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Statistics, Machine Learning papers, 2026-03-01 to 2026-08-31

Every paper in the arxiv corpus whose primary field is the arXiv category stat.ML, submitted inside this window. An impact prediction on exactory states a citation rank against this population.

Corpus
arxiv
Papers
1,406
Collected
7 Sept 2026

Papers

  1. Deep Vision in Smart Manufacturing: MODERN Framework for Intelligent Quality Monitoring and Diagnosis2608.13937 · 14 Aug 2026
  2. Extending Occam's inversion with lasso fusion, overcomplete dictionaries, and isotropic total variation regularisation2608.14225 · 14 Aug 2026
  3. Online Inference in Distributional Temporal-Difference Learning2608.14408 · 14 Aug 2026
  4. ARISE: An adaptive residual-informed stability ensemble for feature selection in small-sample biomedical omics2608.14866 · 14 Aug 2026
  5. Offline Deep Q* Estimation with Diffusion Models2608.14401 · 14 Aug 2026
  6. Beyond Effective Sample Size: Effective Number of Proposals for Adaptive Importance Sampling2608.15154 · 15 Aug 2026
  7. A Posterior-Dynamics Framework for Imaging Inverse Problems with Pretrained Diffusion Priors2608.15144 · 15 Aug 2026
  8. Convolution Smoothed Quantile Regression for XGBoost2608.15290 · 15 Aug 2026
  9. Sufficient Dimesion Reduction via Generalized Stein's Lemma2608.15121 · 15 Aug 2026
  10. Identifying parameter couplings and uncertainties of mixed-noise stochastic systems via full-covariance Gaussian mixture network2608.15198 · 15 Aug 2026
  11. The Distributional View of Knowledge Distillation2608.15215 · 15 Aug 2026
  12. Prediction Inference of Time Series with Standard ReLU Deep Neural Networks2608.15362 · 15 Aug 2026
  13. A Deep Learning Model for Spatially Clustered Data via Differentiable Cluster Assignment2608.14968 · 15 Aug 2026
  14. A Unified Geometric Framework for Developmental Analysis of Spatial Transcriptomic Data2608.15306 · 15 Aug 2026
  15. Generalized Linear Bandits with Memory2608.15848 · 16 Aug 2026
  16. Inferential Evaluation of Surrogate-Derived Models under Covariate Shift2608.15783 · 16 Aug 2026
  17. On Stopping Rules and Spatial Adaptation for CART2608.15649 · 16 Aug 2026
  18. Coded Hankel Polynomial Chaos: Spectral Identification of Dominant Polynomial-Chaos Modes2608.16126 · 17 Aug 2026
  19. Hide&Seek: Learning to Explain in an End-to-End Differentiable Network2608.16689 · 17 Aug 2026
  20. Non-Crossing Deep Quantile Regression for Distributional Survival Prediction2608.16864 · 17 Aug 2026
  21. Density-Reweighted Entropic Optimal Transport: Decoupling Geometry from Sampling Density2608.16506 · 17 Aug 2026
  22. Improved Regret Analysis for Parallel Gaussian Process Bandit Optimization2608.16492 · 17 Aug 2026
  23. Expressivity In Multimodal Contrastive Learning2608.17203 · 17 Aug 2026
  24. EMS Coreset: An Efficient Expectation-Maximization Algorithm for Sinkhorn Coreset2608.16101 · 17 Aug 2026
  25. LiD-GLM: Lipschitz-constrained Deep Generalized Linear Models2608.16340 · 17 Aug 2026
  26. Diagonal Multi-omics Integration of Heterogeneous Datasets2608.16968 · 17 Aug 2026
  27. Policy Optimization and Statistical Inference for Online Contextual Matrix Games2608.17173 · 17 Aug 2026
  28. Online Generalized Sparse Regression: How Does Overparametrization Help?2608.17466 · 18 Aug 2026
  29. Feature Priming in Online Linear Regression: Sparse-Regret Lower Bounds and a Tight Univariate Rate2608.17573 · 18 Aug 2026
  30. Nonlocal Transition Kernel for Efficient Learning of Restricted Boltzmann Machines2608.17450 · 18 Aug 2026
  31. Toward the Optimal Regret-Instability Trade-off in Multi-Armed Bandits2608.17841 · 18 Aug 2026
  32. Sobolev Regularized Score Difference Estimation in Diffusion Models2608.18237 · 18 Aug 2026
  33. Inference and Uncertainty Quantification for Streaming $r$-PCA2608.18374 · 18 Aug 2026
