Covariates

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5 papers in the last four weeks, up 67% on the four weeks before. 0.0% of all new papers.

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  1. Generalized Engression Models

    Oct 1, 2026Xinwei Shen, Zijian Guo, Francis BachGeneralized Linear ModelExponential Family

    Department of Statistics, University of Washington · Center for Data Science, Zhejiang University · Inria, ´Ecole Normale Sup´erieure, PSL Research University

  2. When AI Generates Covariates: Causal Typing and Estimand Drift in Sequential Experiments

    Sep 15, 2026Takes Fujita, Nobutaka HattoriCausal InferencesCovariates

    VRI · Department of Neurology, Juntendo University School of Medicine

  3. Transfer Learning for Socioeconomic Estimation in Forced-Displacement Settings

    Sep 14, 2026Steven Ndung'u, Adel Daoud, Ismael Yacoubou Djima +2Humanitarian ReportsSri Lanka

    The United Nations High Commissioner for Refugees, Denmark · Chalmers University, Sweden · The World Bank, USA

  4. General Quantification of Covariate and Concept Shifts

    Sep 12, 2026Hongbo Chen, Li Charlie XiaCovariate ShiftDistribution Shifts

    Department of Statistics and Financial Mathematics, School of Mathematics, South China University of Technology, Guangzhou, China.

  5. Optimal estimation for Functional Linear Regression with Noisy Discretized Data

    Sep 8, 2026Sixtine SphabmixayCovariatesNoisy Data

    Université Paris Cité, CNRS, MAP5, F-75006 Paris, France

  6. Neural ODE enhanced linear mixed effect models for estimating complex association patterns of time-varying covariates with the marker trajectory

    Aug 30, 2026Zhe Aurore Li, Quentin Clairon, Cécilia Samieri +3CovariatesGeneralized Linear Model

    Univ. Bordeaux, Inserm, BPH, UMR 1219, 33000 Bordeaux, France · INRIA SISTM, 33000 Bordeaux, France · Vaccine Research Institute, 94010 Creteil, France

  7. General Probabilities of Causation with Causal Knowledge

    Aug 12, 2026Xin Shu, Zhen Lei, Ang LiCausal ModelingCausal

    Department of Computer Science, Florida State University

  8. Frozen Brain-MRI Foundation Models Are Site Fingerprints

    Aug 10, 2026Saman RahbarFunctional Magnetic Resonance ImagingFingerprint

    University of British Columbia, Vancouver, Canada

  9. CLAM: Causal Spatial Disaggregation to Infer Local Effects From Coarse Data

    Aug 8, 2026Gerrit Großmann, Sumantrak Mukherjee, Sebastian J. VollmerCovariatesCoarse

    DFKI∗ · RPTU

  10. Minimax-Optimal Semiparametric Contextual Dynamic Pricing with Multimodal Revenue

    Aug 4, 2026Xueping Gong, Zhuoluo Zhang, Zhaowei Miao +1Dynamic PricingPrices

    School of Management, Xiamen University · Department of Industrial Engineering and Decision Analytics, The Hong Kong University of Science and Technology

  11. Causal Inference with Unstructured Outcomes

    Aug 4, 2026Kevin Christian Wibisono, Yixin WangCausal InferencesCovariates

    Department of Statistics University of Michigan, Ann Arbor

  12. Can Training Logs Make Model Comparisons More Precise?

    Aug 3, 2026Wei-Jung HuangBias-Variance DecompositionCovariates

    Independent Researcher.

  13. GeoID-PINN: Identifiability-Aware Regional Epidemic Inference with Geographic Coupling

    Jul 28, 2026Weixiong Hua, Fan BuEpidemiological ModelsTemporal Dependence

    Department of Biostatistics · University of Michigan · Ann Arbor, Michigan, USA

  14. Longitudinal Random Forests for Sparse and Irregular Response Trajectories

    Jul 23, 2026Yangsheng Wang, Xiaotian Dai, Haoda Fu +1CovariatesLongitudinal Data

    Department of Mathematics and Statistics, Binghamton University, Binghamton, New York 13902, USA · Department of Mathematics, Illinois State University, Normal, Illinois 61790, USA · Department of Biostatistics, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA

  15. Deep Shape Regression for Planar Curves with Multimodal Covariates

    Jul 21, 2026Manuel Pfeuffer, Roshan Prakash Rane, Hadya Yassin +2Statistical Shape ModelCurves

    Humboldt-Universität zu Berlin, Berlin, Germany · Hertie Institute for AI in Brain Health, Universität Tübingen, Tübingen, Germany · Universität Tübingen, Tübingen, Germany +1

