Finite-Sample

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7 papers in the last four weeks, against 2 the four weeks before. 0.1% of all new papers.

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  1. Target-Dependent Limits of Causal Repair: A Leading-Log Frontier in a Gaussian Model

    Sep 30, 2026Qinchuan Cheng, Jiaqi Liu, Ruixuan XieCausal InferencesRepair

    Xi’an Jiaotong University · Sichuan University · Southwestern University of Finance and Economics

  2. Estimation of the Label-Noise Transition Matrix with Performance Guarantees via Selective Classification

    Sep 30, 2026Xabier de Juan, Santiago Mazuelas, Yilun Zhu +1Noisy LabelsFinite-Sample

    Basque Center of Applied Mathematics (BCAM) · IKERBASQUE-Basque Foundation for Science · Electrical and Computer Engineering, University of Michigan

  3. Principal Component Regression Dominates all Monotone Spectral Filters for Linear Regression

    Sep 30, 2026Juno Kim, Hengyu Fu, Peter Bartlett +2Kernel Ridge RegressionSpectral Filtering

    University of California, Berkeley · Google DeepMind

  4. Learning-Enabled Estimation: Tight Characterizations under Sample Selection Biases

    Sep 29, 2026Vikram Kher, Jane H. Lee, Anay Mehrotra +1Selection BiasFinite-Sample

    Yale University · Stanford University

  5. Error Bounds for Statistical Estimators in BTL Model with Parametric Multivariate Utility Functions

    Sep 22, 2026Yicheng Li, Huifu XuMaximum LikelihoodFinite-Sample

    Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong.

  6. Learning under Target Shift: Optimal Density Ratio Estimation and Importance-Weighted Regression

    Sep 14, 2026Ren-Rui Liu, Zheng-Chu GuoDensity Ratio EstimationFinite-Sample

    School of Mathematical Sciences, Zhejiang University, Hangzhou 310058, China

  7. The Anatomy and Boundary of Adaptation under Temporal Tabular Shift

    Sep 14, 2026Tianyu Wang, Xi Vincent Wang, Lihui Wang +2Tabular Foundation ModelsFinite-Sample

    Department of Production Engineering, KTH Royal Institute of Technology, Stockholm, Sweden · Global Institute of Future Technology, Shanghai Jiao Tong University, Shanghai, China

  8. A Finite-Sample Analysis of Quantile Temporal-Difference Learning

    Aug 27, 2026Zijie Cheng, Xiang Li, Yang Peng +1Temporal DifferenceConvergence

    School of Mathematical Sciences, Peking University · Perelman School of Medicine, University of Pennsylvania · Yau Mathematical Sciences Center, Tsinghua University

  9. Sharp Minimax Regret for Infinite-Memory Logistic Prediction

    Aug 27, 2026Vaneet AggarwalRegretMinimax

    Purdue University

  10. ARC: Augmented-Rank Conformalization for Changepoint Localization --- Finite-Sample Validity and Distribution-Robust Efficiency

    Aug 9, 2026Chenchen Peng, Mixia Wu, Qijing Yan +2Change-Point DetectionConformal Selection

    School of Mathematics, Statistics and Mechanics, Beijing University of Technology, Beijing 100124, China · College of Computing and Data Science, Nanyang Technological University, Singapore 639798, Singapore

  11. A Simple Approximation to the Distribution of the Ridge Regression Estimator

    Aug 3, 2026José Luis Montiel Olea, Ryan Strong, Amilcar Velez +2Kernel Ridge RegressionHeteroskedasticity

    Department of Economics at Cornell University

  12. Beyond Modern Asymptotics for Log-Likelihood Ratios in Logistic Regression

    Aug 3, 2026Hugo Chardon, Reese Pathak, Nikita ZhivotovskiyLogistic RegressionFinite-Sample

    Department of Statistics, University of California, Berkeley · School of Operations Research and Information Engineering (ORIE), Cornell University

