Importance Weighting

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6 papers in the last four weeks, with none the four weeks before. 0.1% of all new papers.

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  1. Reusing Past Samples in Proximal Policy Optimization: When and How Does It Help?

    Oct 1, 2026Alessandro Montenegro, Riccardo Venturelli, Marco Mussi +2Proximal Policy OptimizationOff-Policy Learning

    Politecnico di Milano, Milan, Italy · Università degli Studi di Milano, Milan, Italy

  2. Cross-entropy optimization with prioritized constraints

    Oct 1, 2026Francisco Roldan Sanchez, Pau de las Heras Molins, David Fridovich-Keil +1Constrained OptimizationPrioritization

    LTCI, Télécom Paris, Institut Polytechnique de Paris · The University of Texas at Austin

  3. Sharp training-conditional coverage for conformal prediction under covariate shift

    Sep 27, 2026Mehrdad PournaderiOnline Conformal PredictionCovariate Shift

    Mofid Securities

  4. Learning Risk Scores Robust to Unobserved Confounders

    Sep 22, 2026Ryan Edmonds, Yingxiao Ye, Sina Aghaei +3Risk StratificationImportance Weighting

    Center for Artificial Intelligence in Society, University of Southern California, Los Angeles, CA 90089, USA · Department of Industrial and Systems Engineering, University of Southern California, Los Angeles, CA 90089, USA · Department of Engineering, Department of Economics and Management, University of Luxembourg, L-1359 Luxembourg

  5. From matrix inversion to constraints: provably tighter confidence regions for importance weights in label shift

    Sep 13, 2026Mushan Li, Kihyun Han, Yanyuan MaImportance WeightingDomain Adaptation

    Department of Statistics, The Pennsylvania State University University Park, PA 16802, USA

  6. Importance Weighting for Unlabeled-unlabeled Learning under Distribution Shift

    Sep 12, 2026Atsutoshi Kumagai, Tomoharu Iwata, Hiroshi Takahashi +3Positive--Unlabeled LearningUnlabeled Data

    NTT, Inc.

  7. Target-Weighted Neyman Allocation: Experimental Design for Heterogeneous Treatment Effects under Population Shift

    Aug 6, 2026Hoang Dang, Luan Pham, Minh NguyenHeterogeneous Treatment EffectsBayesian Experimental Design

    Independent Researcher · University of New South Wales, Australia · Florida Atlantic University, USA

  8. Augmented Inverse Hybrid Weighting: Robust Inference under Deterministic and Random Distribution Shifts

    Aug 1, 2026Ying Jin, Ying Jin, Dominik RothenhäuslerCovariate ShiftImportance Weighting

  9. Are the High-weight Neurons the Important Ones in Image Classification Neural Networks?

    Jul 28, 2026Qitao Chen, Dongfu Yin, F. Richard YuImportance WeightingNeurons

    WeBank Institute of FinTech, ShenZhen University, YueHai, ShenZhen, 518060, GuangDong, China. · Artificial Intelligence and Digital Economy Guangdong Provincial Laboratory, YuTang, ShenZhen, 518132, GuangDong, China.

  10. Kernel weighted importance sampling for off-policy evaluation in contextual bandits

    Jul 16, 2026Joshua Spear, Matthieu Komorowski, Rebecca Pope +2Contextual Bandit FrameworkImportance Weighting

    Institute of Child Health, University College London · Strive Health Ltd. · National Institute for Health Research +3

  11. Counterfactuals for Feature-Weighted Clustering

    Jul 16, 2026Richard J. Fawley, Renato Cordeiro de AmorimClusteringCounterfactual Explanation

    School of Computer Science and Electronic Engineering, University of Essex, Wivenhoe, UK.