  16. Causal-Adversarial Probing of Clinical Covariates for Prostate MRI Grading

    Jul 16, 2026Yipei Wang, Shiqi Huang, Wen Yan +6Prostate Magnetic Resonance ImagingCovariates

    UCL Hawkes Institute, University College London, London, UK · Department of Medical Physics and Biomedical Engineering, University College London, London, UK · Department of Urology, University College London Hospital, London, UK +4

  17. ANGLE: Angular Neural Generative Learning via Engression

    Jul 14, 2026Rajdeep Pathak, Archi Roy, Tanujit ChakrabortyExponential FamilyWind

    LPSM, Sorbonne Université, Paris, France · SAFIR, Sorbonne University Abu Dhabi, UAE · Indian Institute of Management, Kozhikode, India

  18. Partial Identification with Multiple Nonlinear Measurements of a Latent Regressor

    Jul 13, 2026Burhan Ogut, Michelle YinCovariatesCausal Inferences

    American Institutes for Research. · Northwestern University, School of Education and Social Policy.

  19. Integrating Neural Encoders in Bayesian Generalized Linear Mixed Models for Multimodal Data

    Jul 6, 2026Yuankang Zhao, Youngsoo Baek, Felipe A. Medeiros +2Generalized Linear ModelMultimodal Learning

    Department of Biostatistics & Bioinformatics, Duke University · Department of Ophthalmology, University of Miami

  20. On Pairwise Quantile Regression -- Statistical Guarantees and Applications

    Jul 5, 2026Romain Thérézien, Stephan Clémençon, Fantin Girard +1Multi-Quantile RegressionQuantile Regression

    1LTCI, Télécom Paris, Institut Polytechnique de Paris · 2Idémia · 3Télécom Sud-Paris, Institut Polytechnique de Paris

  21. Exogenous Dropout: A Simple, Strong Baseline for Corruption-Robust Time Series Forecasting with Covariates

    Jul 5, 2026Hao Hu, Xue-shan AiTime Series ForecastingTime Series

    State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan 430072, China · Hubei Key Laboratory of Water System Science for Sponge City Construction (Wuhan University), Wuhan 430072, China

  22. Ask the Right Comparison:Bias-Aware Bayesian Active Top-kk Ranking with LLM Judges

    Jul 2, 2026Jian Xu, Delu Zeng, John Paisley +1Large Language Model JudgesPosition Bias

    RIKEN iTHEMS · RIKEN AIP · South China University of Technology +1

  23. Spatio-Temporal Gaussian Process for Building Terrain-Incorporating Wind Power Curves

    Jun 30, 2026Ahmadreza Chokhachian, V. Roshan Joseph, Yu DingOffshore Wind TurbineCovariates

    H. Milton Stewart School of Industrial and Systems Engineering Georgia Institute of Technology

  24. Accelerometry-Derived Digital Biomarkers for Cardiometabolic Risk: A Population-Representative Tabular Benchmark with Uncertainty Quantification

    Jun 29, 2026Federico FelizziCardiovascular Risk PredictionDiabetes

    SIIAM, Rome, Italy · enGene Statistics, Basel, Switzerland.

  25. Target-Aware Linear Regression Under Distribution Shift

    Jun 22, 2026Zhewen Hou, Tian ZhengCovariate ShiftDistribution Shifts

    Department of Statistics Columbia University New York, NY

  26. Multi-Modal Spatio-Temporal Graph Neural Network with Mixture of Experts for Soil Organic Carbon Prediction

    Jun 15, 2026Daniele Mos, Felipe Drummond, Anton Bossenbroek +1SoilTemporal Graph Neural Networks

    Spatialise B.V.

  27. From Hazard Functions to Language Space: Cox-Supervised Distillation of Survival Risk into a Large Language Model

    Jun 8, 2026Nicholas I-Hsien Kuo, Blanca Gallego, Louisa JormTime-To-Event DataSurvival Analysis

    Centre for Big Data Research in Health, the University of New South Wales, Sydney, Australia

  28. Off-Policy Evaluation with Strategic Agents via Local Disclosure

    Jun 5, 2026Kiet Q. H. Vo, Abbavaram Gowtham Reddy, Julian Rodemann +2Off-Policy LearningStrategic Agents

    Rational Intelligence Lab, CISPA Helmholtz Center for Information Security, Saarbrücken, Germany · Relational Machine Learning Lab, CISPA Helmholtz Center for Information Security, Saarbrücken, Germany · Department of Statistics, LMU Munich, Germany +1