  13. Finite-Probe Total-Variation Certificates for Finite-Basis Drifting Models

    Aug 3, 2026Sam Andersson, Ricky MolénFinite-SampleFinite-Sample Certificates

    Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden · Department of Computational Science and Technology, KTH Royal Institute of Technology, Stockholm, Sweden

  14. An analysis of binary isotonic regression: degrees of freedom and implications for calibration

    Jul 29, 2026Raphael Rossellini, Rina Foygel Barber, Zhimei Ren +1Finite-SampleUpper Bounds

    Department of Statistics, University of Chicago · Department of Statistics and Data Science, University of Pennsylvania · Department of Statistics, University of Michigan

  15. Finite-Sample Coverage Audits for High-Recall Candidate Generation: Certification and Learning-Theoretic Design

    Jul 23, 2026Martin Anthony, Kaveh Salehzadeh NobariModel AuditingCertification

    Data Science Institute, London School of Economics and Political Science · Department of Mathematics, London School of Economics and Political Science · The Inclusion Initiative, London School of Economics and Political Science

  16. Aggregation of Statistical Evidence under Exchangeability

    Jul 17, 2026Antonin Schrab, Rajen Shah, Arthur Gretton +1Finite-Sample

    Department of Computer Science and Technology, University of Cambridge, UK · Statistical Laboratory, University of Cambridge, UK · Gatsby Computational Neuroscience Unit, University College London, UK +1

  17. Learning Who to Treat When Treatment is Missing

    Jul 15, 2026Johnna Sundberg, Rayid Ghani, Eli Ben-Michael +1Heterogeneous Treatment EffectsMissing Data

    Carnegie Mellon University, Pittsburgh, Pennsylvania

  18. Learning Sparsest Linear Causal DAGs with Latent Confounders via Higher-Order Cumulants

    Jul 7, 2026Ming Cai, Hisayuki HaraDirected Acyclic GraphLatent Confounders

    Graduate School of Informatics, Kyoto University, Kyoto, Japan · Institute for Liberal Arts and Sciences, Kyoto University, Kyoto, Japan

  19. On design-unbiased algorithmic Machine Learning

    Jun 27, 2026Li-Chun Zhang, Siu-Ming Tam, Luis Sanguiao-Sande +2Finite-SampleSelection Bias

    Department of Social Statistics and Demography, Univ. of Southampton, Highfield SO17 1BJ, Southampton, UK. · Statistisk sentralbyrå · Australian Bureau of Statistics +2

  20. The Simulacrum: Decision-Theoretic Pretraining for Near-Optimal Time-Series Forecasting and Inference

    Jun 26, 2026Pablo Montero-Manso, Marcel ScharthTime Series ForecastingFinite-Sample

    University of Sydney Business School, Australia

  21. Null-Calibrated Conformal Selection via Target-Membership Scores

    Jun 21, 2026Seungjin ChoiNonconformity ScoresConformal Selection

    CROID Research and aSSIST University, Korea

  22. Ranking-and-Selection with Multiple Correct Answers and Non-Answerable Estimates

    Jun 20, 2026Qiaoqiao Wang, Wei YouSelection BiasRanking

    Dept. of Industrial Engineering and Decision Analytics, The Hong Kong University of Science and Technology, Hong Kong, China

  23. Finite-Sample Performance of Gradient Descent in Logistic Regression with Gaussian Design

    Jun 19, 2026Junren Chen, Arya MazumdarLogistic RegressionFinite-Sample

    Department of Mathematics, University of Maryland, College Park. · Halıcıoğlu Data Science Institute, UC San Diego.

