_links":1,"syntology":null}],"record_sha256":"18d297e94b4b57f50ab89e8194affeef68aa9669ebf342ede7d9295fb7bb1ced","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}