Influence Function

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4 papers in the last four weeks, with none the four weeks before. 0.0% of all new papers.

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  1. Incentive Alignment in Online Experimentation

    Oct 5, 2026Ermis Soumalias, Richard Mudd, Abbas ZaidiIncentivesBayesian Experimental Design

    Meta Platforms, Inc.

  2. How the Audit Rule Shapes Faithful Factor Explanations in LLMs

    Oct 1, 2026Taolin Zhang, Hanyu Wang, Jiuheng Wan +2Model AuditingLarge Language Model Reliability

    Hefei University of Technology · East China Normal University · Alibaba Cloud Computing

  3. Scaling Influence Functions in LLMs through Eigenbasis-Corrected One-Bit Gradient Projection

    Sep 29, 2026Jaeseung Heo, J Rosser, Dongwoo KimInfluence FunctionMulti-Stage Training

    POSTECH · University of Oxford

  4. Learning to Fluctuate: Statistical Foundations for Causal Tabular Pretraining

    Sep 22, 2026Zhiheng ZhangCausalPretraining

    School of Statistics and Data Science Shanghai University of Finance and Economics

  5. Data Attribution at Scale via Influence Matrix Estimation

    Sep 14, 2026Yuxi Chen, Hamza Golubovic, Han Tong +2Influence FunctionInfluence

    Carnegie Mellon University 1Department of Statistics & Data Science · Columbia University 2Department of Statistics · Columbia University 3Electrical Engineering Department +2

  6. Rethinking Learning-Based Influence Maximization: Simple Neural Surrogates and Native Discrete Search

    Aug 9, 2026Yiqiao Liao, Parinaz NaghizadehInfluence FunctionGraph Representation Learning

    UC San Diego

  7. Learning from the Unseen: Offline Reinforcement Learning with Hidden Actions

    Jul 28, 2026Zeyu Bian, Ying Zhou, Yifan CuiOffline Reinforcement LearningInfluence Function

    Department of Statistics, Florida State University · Department of Statistics, University of Connecticut · Center for Data Science, Zhejiang University

  8. A Characterization of the Orthocomplement of the Tangent Space of Semiparametric Markov Models

    Jul 26, 2026Trung Phung, Ilya ShpitserProbabilistic Graphical ModelsInfluence Function

    Computer Science Department, Johns Hopkins University, Baltimore, Maryland, USA

  9. Directional Influence Function: Estimating Training Data Influence in Constrained Learning

    Jul 25, 2026Xin Wang, R. Tyrrell Rockafellar, Xuegang +1Influence FunctionUncoupled Learning

    Jeff · Department of Civil and Environmental Engineering University of Washington Seattle, WA, USA · Department of Mathematics University of Washington Seattle, WA, USA

  10. An Adjoint-Sensitivity Framework for Lost-in-the-Middle Phenomena in Causal Residual Transformers

    Jul 20, 2026Cheng Huan, Hongwei YuanTransformer Residual StreamsTransformer Architectures

    Department of Statistics and Data Science, The Chinese University of Hong Kong. · Department of Mathematics, University of Macau.

  11. CDS: Counterfactual Directionality Score for Structured Interventions in Spatial Graphs

    Jul 15, 2026Humaira Anzum, Md Ishtyaq Mahmud, Jagan Mohan Reddy Dwarampudi +1Causal GraphInfluence Function

    Department of Electrical and Computer Engineering University of Houston, Houston, TX, USA

  12. Influence Diagnostics in High-dimensional M-estimation: Precise Asymptotics

    Jul 10, 2026Hugo CuiInfluence FunctionHigh-Dimensional

    Université Paris-Saclay, CNRS, Laboratoire de mathématiques d’Orsay, 91405, Orsay, France

  13. Symbolic Mechanistic Data Attribution: Tracing Training Influence to Learned Behavioral Policies

    Jun 28, 2026Reza Habibi, Darian Lee, Magy Seif El-NasrMechanistic InterpretabilityBehavioral Foundation Models

    University of California, Santa Cruz

  14. Distill on a Diet: Efficient Knowledge Distillation via Learnable Data Pruning

    Jun 24, 2026Yifan Wu, Yiqi Wang, Xichen Ye +5Knowledge DistillationInfluence Function

    School of Data Science, Fudan University · Faculty of Engineering, The Chinese University of Hong Kong · School of Computer Engineering and Science, Shanghai University +1