  24. Identification and Inference for Algorithmic Frontiers with Selective Labels

    Jun 12, 2026Yiqi Liu, Francesca Molinari, Amilcar VelezSelection BiasAlgorithmic Fairness

    Department of Economics, Cornell University

  25. How Useful is Causal Invariance for Domain Adaptation in Finite-Sample Settings?

    Jun 10, 2026Julia Kostin, Kasra Jalaldoust, Elias Bareinboim +2Domain AdaptationFinite-Sample

    Department of Computer Science, ETH Zurich · Causal Artificial Intelligence Lab, Columbia University · Department of Statistics, Columbia University

  26. Computational Identifiability

    Jun 8, 2026Lucius E. J. Bynum, Rajesh Ranganath, Kyunghyun ChoIdentifiabilityFinite-Sample

    New York University

  27. Directional Linear Separability of Neural Representations: Geometry and Transformations

    Jun 7, 2026Yi Wei, Xuan Qi, Suorong Yang +1SeparabilityNeural Representations

    DITEN University of Genoa, Genoa, Italy · State Key Laboratory of Novel Software Technology School of Artificial Intelligence Nanjing University, Jiangsu, China

  28. Empirical Transfer Operators and Finite-Sample Change Detection for Noisy Expanding Interval Maps

    Jun 5, 2026Aparna RajputChange-Point DetectionTransitions

  29. A Note on Stability for Orthogonalized Matrix Momentum with Client Sampling

    Jun 1, 2026Da Chang, Qiankun Shi, Lvgang Zhang +2Decentralized OptimizationOptimal Sample Complexity

    University of Chinese Academy of Sciences · Sun Yat-sen University · Southern University of Science and Technology +1

  30. How (and when) can you fit examples to logic-based hypothesis classes over infinite structures?

    May 31, 2026Michael Benedikt, Alessio MansuttiHypothesis ClassTractability

    University of Oxford, UK · IMDEA Software Institute, Spain

  31. Fraud Type Decomposition and the Observation-Mechanism Taxonomy:Class-Specific Detection Limits in Payment Networks

    May 29, 2026Gaurav DhamaFraud DetectionPayment Networks

  32. Improved Guarantees for Heterogeneous Treatment-Effect Estimation via Matrix Completion

    May 28, 2026Anay Mehrotra, Phuc Tran, Van H. Vu +1Heterogeneous Treatment EffectsTensor Completion

    Vin University · The University of Hong Kong · Yale University

  33. Risk-Controlled Lean-as-Judge for Natural-Language Mathematical Reasoning

    May 27, 2026Pauline Bourigault, Xiaotong Ji, Matthieu Zimmer +2AutoformalizationTheorem Proving

    Imperial College London · Huawei Noah’s Ark Lab · UCL Centre for AI

  34. Entropy Distribution as a Fingerprint for Hallucinations in Generative Models

    May 27, 2026Mattia J. Villani, Pranav Deshpande, Akshay Seshadri +2Large Language Model HallucinationHallucination Detection

    Global Technology Applied Research, JPMorganChase, New York, NY 10001, USA

  35. Dual-Channel Tensor Neural Networks: Finite-Sample Theory and Conformal Structure Selection

    May 18, 2026Elynn Chen, Jiayu Li, Zheshi Zheng +1Conformal SelectionFinite-Sample

    New York University · University of Michigan · Duke University

  36. Anchoring the Eigengap: Cross-Modal Spectral Stabilization for Sample-Efficient Representation Learning

    May 9, 2026Nikhil J. Dhinagar, Vidhi Chhatbar, Chirag Jagad +6Representation LearningSpectral Filtering

    Imaging Genetics Center, Mark & Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA · Neuroscience Graduate Program, Mark & Mary Stevens Neuroimaging & Informatics Institute, Chan Division of Occupational Science & Occupational Therapy, Biomedical Engineering, University of Southern California, Los Angeles, CA, USA

  37. Structure-Preserving Reconstruction of Convex Lipschitz Functionals on Hilbert Spaces from Finite Samples

    May 8, 2026Anastasis KratsiosLipschitz ContinuityKernel Hilbert Spaces

  38. 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

  39. Towards Reliable LLM Evaluation: Correcting the Winner's Curse in Adaptive Benchmarking

    May 7, 2026Yang Xu, Jiefu Zhang, Haixiang Sun +3Large Language Model EvaluationTuning

