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Period ending 2026-09-14

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  1. A General Kernel Framework for Non-CND Distance Measures Using |D|-Dimensional Sparse Landmark Embeddings

    Sep 16, 2026Marcus M. Noack, Maher B. Alghalayini, Mark D. RisserHyperspherical Embedding GeometryGaussian Process

  2. Accurate Trace Estimation with Fewer Random Bits via Recursive TensorSketch

    Sep 16, 2026Mohammad Azhar Khan, Rameshwar Pratap, Amit SharmaEstimatorsHessian Matrix

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

    Sep 14, 2026Ren-Rui Liu, Zheng-Chu GuoRandomized Global-Local Density EstimationDistribution Shifts

  4. Estimating Pedestrian Volumes from GIS-Derived Built-Environment Features: A Machine Learning Framework

    Sep 14, 2026Bahareh Golchin, Banafsheh Rekabdar, Sirisha Kothuri +1Randomized Global-Local Density Estimation

  5. Shapley Value Estimation for Multi-Site Data with Blockwise-Missing Features

    Sep 14, 2026Siqi Li, Wangxuan Fan, Yiming Li +2Shapley ValueEstimators

  6. When Does Text Inform? Benchmarking Information-Theoretic Metrics for Multimodal Time-Series Forecasting

    Sep 12, 2026Emma Andrews, Gianmarco MengaldoTime Series ForecastingMultimodal Learning

  7. Generalized Score Matching for Parameter Estimation on Convex Domains

    Sep 11, 2026Nishanth Shetty, Saisuchith Mahajan, Chandra Sekhar SeelamantulaEstimatorsScore Function

  8. A Statistical Approach to Estimating Sample Size of Machine Learning Models

    Sep 10, 2026Dat Phan-Trong, Sunil Gupta, Svetha VenkateshSample SizeMachine Learning

  9. Weighted Empirical Risk Minimization for Machine Learning under Long-Range Dependence: Exact Pathwise Rates and Learning-Error Geometry

    Sep 9, 2026Elina MoldavskayaEmpirical Risk MinimizationExponential Family

  10. Shape-guided Gaussian Splatting for Sparse-View X-ray 3D Reconstruction

    Sep 9, 2026Pranav Poudel, Florence Dell'Aniello Picard, Nairouz Shehata +2Xray-VisualGaussian Splatting

  11. A Kernel-Based Modular Discriminant Analysis Framework for Small-Sample Learning

    Sep 9, 2026Lingxiao Qu, Yan PeiPrincipal Component AnalysisSample Size

  12. Differentially Private Average Treatment Effect Estimation by Propensity Score Blocking

    Sep 8, 2026Duncan Stewardson, Grayson W. White, Adam GroceHeterogeneous Treatment EffectsPropensity

  13. MiNCE: Nonparametric, Strongly Consistent Confidence Envelopes for Band-Limited Functions and their Smoothed Spectra

    Sep 8, 2026Balázs Csanád Csáji, Bálint HorváthExponential FamilyConfidence Intervals

  14. Length Generalization for Transformers via Compression

    Sep 8, 2026Georg Zetzsche, Hongjian Jiang, Andy Yang +4Transformer VariantGeneralization Bounds

  15. A Closed-Form Estimator and Diagnostic Battery for Anchor-Judge Error Correlation, Under a Single-Common-Factor Model

    Sep 8, 2026Veerendra Kumar SunkavalliInter-Rater VariabilityLlm-As-A-Judge

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

    Sep 8, 2026Sixtine SphabmixayRegressionEstimators

  17. Non-Adaptive 1-Bit Mean Estimation: Minimax Rates and the Sample-Interval Tradeoff

    Sep 8, 2026Ivan Lau, Jonathan ScarlettOptimal Sample ComplexityEstimators

  18. Distribution-free inference on the number of changepoints

    Sep 8, 2026Rohan Hore, Aaditya RamdasChange-Point DetectionFinite-Sample

  19. Sharp Structure-Agnostic Minimax Risk for Partial Linear Models

    Sep 7, 2026Haichen Hu, David Simchi-LeviEmpirical Risk MinimizationMinimax

  20. A location-invariant estimator of extremal quantile treatment effects for heavy-tailed distributions

    Sep 3, 2026Xin Yu, Shuwei Huang, Jicheng Liu +4Heterogeneous Treatment EffectsQuantile Regression

