Counterfactual Inference

Benchmarks archive 2025-07-28

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Datasets archive 2025-07-28

2 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

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Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 64 papers with code (124 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Deep Structural Causal Models for Tractable Counterfactual Inference
  11 Jun 2020 3 repositories listed Syntology ran 12 of 20 samples · 8 unverified · 3 pointer-only (licence)
  We formulate a general framework for building structural causal models (SCMs) with deep learning components.
• Deep Kalman Filters
  16 Nov 2015 3 repositories listed
  Motivated by recent variational methods for learning deep generative models, we introduce a unified algorithm to efficiently learn a broad spectrum of Kalman filters.
• Modeling Causal Mechanisms with Diffusion Models for Interventional and Counterfactual Queries
  2 Feb 2023 2 repositories listed Syntology ran 1 of 12 samples · 11 unverified
  We consider the problem of answering observational, interventional, and counterfactual queries in a causally sufficient setting where only observational data and the causal graph are available.
• SurvCaus : Representation Balancing for Survival Causal Inference
  29 Mar 2022 2 repositories listed
  Individual Treatment Effects (ITE) estimation methods have risen in popularity in the last years.
• Adaptively-weighted Nearest Neighbors for Matrix Completion
  14 May 2025 1 repository listed
  In this technical note, we introduce and analyze AWNN: an adaptively weighted nearest neighbor method for performing matrix completion.
• Generative Framework for Personalized Persuasion: Inferring Causal, Counterfactual, and Latent Knowledge
  8 Apr 2025 1 repository listed
  We model the user utterance strategies as causal factors, enabling system strategies to be treated as counterfactual actions.
• Counterfactual experience augmented off-policy reinforcement learning
  18 Mar 2025 1 repository listed
  By providing reward signals for counterfactual state transitions based on real information, CEA constructs a complete counterfactual experience to alleviate the out-of-distribution problem of the learning data, and…
• Controllable Sequence Editing for Biological and Clinical Trajectories
  5 Feb 2025 1 repository listed Syntology ran 1 of 3 samples · 2 unverified · 3 pointer-only (licence)
  These concepts allow CLEF to apply targeted edits to the affected time steps and variables while preserving the rest of the sequence.
• CausalSR: Structural Causal Model-Driven Super-Resolution with Counterfactual Inference
  27 Jan 2025 1 repository listed
  We propose a novel counterfactual learning strategy that leverages semantic guidance to reason about hypothetical degradation scenarios, leading to theoretically-grounded representations that capture invariant features…
• MECD+: Unlocking Event-Level Causal Graph Discovery for Video Reasoning
  13 Jan 2025 1 repository listed
  Given visual segments and textual descriptions of events, MECD identifies the causal associations between these events to derive a comprehensive and structured event-level video causal graph explaining why and how the…
• Do LLMs Have the Generalization Ability in Conducting Causal Inference?
  15 Oct 2024 1 repository listed
  In this paper, we selected four tasks: Causal Path Discovery (CP), Backdoor Adjustment (BA), Factual Inference (FI), and Counterfactual Inference (CI) as representatives of causal inference tasks.
• Counterfactual Causal Inference in Natural Language with Large Language Models
  8 Oct 2024 1 repository listed
  We propose an end-to-end causal structure discovery and causal inference method from natural language: we first use an LLM to extract the instantiated causal variables from text data and build a causal graph.
• Modality-Balanced Learning for Multimedia Recommendation
  26 Jul 2024 1 repository listed
  To address these issues, we propose a Counterfactual Knowledge Distillation method that could solve the imbalance problem and make the best use of all modalities.
• Self-Distilled Disentangled Learning for Counterfactual Prediction
  9 Jun 2024 1 repository listed
  The advancements in disentangled representation learning significantly enhance the accuracy of counterfactual predictions by granting precise control over instrumental variables, confounders, and adjustable variables.
• Take its Essence, Discard its Dross! Debiasing for Toxic Language Detection via Counterfactual Causal Effect
  3 Jun 2024 1 repository listed
  Current methods of toxic language detection (TLD) typically rely on specific tokens to conduct decisions, which makes them suffer from lexical bias, leading to inferior performance and generalization.
• Disentangling ID and Modality Effects for Session-based Recommendation
  19 Apr 2024 1 repository listed
  At the item level, we introduce a co-occurrence representation schema to explicitly incorporate cooccurrence patterns into ID representations.
• Counterfactual contrastive learning: robust representations via causal image synthesis
  14 Mar 2024 1 repository listed Syntology ran 9 of 13 samples · 4 unverified
  Contrastive pretraining is well-known to improve downstream task performance and model generalisation, especially in limited label settings.
• Doubly Abductive Counterfactual Inference for Text-based Image Editing
  5 Mar 2024 1 repository listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  Through the lens of the formulation, we find that the crux of TBIE is that existing techniques hardly achieve a good trade-off between editability and fidelity, mainly due to the overfitting of the single-image…
• Counterfactual Influence in Markov Decision Processes
  13 Feb 2024 1 repository listed
  Our work addresses a fundamental problem in the context of counterfactual inference for Markov Decision Processes (MDPs).
• Debiasing Recommendation with Personal Popularity
  12 Feb 2024 1 repository listed
  Many methods have been proposed to reduce GP bias but they fail to notice the fundamental problem of GP, i.
• Offline Imitation Learning with Variational Counterfactual Reasoning
  7 Oct 2023 1 repository listed
  We theoretically analyze the influence of the generated expert data and the improvement of generalization.
• Simulating counterfactuals
  27 Jun 2023 1 repository listed
  Counterfactual inference considers a hypothetical intervention in a parallel world that shares some evidence with the factual world.
• Path-Specific Counterfactual Fairness for Recommender Systems
  5 Jun 2023 1 repository listed
  But since sensitive features may also affect user interests in a fair manner (e.
• Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model
  2 Jun 2023 1 repository listed
  We further show that existing point counterfactual identification methods are special cases of our Curvature Sensitivity Model when the bound of the curvature is set to zero.
• Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation
  25 May 2023 1 repository listed
  To tackle this problem, we propose a deep learning framework based on `\textit{soft weight sharing}' to train ITE learners, enabling \textit{dynamic end-to-end} information sharing among treatment groups.
• Achieving Counterfactual Fairness with Imperfect Structural Causal Model
  26 Mar 2023 1 repository listed
  Counterfactual fairness alleviates the discrimination between the model prediction toward an individual in the actual world (observational data) and that in counterfactual world (i.
• Measuring axiomatic soundness of counterfactual image models
  2 Mar 2023 1 repository listed Syntology ran 1 of 2 samples · 1 unverified
  We present a general framework for evaluating image counterfactuals.
• A Counterfactual Collaborative Session-based Recommender System
  31 Jan 2023 1 repository listed
  Next, COCO-SBRS adopts counterfactual inference to recommend items based on the outputs of the pre-trained recommendation model considering the causalities to alleviate the data sparsity problem.
• Causal Inference for Knowledge Graph based Recommendation
  20 Dec 2022 1 repository listed
  Knowledge Graph (KG), as a side-information, tends to be utilized to supplement the collaborative filtering (CF) based recommendation model.
• Learning to Bound Counterfactual Inference from Observational, Biased and Randomised Data
  6 Dec 2022 1 repository listed
  We address the problem of integrating data from multiple, possibly biased, observational and interventional studies, to eventually compute counterfactuals in structural causal models.

Syntology lines on 6 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. Read from the graph 2026-09-24.