Counterfactual Learning

Latest papers 58

All topics
CardsList
  1. Counterfactual Route Optimization for Gaussian Head Avatar Modeling

    Oct 7, 2026Shikun Zhang, Yong Li, Yiqun Wang +23D Avatar GenerationMulti-Objective Optimization

  2. World Models Dream of Success: Diagnosing and Repairing Failure Insensitivity in Robot World Models

    Oct 6, 2026Jiuyi Xu, Xiao Hu, Meida Chen +3World Models for RoboticsAction-Conditioned World Models

  3. Independent Multi-Agent Reinforcement Learning with Counterfactual Semantic-Social World Models

    Oct 6, 2026Fernando Martinez, Tao Li, Yingdong Lu +1Sequential MARLAction-Conditioned World Models

  4. Counterfactual Generation via Flow Matching: Coupling-Sensitive End-to-End Rates

    Oct 1, 2026Yunrui Guan, Krishnakumar Balasubramanian, Shiva Prasad KasiviswanathanFlow MatchingCausal Counterfactual Generation

  5. ASCT: Attentive Search over Counterfactual Trees for Credit Assignment in Agentic Reinforcement Learning

    Sep 28, 2026Yang Li, Jinhan Yang, hai liu +8Agentic RLCredit Assignment in RL

  6. Counterfactual Rollout Replay: Forkable Environments as Free Process Rewards for Software Engineering Agents

    Sep 27, 2026Yuanhao Li, Hongbo Wang, Xuhong Chen +2RL for Code GenerationSoftware Engineering Agents

  7. OSCC: Certified Observation-Safe Coupling Optimization for Gradient-Noise Control in Imperfect-Information Learning

    Sep 27, 2026Miaobo Hu, Shuhao Hu, Xiaobo Guo +5Partially Observable RLPolicy Gradient Methods

  8. PCQC: Privileged Counterfactual Question Credit for Multi-Turn Medical Dialogue

    Sep 23, 2026Chenxuan Li, Jiayi Wan, Xinrong Chen +3Clinical ReasoningMedical LLMs

  9. Dual-Frontier: When Can an Agent Trust Its World Model?

    Sep 22, 2026Huatai Zhu, Qiang Chen, Ziqian Kou +5World Model-Based PlanningModel-Based Planning

  10. Conformal Policy Learning with Distribution-Free Safety Guarantees

    Sep 15, 2026Ying Jin, Naoki EgamiConformal PredictionCausal Inference

  11. Counterfactual Contrastive Analysis

    Aug 19, 2026Yunlong He, Pietro GoriCounterfactual ExplanationsImage Generation

  12. Low-Rank Dynamics-Effective Latent Carriers for Counterfactual Rollout in Learned World Models

    Aug 15, 2026Yang Liu, Yuming ChenWorld Model LearningLatent World Models

  13. Chance-constrained selection of sequential intervention strategies from counterfactual estimates

    Aug 13, 2026Minkyoung Kim, Beakcheol JangStochastic OptimizationChance-Constrained Optimization

  14. Overcoming Statistical Bias in Action-Controllable World Models

    Aug 5, 2026Yuhong Shi, Zhenhao Chu, Jie Wei +3World ModelsAction-Conditioned World Models

  15. Class-Aware Reinforcement Learning for Counterfactual Explanation Generation

    Jul 30, 2026Muhammad Adil Saleem, Syed Ali Raza, Mary-Anne WilliamsCounterfactual ExplanationsCounterfactual Learning

  16. CHILL-Harness: Counterfactual Harness Learning for Efficient Reasoning in Long-Horizon Agents

    Jul 28, 2026Jiarun Fu, Lizhong Ding, Sida Chen +6Agent Harness OptimizationLong-Horizon LLM Agents

  17. Counterfactual Motion Reliability Learning for Robust UAV Tracking

    Jul 25, 2026Yuehai ChenVisual Object TrackingCounterfactual Learning

  18. Counterfactual Shapley Credit Assignment

    Jul 18, 2026Mingxuan Li, Kai-Zhan Lee, Elias BareinboimCredit Assignment in RLTemporal Credit Assignment

  19. CausalGraphX: A Counterfactual Graph Neural Network Framework for Explainable Systemic Risk Assessment

    Jul 15, 2026Rabimba Karanjai, Hemanth Madhavarao, Lei Xu +1Causal Representation LearningAI Risk Management

  20. Resist and Update: Counterfactual Report Coordinates for Incentive-Compatible LLMs

    Jul 14, 2026Sen Yang, Yuen-Hei YeungLLM AlignmentCausal Interventions in Language Models

  21. Play Like Champions: Counterfactual Feedback Generation in Latent Space

    Jun 30, 2026Andrzej Białecki, Adam Mastalerz, Han ZhouCounterfactual LearningAlgorithmic Recourse

  22. An Introduction to Causal Reinforcement Learning

    Jun 23, 2026Elias Bareinboim, Junzhe Zhang, Sanghack LeeReinforcement LearningCausal Inference

  23. ConTex: Reformulating Counterfactual Generation For Time Series Forecasting

    Jun 16, 2026Jan Voets, Hasan Tercan, Tobias Meisen +1Explainable Time Series ForecastingCounterfactual Explanations