  21. Geometric Ceilings on Time-Frequency Masking for Single-Channel Separation

    Sep 3, 2026Maxime BaeldeChannel EstimationTime-Frequency

  22. Median-of-Means as an Extremal Convex Estimator and a Nonconvex Route to the Trimmed Oracle

    Sep 1, 2026Angshul MajumdarEstimatorsEmpirical Risk Minimization

  23. Matched Queries for Curvature and Density at Branching Junctions

    Sep 1, 2026Ziqi Zhao, Qingjian NiTangent SpaceRandomized Global-Local Density Estimation

  24. DiffSAC: Diffusion-guided Sampling for Consensus-based Robust Estimation

    Aug 31, 2026Chang Nie, Guangming Wang, Zhe Liu +1Diffusion SamplingFeed-Forward Visual Geometry Estimation

  25. A Unified Perspective on Conformal Prediction and Wasserstein Distributionally Robust Optimization for Uncertainty Quantification

    Aug 30, 2026Kehan Long, Yiqi Zhao, Pol Mestres +3Conformal PredictionUncertainty Quantification

  26. Timing-Aware Repurchase Prediction for Web-Scale E-Commerce: Survival Models for Multi-Surface Grocery Recommendation

    Aug 28, 2026Akshay Kekuda, Shreeranjani Srirangamsridharan, Ishan Bhatt +5E-CommerceSurvival Analysis

  27. Sharp Minimax Regret for Infinite-Memory Logistic Prediction

    Aug 27, 2026Vaneet AggarwalRegretMinimax

  28. Doubly Robust Estimation of Causal Effect on CVR with Targeted Regularization

    Aug 13, 2026Jiayi Dan, Bo Li, Lu Deng +1EstimatorsClick-Through Rate Prediction

  29. Fast Iterative Five point Relative Pose Estimation

    Aug 13, 2026Johan Hedborg, Michael FelsbergCalibrated View PairsAbsolute Pose

  30. AMR-Pose: An Active LED Marker-Based Relative Pose Estimation Framework With Probabilistic Switching PnP for Cooperative AUVs

    Aug 13, 2026Zeyu Sha, Xiaorui Wang, Mingyang Yang +1Autonomous Underwater VehiclesRobust Localization

  31. DYSANOS Generative Dynamic Smooth Arbitrage-free Non-parametric Option Surfaces

    Aug 12, 2026Hans Buehler, Blanka Horvath, Anastasis KratsiosDerivative PricingArbitrage

  32. When Can You Trust Offline Evaluation of Equal-Cost Top-k Allocation? A Controlled, Reproducible Benchmark and Practitioner's Guide

    Aug 12, 2026Binshuang LiPropensityEstimators

  33. Small-Scale Experiments: Are We There Yet?

    Aug 12, 2026Nicholas Lourie, Kyunghyun Cho, Karen Ullrich +1Scaling LawsHyperparameter

  34. Transferable Above-Ground Biomass (AGB) Estimation Model from Multi-Sensor Data with Sparse Field Calibration

    Aug 12, 2026Pann Thinzar Seint, Bryan Atwood, Subas ChhatkuliAbove-Ground BiomassForests

  35. A Systematic Sample Size Analysis of ML-Based Path Loss Prediction for LPWAN

    Aug 11, 2026Robert Bitterling, Christian Nettersheim, Jörn Hees +1Wireless NetworksSample Size

  36. Can Released LLM Vocabularies Support Token-Level Estimation of Hidden Corpora?

    Aug 11, 2026Qingjie Zhang, Xingzhang Ren, Zixuan Chen +6Token-Level UncertaintyCorpus

  37. When Your State Estimator Has Lost The Plot: Detecting Estimator Failures Via Spectral Analysis

    Aug 11, 2026Christian Lanegger, Helen Oleynikova, Roland Siegwart +1State EstimationEstimators

  38. Improving TensorSketch Using Complex Random Variables

    Aug 11, 2026Amit Sharma, Mohammad Azhar Khan, Rameshwar Pratap +1Optimal Sample ComplexityLabel Skew