  15. DRIFT: Refining Instruction Data via On-Policy Data Attribution

    Jun 16, 2026Zefan Wang, Lincheng Li, Tianyu Yu +1Supervised FinetuningReinforcement Fine-Tuning

    Tsinghua University

  16. ATHENA: Accelerated Multi-Task Heterogeneous Influence Functions for Robot Data Curation

    Jun 15, 2026Tao Xu, Jiaxin Wang, Runhao Zhang +7Robotic Data AcquisitionDiffusion-Based Vision-Language-Actions

    1Tongji University · 2Shanghai Innovation Institute · 3Xi’an Jiaotong University +1

  17. Influcoder: Distilling Decoders' Gradient Influence Rankings into an Encoder for Data Attribution

    Jun 11, 2026Dimitri Kachler, Damien Sileo, Pascal DenisInfluence FunctionInfluence

    Centre Inria de l’Université de Lille, CRIStAL, Université de Lille

  18. Prediction-Powered Causal Inference by Automatic Debiased Machine Learning and Semi-Supervised Riesz Regression

    Jun 11, 2026Masahiro KatoCausal InferencesExponential Family

    Data Analytics Department, Mizuho-DL Financial Technology, Co., Ltd.

  19. DeMix: Debugging Training Data with Mixed Data Error Types by Investigating Influence Vectors

    Jun 10, 2026Jiale Deng, Yanyan Shen, Xiaogang Shi +1Training DataReasoning Errors

    Shanghai Jiao Tong University Shanghai, China · Tiktok San Jose, CA, USA

  20. Network Recovery from Cascade Data: A Debiased Jacobian-Based Machine Learning Approach

    Jun 5, 2026Lei HuangNetwork ScienceEpidemiological Models

    MIT Sloan School of Management

  21. Finding Most Influential Sets

    Jun 4, 2026Lucas D. Konrad, Nikolas KuschnigInfluence FunctionCross Validation

    Vienna University of Economics and Business, Austria · Monash University, Australia

  22. Refining Multidimensional Video Reward Models via Disentangled Influence Functions

    May 27, 2026Muyao Wang, Zeke Xie, Hideki NakayamaFine-Grained Video UnderstandingHeterogeneity

    The University of Tokyo · HKUST (Guangzhou)

  23. Proxy-Based Approximation of Shapley and Banzhaf Interactions

    May 21, 2026Santo M. A. R. Thies, Hubert Baniecki, R. Teal Witter +3Shapley ValueTree Ensembles

    LMU Munich · MCML · DFKI +4

  24. PRISM: Preference-Aware Influence Function Based Data Selection Method for Efficient Fine-Tuning

    May 20, 2026Qihao Lin, Guanxu Chen, Dongrui Liu +1Alignment-Aware SelectionModel Fine-Tuning

    Shanghai Artificial Intelligence Laboratory

  25. Semiparametric Efficient Bilevel Gradient Estimation

    May 20, 2026Fares El Khoury, Houssam Zenati, Nathan Kallus +2Bilevel OptimizationInfluence Function

    Université Grenoble Alpes, Inria, CNRS, Grenoble INP, LJK · Gatsby Computational Neuroscience Unit, University College London · Cornell University +1

  26. CLIF: Concept-Level Influence Functions for Transparent Bottleneck Models

    May 19, 2026Yike Sun, Mingkun Xu, Mu You +5InterpretabilityInfluence Function

    Tandon School of Engineering, New York University, USA · Guangdong Institute of Intelligence Science and Technology, Hengqin, China · Macau Millennium College, Macau SAR, China +1

  27. Zero-Shot Faithful Textual Explanations via Directional-Derivative Influence on Predictions

    May 16, 2026Toshinori Yamauchi, Hiroshi Kera, Kazuhiko KawamotoExplainabilityExplainable AI Methods

    Chiba University · National Institute of Informatics

  28. Interaction-Aware Influence Functions for Group Attribution

    May 15, 2026Jaeseung Heo, Kyeongheung Yun, Youngbin Choi +3Influence FunctionInfluence

    GSAI, POSTECH · CSE, POSTECH

  29. What makes a word hard to learn? Modeling L1 influence on English vocabulary difficulty

    May 12, 2026Jonas Mayer Martins, Zhuojing Huang, Aaricia Herygers +1Language AcquisitionCross-Lingual Transfer