  34. Where A Small Language Model Helps in Invoice Categorisation, Understood Through Embedding Geometry2608.18033 · 18 Aug 2026
  35. Fair Multi-View Determinantal Coresets via Adaptive NEPv2608.18181 · 18 Aug 2026
  36. SPACE: Sample-cloud Predictive Adaptive Conformal Ellipsoids for Multivariate Time-Series Forecasting2608.17333 · 18 Aug 2026
  37. Diffusion Models for High-Dimensional Clustered Data: Intrinsic-Dimension Adaptivity via Bayesian Classification2608.19067 · 19 Aug 2026
  38. Learning Random Geometric Graphs Drawn in Probabilistic Metric Spaces2608.19082 · 19 Aug 2026
  39. Sharper Regret Bounds for Time-Varying Gaussian Process Bandits with Constant Exploration2608.18863 · 19 Aug 2026
  40. Discrete Diffusion Inference-Time Control with Nested Sequential Monte Carlo2608.20123 · 20 Aug 2026
  41. Uncertainty propagation in auto-regressive random neural network models2608.20483 · 20 Aug 2026
  42. Transfer Learning in Nonparametric Regression with Deep ReLU Networks2608.20255 · 20 Aug 2026
  43. Minimax Optimality of Score-Entropy Discrete Diffusion2608.20635 · 21 Aug 2026
  44. The Exceedance Design Effect: Effective Sample Size for Thresholds under Clustering2608.21262 · 21 Aug 2026
  45. Random Hazard Forests2608.21597 · 21 Aug 2026
  46. A Data-Driven Approach to State Construction in Markov Models2608.21480 · 21 Aug 2026
  47. Spectral partitioning for $k$-block averaging kernels of finite Markov chains2608.21466 · 21 Aug 2026
  48. Gauss--Hermite Quadrature for Gaussian-Mixture Entropy with an Action-Space Hermite Surrogate2608.21467 · 21 Aug 2026
  49. Sparse Separable Factor Analysis in the Complex Domain with an Application to Local Field Potential Data2608.21551 · 21 Aug 2026
  50. Structured Learning on Mapper Representations2608.22044 · 22 Aug 2026
  51. Guidance for Prior Change via Density Ratio Estimation2608.21729 · 22 Aug 2026
  52. Replicable Conformal Prediction2608.23638 · 23 Aug 2026
  53. Scale-invariant Optimal Sampling for Rare-events Data with Sparse Models2608.22597 · 23 Aug 2026
  54. Sparse Additive Off-Policy Evaluation for Reinforcement Learning with Potentially Limited Number of Trajectories2608.22595 · 23 Aug 2026
  55. Recovering Weighted Tangent Geometry from a Single-Scale Score Field2608.22334 · 23 Aug 2026
  56. Token-Level Likelihood-Array Regression for Membership Inference and AI-Generated Text Detection2608.22179 · 23 Aug 2026
  57. (Mis)Understanding Benign Overfitting in Equity Return Prediction2608.23761 · 24 Aug 2026
  58. One Inverse Step is a Convex Program: Bayes-Limit Calibration of Diffusion Inversion2608.23094 · 24 Aug 2026
  59. Generative Neural Networks for Sinkhorn Distributionally Robust Hypothesis Testing2608.22746 · 24 Aug 2026
  60. A Commutator Framework for Selective Spectral Alignment in Deep Neural Networks2608.22910 · 24 Aug 2026
  61. Primal--Dual Alternating Neural Learning for Timely Classification with Performance Guarantees2608.23480 · 24 Aug 2026
  62. Scalable and Versatile Identification for Hierarchical Structural Causal Models: A New Look at Project STAR2608.24500 · 25 Aug 2026
  63. What FID Hides: Detecting, Ranking, and Diagnosing Deviations in Generative Evaluation2608.24881 · 25 Aug 2026
  64. $\texttt{findr}$: Transparent and Fair Credit Risk Decisions through Semi-Structured Regressions2608.24582 · 25 Aug 2026
  65. Improved Analysis for Hessian-free High-resolution Monte Carlo Sampling2608.25052 · 25 Aug 2026
  66. Generalization, memorization, and overfitting for diffusion models trained in the lazy high-dimensional regime2608.23938 · 25 Aug 2026
  67. Minimax Alternating Regret for the Experts Problem and Online Convex Optimization2608.25182 · 25 Aug 2026
  68. Common-Center Geometry and Certified Radial Reconstruction for Energy-Form Full Conformal Regions2608.24964 · 25 Aug 2026