  29. Conditional Hypothesis Generation for LLM-Based Text Analysis with Researcher-Specified Covariates

    Jun 2, 2026Paiheng Xu, Jing Liu, Wei AiComputational Social ScienceCovariates

    University of Maryland, College Park

  30. Semi-Supervised Learning with Noisy Proxy Covariates: Generalization Bounds and Distribution Regression

    May 30, 2026Kwangho Kim, Jisu KimSemi-Supervised LearningCovariates

    Department of Statistics, Korea University, Seoul, Korea · Department of Statistics, Seoul National University, Seoul, Korea

  31. Modeling Covariate Transition for Efficient Estimation of Longitudinal Treatment Effects in Randomized Experiments

    May 29, 2026Naoki Chihara, Tatsushi Oka, Yasuko Matsubara +2Heterogeneous Treatment EffectsCovariate Balancing

    SANKEN, The University of Osaka, Osaka, Japan · CyberAgent AI Lab · Keio University, Tokyo, Japan +1

  32. Distributionally Robust Transfer Learning with Structurally Missing Covariates, with Application to Cross-National Cardiac Arrest Prediction

    May 22, 2026Siqi Li, Chuan Hong, Ziye Tian +9Clinical PredictionCovariates

    Centre for Biomedical Data Science, Duke-NUS Medical School, Singapore · 2Duke-NUS AI + Medical Sciences Initiative, Duke-NUS Medical School, Singapore · Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA +13

  33. KAPLAN: Kolmogorov-Arnold Prognostic Learnable Activation Networks for Survival Analysis

    May 21, 2026Stelios Boulitsakis Logothetis, Angela Wood, Pietro LiòSurvival AnalysisSurvival Predictions

    University of Cambridge

  34. Increasing Missingness to Reduce Bias: Richardson-SGD with Missing Data

    May 19, 2026Ferdinand Genans, Erwan ScornetMissing DataStochastic Gradient Descent

    SU, LPSM · Sorbonne Université and Université Paris Cité, CNRS, Laboratoire de Probabilités, Statistique et Modélisation, LPSM, F-75005 Paris, France

  35. GeoViSTA: Geospatial Vision-Tabular Transformer for Multimodal Environment Representation

    May 14, 2026Yuhao Liu, Sadeer Al-Kindi, Ashok Veeraraghavan +1Spatio-Temporal TransformersModality Gap

    Department of Electrical and Computer Engineering, Rice University, Houston, TX 77005 · Center for Cardiovascular Computational and Precision Health, Department of Cardiology, DeBakey Heart and Vascular Center, Houston Methodist, Houston, TX 77030

  36. ConfoundingSHAP: Quantifying confounding strength in causal inference

    May 11, 2026Marie Brockschmidt, Santo M. A. R. Thies, Maresa Schröder +5Latent ConfoundersCausal Inferences

    LMU Munich · Munich Center for Machine Learning (MCML) · German Research Center for Artificial Intelligence (DFKI)

  37. DARTS: Targeting Prognostic Covariates in Budget-Constrained Sequential Experiments

    May 7, 2026Kateryna Husar, Alexander VolfovskyCovariate BalancingBayesian Experimental Design

    Department of Statistical Science Duke University Durham, NC 27705

  38. Copula-Based Endogeneity Correction for Doubly Robust Estimation of Treatment Effect

    May 5, 2026Sahil Shikalgar, Md. Noor-E-AlamHeterogeneous Treatment EffectsCovariates

    Department of Mechanical and Industrial Engineering, Northeastern University, Boston, MA 02115, USA

  39. Geospatial foundation-model embeddings improve population estimation unevenly across space and scale

    May 3, 2026Wenbin Zhang, Eimear Cleary, Francisco Rowe +4Geospatial Foundation ModelsPopulations

    WorldPop, School of Geography and Environmental Sciences, University of Southampton, United Kingdom · Geographic Data Science Lab, Department of Geography and Planning, School of Environmental Sciences, University of Liverpool, United Kingdom

  40. Self-Normalized Martingales and Uniform Regret Bounds for Linear Regression

    May 2, 2026Fan Chen, Jian Qian, Alexander Rakhlin +1\Widetilde{\Mathcal{O}}(\Sqrt{T})$ RegretConformal Test Martingales

    MIT · University of Hong Kong · UC Berkeley

  41. Stabilizing Private LASSO under Heterogeneous Covariates via Anisotropic Objective Perturbation

    May 2, 2026Haruka Tanzawa, Ayaka SakataLassoCovariates

    Department of Information Science · RIKEN center for AIP

  42. Predicting Covariate-Driven Spatial Deformation for Nonstationary Gaussian Processes

    Apr 30, 2026Minghao Gu, Weizhi Lin, Qiang HuangGaussian ProcessCovariates

    Daniel J. Epstein Department of Industrial & Systems Engineering, Univeristy of Southern California · Charles W. Davidson College of Engineering, San José State University