  24. Faithful Action-unit Causal Reasoning for Counterfactually Faithful Emotion Explanations

    Jun 14, 2026Van Thong Huynh, Hong Hai Nguyen, Thuy Pham +2Counterfactual EvaluationCounterfactual Explanations

  25. Querying Counterfactuals on Tissue Graphs with Supervised Disentanglement

    Jun 7, 2026Abdul Moeed, Stefan Schrod, Martin Rohbeck +4Spatial TranscriptomicsDisentangled Representation Learning

  26. Are Good Generators Good Decision-Makers? Policy Learning for General Interventions via Retargeted Counterfactual Generation

    Jun 5, 2026Raphael C Kim, Jingsen Zhu, Ramin Zabih +1Reinforcement LearningCausal Counterfactual Generation

  27. Causal Longitudinal Prior-Fitted Networks for Counterfactual Outcome Prediction

    Jun 4, 2026Amirhossein Zare, Amirhessam Zare, Herlock Rahimi +2Structural Causal ModelsCounterfactual Prediction

  28. Benchmarking Counterfactual Prediction in Epidemic Time Series with Time-Varying Interventions

    Jun 4, 2026Wenhao Mu, Facundo Yan, Anik Mumssen +2Forecasting BenchmarksCounterfactual Prediction

  29. CFCamo: A Counterfactual Detect-or-Abstain Framework for Camouflaged Object Detection

    May 28, 2026Suhang Li, Osamu Yoshie, Yuya IeiriSelective PredictionObject Hallucination in VLMs

  30. On the Hidden Costs of Counterfactual Knowledge Training in LLM Unlearning

    May 26, 2026Xiaotian Ye, Xiaohan Wang, Mengqi Zhang +1Knowledge Conflicts in Language ModelsHallucination in Language Models

  31. Learning Spatiotemporal Sensitivity in Video LLMs via Counterfactual Reinforcement Learning

    May 21, 2026Dazhao Du, Jian Liu, Jialong Qin +7Counterfactual EvaluationVideo-Language Models

  32. COAL: Counterfactual and Observation-Enhanced Alignment Learning for Discriminative Referring Multi-Object Tracking

    May 14, 2026Shukun Jia, Shiyu Hu, Yipei Wang +3Counterfactual LearningMulti-Object Tracking

  33. Learning More from Less: Exploiting Counterfactuals for Data-Efficient Chart Understanding

    May 11, 2026Jianzhu Bao, Haozhen Zhang, Kuicai Dong +5Data VisualizationVLM Adaptation

  34. Debiased Counterfactual Generation via Flow Matching from Observations

    May 8, 2026Hugh Dance, Johnny Xi, Peter Orbanz +1Flow MatchingCausal Counterfactual Generation

  35. SpecPL: Disentangling Spectral Granularity for Prompt Learning

    May 6, 2026Jingtao Zhou, Xirui Kang, Feiyang Huang +1VLM AdaptationFrequency-Domain Feature Learning

  36. CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies

    May 6, 2026Keyu Chen, Nanfei Ye, Yida Wang +4Reinforcement LearningAutonomous Driving Planning

  37. Counterfactual identifiability beyond global monotonicity: non-monotone triangular structural causal models

    May 6, 2026Pengcheng Tan, Jiang Chen, Dehui DuStructural Causal ModelsCausal Counterfactual Generation

  38. Machine learning models for estimating counterfactuals in a single-arm inflammatory bowel disease study

    Apr 25, 2026Dan Liu, Fida K. Dankar, Jennifer C. deBruyn +4Causal Effect EstimationClinical Outcome Prediction

  39. DeepImagine: Learning Biomedical Reasoning via Successive Counterfactual Imagining

    Apr 24, 2026Youze Zheng, Jianyou Wang, Yuhan Chen +8LLM Fine-TuningCounterfactual Reasoning in Language Models

  40. A Probabilistic Consensus-Driven Approach for Robust Counterfactual Explanations

    Apr 19, 2026Marcin Kostrzewa, Maciej Zięba, Jerzy StefanowskiCounterfactual ExplanationsConditional Generative Modeling

  41. AULLM++: Structured-Token-Conditioned Large Language Models for Micro-Expression Action Unit Detection

    Mar 9, 2026Zhishu Liu, Kaishen Yuan, Bo Zhao +2Facial Action Unit DetectionFacial Expression Recognition

  42. Counterfactual Modeling with Fine-Tuned LLMs for Health Intervention Design and Sensor Data Augmentation

    Jan 21, 2026Shovito Barua Soumma, Asiful Arefeen, Stephanie M. Carpenter +2Counterfactual ExplanationsLLM Fine-Tuning

  43. Did Models Learn Sufficiently? Attribution-Guided Training via Subset-Selected Counterfactual Augmentation

    Nov 15, 2025Yannan Chen, Ruoyu Chen, Wei Wang +6Adversarial RobustnessOOD Generalization

  44. SPARC: Scalable Path-Specific Counterfactual Fairness via Causal Conditional Independence

    Dec 6, 2024Bowei Tian, Yexiao He, Ziyao Wang +3Debiased MLAlgorithmic Fairness

  45. Hierarchical Deep Counterfactual Regret Minimization

    May 27, 2023Jiayu Chen, Xudong Wu, Zhekai Wang +1Imperfect-Information GamesHierarchical RL