  39. In-Context Density Estimation for Tabular Data

    Aug 10, 2026Patryk Marszałek, Jacek Tabor, Marek ŚmiejaRandomized Global-Local Density EstimationUnsupervised Anomaly Detection

  40. Personalized Federated Learning via Variance-Aware Nonparametric Empirical Bayes

    Aug 10, 2026Jae Ho Chang, Arnab Auddy, Subhadeep PaulDistributional LearningEmpirical Risk Minimization

  41. 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

  42. Conditional Diffusion for Nonparametric Instrumental Variable Quantile Regression

    Aug 8, 2026Xingdong Feng, Xinhong Jiang, Yuling Jiao +2Quantile RegressionExponential Family

  43. Tracing sources of epistemic uncertainty in deep learning predictions: homo- and hetero-scedastic linearized estimators

    Aug 7, 2026Pierre Nodet, Thomas GeorgeHeteroskedasticityEstimators

  44. Confidence Estimation for Financial Vision-Language Models in Chart and Document Understanding

    Aug 6, 2026Reza Khanmohammadi, Simerjot Kaur, Charese H. Smiley +2Confidence EstimationFinance Domain

  45. 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

  46. Scalable estimation of VARMA models

    Aug 6, 2026Daniel Paulin, Victor ElviraEstimatorsAutoregressive Model

  47. Verifiable Regularity Criterion for Conditional Expectation Operators and Conditional Mean Embeddings with Applications to Nonparametric Regression, Bayesian Inverse Problems, and Koopman Operators

    Aug 6, 2026Maximiliano Hertel, Ilja Klebanov, Manuel Schaller +1Kernel Hilbert SpacesRegularity

  48. Stable Density Ridges: Consistency and Convergence of Subspace Constrained Mean Shift

    Aug 5, 2026Wanli QiaoSpectral DescentRandomized Global-Local Density Estimation

  49. A Unified Causal Inference Framework for the Desirability of Outcome Ranking Paradigm in Benefit-Risk Evaluation

    Aug 5, 2026Yuan Feng, Shiyu Shu, Yixin Fang +4Heterogeneous Treatment EffectsCausal Inferences

  50. Nonparametric Goodness-of-fit Testing under Covariate Shift

    Aug 5, 2026Zhen Hou, Dong XiaCovariate ShiftExponential Family

  51. Efficient Online Lexicographic Generalized Low-Rank Matrix Bandits

    Aug 5, 2026Bo Xue, Ji Cheng, Haodong Jing +2Low-Rank FactorizationMulti-Objective Bandits

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

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

  53. Interaction Is Not Necessary for Order-Optimal 1-Bit Mean Estimation

    Aug 3, 2026Jiachen Hu, Han ZhongOptimal Sample ComplexityEstimators

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

    Aug 3, 2026Hugo Chardon, Reese Pathak, Nikita ZhivotovskiyFinite-SampleAsymptotics

  55. Computational and Statistical Guarantees of the \textit{c}-Rectified flow

    Aug 3, 2026Leda Wang, Zhehao Xu, Qiang Liu +1Rectified FlowOptimal Transport

  56. Fermat Active Laplace Learning for Semi-Supervised Hyperspectral Image Classification

    Aug 3, 2026Vutichart Buranasiri, James M. MurphyHyperspectral Image ClassificationSemi-Supervised Learning

  57. ARM: Detector-Agnostic Changepoint Attribution with Finite-Sample Error Control

    Aug 3, 2026Chenchen Peng, Mixia Wu, Qijing Yan +2Change-Point DetectionFalse Discovery Rate

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

    Aug 3, 2026Sam Andersson, Ricky MolénDrift StatisticFinite-Sample

  59. How fine a change can moments see? A scale law for detecting distribution shift, with a kernel calibration rule

    Aug 2, 2026Adel KalechePersistent HomologyMaximum Mean Discrepancy

  60. Band-Count Dense Modal Estimation with Fixed-Frequency Differentiable Resonator Refinement

    Aug 1, 2026Minhui Lu, Joshua D. ReissRandomized Global-Local Density EstimationImpulse Response