  43. AlphaEarth Satellite Embeddings for Modelling Climate Sensitive Diseases Towards Global Health Resilience

    Apr 29, 2026Usman Nazir, I-Han Cheng, Sara KhalidAccurate Dengue ForecastingClimate

    Planetary Health Informatics (PHI) Lab, University of Oxford

  44. Who Trains Matters: Federated Learning under Enrollment and Participation Selection Biases

    Apr 29, 2026Gota MorishitaFederated LearningSelection Bias

    Centre for Brain, Mind and Markets University of Melbourne Parkville, Victoria, Australia

  45. Generative Synthetic Data for Causal Inference: Pitfalls, Remedies, and Opportunities

    Apr 26, 2026Yichen XuCausal InferencesSynthetic Data

    University of California, Berkeley

  46. CLVAE: A Variational Autoencoder for Long-Term Customer Revenue Forecasting

    Apr 24, 2026Jeffrey Näf, Riana Valera Mbelson, Markus MeiererConditional Variational AutoencoderAutoregressive Model

    Research Institute for Statistics and Information Science, University of Geneva · Institute of Management, University of Geneva

  47. LLM-Extracted Covariates for Clinical Causal Inference: Rethinking Integration Strategies

    Apr 18, 2026Lei Liu, Jialin Chen, Kathy MacropolCausal InferencesCovariates

    Department of Computer Science and Mathematics Arcadia University Glenside, PA, USA · Department of Computer Science Yale University New Haven, CT, USA

  48. Competition-Aware CPC Forecasting with Near-Market Coverage

    Mar 13, 2026Sebastian Frey, Edoardo Beccari, Maximilian Kranz +4Click-Through Rate PredictionCovariates

    *Nova School of Business and Economics, Portugal · †University of Hamburg, Germany

  49. Multiplicative Oracle Inequalities for Transductive Learning via Level-Set Aggregation

    Mar 2, 2026Jian Qian, Jiachen XuTransductive LearningCovariates

    The University of Hong Kong · Hong Kong University of Science and Technology

  50. Auditable Context-Aware HFMD Forecasting with Structured LLM Agents

    Nov 28, 2025Joongwon Chae, Runming Wang, Chen Xiong +5Data-Driven ForecastingEpidemiological Models

    Institute of Biomedicine and Health Engineering, Tsinghua Shenzhen International Graduate School (SIGS), Tsinghua University, Shenzhen, China · The First Hospital of Hebei Medical University, Shijiazhuang, China · The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui 323000, China +1

  51. Linear Regression under Missing or Corrupted Coordinates

    Sep 23, 2025Ilias Diakonikolas, Jelena Diakonikolas, Daniel M. Kane +2Corrupted InputsMissing Data

    University of Wisconsin-Madison · University of California, San Diego · University of California, Davis

  52. Conformalized Regression for Continuous Bounded Outcomes

    Jul 18, 2025Zhanli Wu, Fabrizio Leisen, F. Javier RubioConformal InferenceMulti-Quantile Regression

    Department of Mathematics King’s College London London, UK · Department of Statistical Science University College London London, UK

  53. Adaptively Truncated Signature-based Logistic Regression for Semi-parametric Functional Classification

    Jul 9, 2025Pengcheng Zeng, Siyuan JiangLogistic RegressionExponential Family

    Institute of Mathematical Sciences, ShanghaiTech University, Shanghai, China

  54. Deep learning with missing data

    Apr 21, 2025Tianyi Ma, Tengyao Wang, Richard J. SamworthImputationExponential Family

    Statistical Laboratory, University of Cambridge · Department of Statistics, London School of Economics

  55. Overcoming Dependent Censoring in the Evaluation of Survival Models

    Feb 26, 2025Christian Marius Lillelund, Shi-ang Qi, Russell GreinerSurvival AnalysisGaussian Copula

    Department of Computing Science, University of Alberta, Edmonton, Canada · Department of Electrical and Computer Engineering, Aarhus University, Aarhus, Denmark · Alberta Machine Intelligence Institute, Edmonton, Canada +1

  56. Learning from a Biased Sample

    Sep 5, 2022Roshni Sahoo, Lihua Lei, Stefan WagerEmpirical Risk MinimizationSelection Bias

    Stanford University