    Purdue University · Johns Hopkins University · Purdue University, USA

  40. A Measure-Theoretic Finite-Sample Theory for Adaptive-Data Fitted Q-Iteration

    May 7, 2026Manuel Haussmann, Mustafa Mert Çelikok, Melih KandemirModel-Free Reinforcement LearningBellman Equation

    Department of Mathematics and Computer Science University of Southern Denmark

  41. Direct Estimation of Schrödinger Bridge Time-Series Drifts: Finite-Sample, Asymptotic, and Adaptive Guarantees

    May 6, 2026Othmane Mazhar, Huyên PhamSchrödinger BridgesFinite-Sample

    LPSM, Sorbonne Université and Université Paris Cité · École Polytechnique, CMAP

  42. Conformalized Percentile Interval: Finite Sample Validity and Improved Conditional Performance

    May 4, 2026Ran Zou, Wanrong Zhu, Bin NanConditional DistributionFinite-Sample

    Department of Statistics, University of California, Irvine

  43. Finite-Sample Analysis of Elimination in Active Hypothesis Testing

    May 1, 2026Ziyuan Lin, Hoang Ngoc Nguyen, Jie Xu +1Two-Sample TestingFinite-Sample

    Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL 32611, USA

  44. Separating Geometry from Probability in the Analysis of Generalization

    Apr 21, 2026Maxim Raginsky, Benjamin RechtGeneralization BoundsFinite-Sample

    *University of Illinois, Urbana, IL 61801, USA · †University of California, Berkeley, CA 94720, USA

  45. Improving Machine Learning Performance with Synthetic Augmentation

    Apr 16, 2026Mel Sohm, Charles Dezons, Sami Sellami +2AugmentationSynthetic Data

    University of California, Berkeley

  46. Theoretical Analysis of Measure Consistency Regularization for Partially Observed Data

    Feb 1, 2026Yinsong Wang, Shahin ShahrampourRegularizationImputation

    University of Nevada Reno, Reno, NV 89557 USA · Department of Mechanical and Industrial Engineering at Northeastern University, Boston, MA 02115 USA

  47. Implicit Bias and Invariance: How Hopfield Networks Efficiently Learn Graph Orbits

    Dec 16, 2025Michael Murray, Tenzin Chan, Kedar Karhadker +1Hopfield NetworksEquivariant Learning

    Mathematical Sciences, University of Bath · Department of Mathematics, UCLA · Algebraic

  48. No Free Lunch: Non-Asymptotic Analysis of Prediction-Powered Inference

    May 26, 2025Pranav Mani, Peng Xu, Zachary C. Lipton +1Finite-SamplePrediction Error

    Abridge AI, San Francisco, CA, USA · Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA, USA · Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA

  49. Decentralized Best-Response-Based Learning in Two-Player Zero-Sum Stochastic Games: A Finite-Sample Analysis

    Sep 2, 2024Zaiwei Chen, Kaiqing Zhang, Eric Mazumdar +2Observable Stochastic GameStochastic Approximation

    IE, Purdue University. · ECE, University of Maryland, College Park. · CMS, Caltech. +1

  50. Generalization error of min-norm interpolators in transfer learning

    Jun 20, 2024Yanke Song, Kenneth Gu, Sohom Bhattacharya +1Stochastic InterpolantsEmpirical Risk Minimization

    Department of Statistics, Harvard University · Department of Statistics, Stanford University · Department of Statistics, University of Florida

  51. Analytical Standard Errors for Exploratory Factor Solutions

    Nov 12, 2018Xingwei Hu, Caihong Hu, Cheng-Kuang WuExploratory Factor AnalysisHeteroskedasticity

    International Monetary Fund, Washington, DC, 20431, USA · Zhangjiajie College, Zhangjiajie, Hunan, 427000, China · Zhejiang Industry and Trade Vocational College, Wenzhou, Zhejiang, 325700, China