    University of Göttingen, Germany

  30. Extending Kernel Trick to Influence Functions

    May 11, 2026Zhenhuan Sun, Shahrokh ValaeeInfluence FunctionInfluence

    University of Toronto

  31. Debiased Counterfactual Generation via Flow Matching from Observations

    May 8, 2026Hugh Dance, Johnny Xi, Peter Orbanz +1Counterfactual GenerationLatent Confounders

    Gatsby Computational Neuroscience Unit University College London · Department of Statistics University of British Columbia

  32. Bandits on graphs and structures

    May 5, 2026Michal ValkoBanditsInfluence Function

    L’ÉCOLE NORMALE SUPÉRIEURE DE CACHAN

  33. The 2026 ACII Dyadic Conversations (DaiKon) Workshop & Challenge

    May 4, 2026Panagiotis Tzirakis, Alice Baird, Jeffrey Brooks +6ChallengesInfluence Function

    Hume AI New York, USA · University of Music Nuremberg Nuremberg, Germany · BMW Group Munich, Germany

  34. The Dynamics of Delusion: Modeling Bidirectional False Belief Amplification in Human-Chatbot Dialogue

    Apr 28, 2026Ashish Mehta, Jared Moore, Jacy Reese Anthis +6ChatbotsImpact Analysis

    1Stanford University · 2Carnegie Mellon University · 3The University of Texas at Austin

  35. Concave Statistical Utility Maximization Bandits via Influence-Function Gradients

    Apr 24, 2026Matías Carrasco, Alejandro CholaquidisStochastic Multi-Armed BanditsMirror Descent

    Universidad ORT Uruguay Montevideo, Uruguay · Facultad de Ciencias Universidad de la República Montevideo, Uruguay

  36. Budgeted Online Influence Maximization

    Apr 21, 2026Pierre Perrault, Jennifer Healey, Zheng Wen +1Influence FunctionAds

    Adobe Research, San Jose, CA · ENS Paris-Saclay · DeepMind +1

  37. Enhancing Discrete Particle Swarm Optimization for Hypergraph-Modeled Influence Maximization

    Apr 17, 2026Qianshi Wang, Xilong Qu, Wenbin Pei +2HypergraphsNetwork Science

    International School of Information Science & Engineering, Dalian University of Technology, Dalian 116024, China · School of Computer Science and Technology, Dalian University of Technology, Dalian 116024, China; Key Laboratory of Social Computing and Cognitive Intelligence (Dalian University of Technology), Ministry of Education, Dalian 116024, China · School of Artificial Intelligence, Shanxi University, Taiyuan 237016, China +1

  38. LLM Evaluation as Tensor Completion: Low Rank Structure and Semiparametric Efficiency

    Apr 7, 2026Jiachun Li, David Simchi-Levi, Will Wei SunLarge Language Model EvaluationUncertainty Score

    Massachusetts Institute of Technology · Purdue University

  39. Learning Peer Influence Probabilities with Linear Contextual Bandits

    Oct 21, 2025Ahmed Sayeed Faruk, Mohammad Shahverdikondori, Elena ZhelevaContextual Bandit FrameworkInfluence Function

    University of Illinois Chicago, Chicago, USA · École Polytechnique Fédérale de Lausanne, Switzerland

  40. Semiparametric Inference for Counterfactual Regression under Intervention-Driven Shift

    Apr 3, 2025Kwangho KimExponential FamilyInfluence Function

    Department of Statistics, Korea University

  41. Influence-Oriented Personalized Federated Learning

    Oct 4, 2024Yue Tan, Guodong Long, Jing Jiang +1Federated LearningInfluence Function

    Griffith University · University of Technology Sydney · Hong Kong Polytechnic University

  42. Multiply Robust Causal Mediation Analysis with Continuous Treatments

    May 19, 2021Yizhen Xu, AmirEmad Ghassami, Numair Sani +1Causal Mediation AnalysisHeterogeneous Treatment Effects

    Division of Biostatistics, Department of Population Health Sciences, University of Utah, USA · Department of Mathematics and Statistics, Boston University, USA · Department of Computer Science, Johns Hopkins University, USA

  43. Deep Learning for Individual Heterogeneity

    Oct 28, 2020Max H. Farrell, Tengyuan Liang, Sanjog MisraHeteroskedasticityHeterogeneity

    Department of Economics, UC Santa Barbara · Booth School of Business, University of Chicago