  69. Sequential operator learning under dependent data2608.24426 · 25 Aug 2026
  70. A Heterogeneous Mixture of Experts Framework for Interpretable Machine Learning2608.24195 · 25 Aug 2026
  71. qshap: Fast Shapley Decomposition of $R^2$ for Gradient-Boosted Trees2608.24104 · 25 Aug 2026
  72. Fast rates in Bayesian online learning with approximate posteriors2608.25706 · 26 Aug 2026
  73. Adaptive Regularization for Random Features: A Neighboring Early-Stopping Rule with Oracle-Rate Guarantees2608.25513 · 26 Aug 2026
  74. Efficient Estimation of High Information Projections using Nearest Neighbours2608.25887 · 26 Aug 2026
  75. Multi-output Gaussian process prediction of physical fields under linear equality constraints2608.25709 · 26 Aug 2026
  76. TRACE: Retrospective Streaming Generation of Physical Fields under Sparse Structured Sensing2608.26219 · 26 Aug 2026
  77. Incremental Recommendation via Causal Models2608.26804 · 27 Aug 2026
  78. Representation Measurements Under Function-Preserving Reparameterizations2608.27020 · 27 Aug 2026
  79. A Finite Sample Analysis for Quantile Temporal Difference Learning in Distributional Reinforcement Learning2608.27313 · 27 Aug 2026
  80. Towards a mathematical theory of superposition2608.27540 · 27 Aug 2026
  81. Optimal Transport for Network Comparison: A Review with Machine Learning Applications2608.27500 · 27 Aug 2026
  82. Active Diffusion-Based Inference for Ill-Posed Inverse Problems under Incomplete Priors2608.27080 · 27 Aug 2026
  83. Recovering Expert Critic-Sourced Network Adjacency between Musical Artists from Acoustic Distributions: A Construct-Validity Approach2608.27291 · 27 Aug 2026
  84. A Unified Descriptive-Complexity Framework for Model Selection under Correlated Designs2608.26618 · 27 Aug 2026
  85. Why not to use the Gaussian kernel2608.26974 · 27 Aug 2026
  86. The information geometry of product-reference discrete diffusion: Interaction growth complexity and optimal scheduling2608.28949 · 28 Aug 2026
  87. Learning between the peaks: sharp asymptotics for kernel ridge regression under power-law anisotropy2608.28564 · 28 Aug 2026
  88. Localizing Global Discrepancies: Marginal Contributions and Contextual Anomaly Detection2608.28375 · 28 Aug 2026
  89. Conformal Risk-Averse Decision Making with Optimized Certainty Equivalent Risk Control2608.28179 · 28 Aug 2026
  90. Quantitative Target Convergence and Uniform-in-Time Propagation of Chaos for Langevin-Regularized SVGD2608.28827 · 28 Aug 2026
  91. I-FLOP: Fast Learning of Order and Parents from Interventional Data2608.28245 · 28 Aug 2026
  92. Deciding When to Decide: Testing Operational Suboptimality Under Distributional Shift2608.29465 · 29 Aug 2026
  93. Uniform Statistical Convergence of Empirical Sinkhorn Potentials with Exponential and Polynomial Dependence on the Regularization Parameter2608.29152 · 29 Aug 2026
  94. Jigsaw-CRL: Recovering Global Latent Causal Order from Fragmented Multi-Client Interventions2608.28991 · 29 Aug 2026
  95. Sharp Restricted Isometry Thresholds for Global Minima of Rank-Restricted Matrix LASSO2608.29018 · 29 Aug 2026
  96. Neural ODE enhanced linear mixed effect models for estimating complex association patterns of time-varying covariates with the marker trajectory2608.29714 · 30 Aug 2026
  97. A Deep Latent Variable Framework for Jointly Modeling Missingness, Measurement Error, and Heterogeneity2608.30040 · 30 Aug 2026
  98. Learning Representations through Token Prediction: Geometry, Approximation, and Downstream Guarantees2608.30072 · 30 Aug 2026
  99. Implementing neural network mixed-effects models in Template Model Builder (TMB)2608.31133 · 31 Aug 2026
  100. Learning the Geometry of Admissible Hypotheses through Inductive Bias in Training Distributions2608.31028 · 31 Aug 2026