  12. PUe: Biased Positive-Unlabeled Learning Enhancement by Causal Inference

    Jul 15, 2026Xutao Wang, Hanting Chen, Tianyu Guo +1Positive--Unlabeled LearningImportance Weighting

    Huawei Noah’s Ark Lab

  13. Heat-Kernel Entropy Profiles and Geometric Effective Sample Size for Weighted Measures on Manifolds

    Jul 7, 2026Kisung YouWasserstein DistanceImportance Weighting

    Baruch College

  14. Heckman-Corrected Epistemic Uncertainty: Selection on Unobservables Defeats Importance Weighting

    Jul 7, 2026Gunner Levi HoweSelection BiasImportance Weighting

    Independent Researcher

  15. Sampling Bias Compensation for Robust Evaluation of Audio Classification Systems with Partially Labeled Evaluation Datasets

    Jul 5, 2026Javier Naranjo-Alcazar, Annamaria Mesaros, Tuomas Virtanen +1Importance WeightingAudio Understanding

    Instituto Tecnologico de Informatica (ITI), Valencia, Spain · Tampere University, Tampere, Finland

  16. Tailoring Strictly Proper Scoring Rules for Downstream Tasks: An Application to Causal Inference

    Jun 2, 2026Roman Plaud, Alexandre Perez-Lebel, Antoine Saillenfest +4Causal InferencesImportance Weighting

    Institut Polytechnique de Paris · Onepoint, France · Fundamental Technologies +2

  17. Courtroom Analogy: New Perspective on Uncertainty-Aware Classification

    May 25, 2026Taeseong Yoon, Heeyoung KimUncertainty-Aware ClassificationInterpretability

    Department of Industrial and Systems Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea.

  18. Accelerated Dynamic Importance Weighting with Versatile Divergence-Minimizing Estimators

    May 25, 2026Tongtong Fang, Nan Lu, Gang Niu +2Importance WeightingDistribution Shifts

    The Institute of Statistical Mathematics, Tokyo, Japan. · University of Bristol, Bristol, U.K. · RIKEN Center for Advanced Intelligence Project, Tokyo, Japan. +1

  19. Anytime PAC-Bayes for Constrained Density-Ratio Networks under Covariate Shift

    May 17, 2026Paulo Akira F. Enabe, Rodrigo ProvasiCovariate ShiftPac-Bayesian Theory

    Escola Politénica University of São Paulo Department of Structural and Geotechnical Engineering

  20. TILT: Target-induced loss tilting under covariate shift

    May 14, 2026Kakei Yamamoto, Martin J. WainwrightCovariate ShiftDomain Adaptation

    Lab for Information and Decision Systems · Statistics and Data Science Center · EECS† +2

  21. A Divergence-Based Method for Weighting and Averaging Model Predictions

    Apr 27, 2026Olav Benjamin VassendFederated AveragingBregman Divergences

    University of Inland Norway

  22. Calibeating Prediction-Powered Inference

    Apr 23, 2026Lars van der Laan, Mark Van Der LaanPosterior Predictive DistributionImportance Weighting

    Department of Statistics, University of Washington · Department of Statistics and Division of Biostatistics, Center for Targeted Machine Learning and Causal Inference, University of California, Berkeley

  23. Graph Neural Network-Informed Predictive Flows for Faster Ford-Fulkerson and PAC-Learnability

    Apr 23, 2026Eleanor Wiesler, Trace BaxleyGraph Neural NetworksEdge-Aware

    1Harvard Department of Mathematics. · 2Harvard Department of Computer Science.

  24. IRIS: Interpolative Rényi Iterative Self-play for Large Language Model Fine-Tuning

    Apr 22, 2026Wenjie Liao, Like Wu, Liangjie Zhao +2Self-PlayLarge Language Model Fine-Tuning

    Graduate School of Information, Production and Systems, Waseda University, Fukuoka, Japan · Institute of Computing Technology, University of the Chinese Academy of Sciences

  25. Structured SIR: Efficient and Expressive Importance-Weighted Inference for High-Dimensional Image Registration

    Mar 18, 2026Ivor J. A. Simpson, Neill D. F. CampbellImage RegistrationVariational Inference

    Department of Informatics University of Sussex, UK · Department of Computer Science University College London, UK · Department of Computer Science University of Bath, UK

  26. Score-Regularized Joint Sampling with Importance Weights for Flow Matching

    Nov 21, 2025Xinshuang Liu, Runfa Blark Li, Shaoxiu Wei +1Conditional Flow MatchingImportance Weighting

    University of California, San Diego · San Diego, CA, USA