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Statistics, Machine Learning papers, 2025-05-01 to 2025-10-31

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
1,192
Collected
31 Aug 2026

Papers

  1. Uncertainty Quantification for Physics-Informed Neural Networks with Extended Fiducial Inference2505.19136 · 25 May 2025
  2. PIGPVAE: Physics-Informed Gaussian Process Variational Autoencoders2505.19320 · 25 May 2025
  3. Optimal Conformal Prediction under Epistemic Uncertainty2505.19033 · 25 May 2025
  4. Adaptive Diffusion Guidance via Stochastic Optimal Control2505.19367 · 25 May 2025
  5. Lorentz Local Canonicalization: How to Make Any Network Lorentz-Equivariant2505.20280 · 26 May 2025
  6. Learning with Expected Signatures: Theory and Applications2505.20465 · 26 May 2025
  7. Linear Bandits with Non-i.i.d. Noise2505.20017 · 26 May 2025
  8. Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models2505.20536 · 26 May 2025
  9. Weighted Leave-One-Out Cross Validation2505.19737 · 26 May 2025
  10. Balancing Performance and Costs in Best Arm Identification2505.20583 · 26 May 2025
  11. Kernel Quantile Embeddings and Associated Probability Metrics2505.20433 · 26 May 2025
  12. Information-theoretic Generalization Analysis for VQ-VAEs: A Role of Latent Variables2505.19470 · 26 May 2025
  13. Differentially private ratio statistics2505.20351 · 26 May 2025
  14. Proximal Point Nash Learning from Human Feedback2505.19731 · 26 May 2025
  15. Efficient Deconvolution in Populational Inverse Problems2505.19841 · 26 May 2025
  16. No Free Lunch: Non-Asymptotic Analysis of Prediction-Powered Inference2505.20178 · 26 May 2025
  17. Uniform convergence of the smooth calibration error and its relationship with functional gradient2505.19396 · 26 May 2025
  18. Nearly Dimension-Independent Convergence of Mean-Field Black-Box Variational Inference2505.21721 · 27 May 2025
  19. Stationary MMD Points2505.20754 · 27 May 2025
  20. Autoencoding Random Forests2505.21441 · 27 May 2025
  21. A False Discovery Rate Control Method Using a Fully Connected Hidden Markov Random Field for Neuroimaging Data2505.20688 · 27 May 2025
  22. A General-Purpose Theorem for High-Probability Bounds of Stochastic Approximation with Polyak Averaging2505.21796 · 27 May 2025
  23. Global Minimizers of $\ell^p$-Regularized Objectives Yield the Sparsest ReLU Neural Networks2505.21791 · 27 May 2025
  24. STACI: Spatio-Temporal Aleatoric Conformal Inference2505.21658 · 27 May 2025
  25. A Pure Hypothesis Test for Inhomogeneous Random Graph Models Based on a Kernelised Stein Discrepancy2505.21580 · 27 May 2025
  26. Moment Expansions of the Energy Distance2505.20647 · 27 May 2025
  27. Input Convex Kolmogorov Arnold Networks2505.21208 · 27 May 2025
  28. Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games2505.22781 · 28 May 2025
  29. Computing Optimal Transport Maps and Wasserstein Barycenters Using Conditional Normalizing Flows2505.22364 · 28 May 2025
  30. Almost Linear Convergence under Minimal Score Assumptions: Quantized Transition Diffusion2505.21892 · 28 May 2025
  31. Higher-Order Group Synchronization2505.21932 · 28 May 2025
  32. Symplectic Generative Networks (SGNs): A Hamiltonian Framework for Invertible Deep Generative Modeling2505.22527 · 28 May 2025
  33. Principled Out-of-Distribution Generalization via Simplicity2505.22622 · 28 May 2025
  34. Credal Prediction based on Relative Likelihood2505.22332 · 28 May 2025
  35. A Copula Based Supervised Filter for Feature Selection in Diabetes Risk Prediction Using Machine Learning2505.22554 · 28 May 2025
  36. Spectral clustering for dependent community Hawkes process models of temporal networks2505.21845 · 28 May 2025
  37. Highly Efficient and Effective LLMs with Multi-Boolean Architectures2505.22811 · 28 May 2025
  38. IGNIS: A Robust Neural Network Framework for Constrained Parameter Estimation in Archimedean Copulas2505.22518 · 28 May 2025
  39. Learning Curves of Stochastic Gradient Descent in Kernel Regression2505.22048 · 28 May 2025
  40. Individualised Counterfactual Examples Using Conformal Prediction Intervals2505.22326 · 28 May 2025
  41. Hypothesis Testing in Imaging Inverse Problems2505.22481 · 28 May 2025
  42. Learning Parametric Distributions from Samples and Preferences2505.23557 · 29 May 2025
  43. Deep Copula Classifier: Theory, Consistency, and Empirical Evaluation2505.22997 · 29 May 2025
  44. JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows2505.23196 · 29 May 2025
  45. On the Convergence Analysis of Muon2505.23737 · 29 May 2025
  46. Stable Thompson Sampling: Valid Inference via Variance Inflation2505.23260 · 29 May 2025
  47. Multilook Coherent Imaging: Theoretical Guarantees and Algorithms2505.23594 · 29 May 2025
  48. The Strong, Weak and Benign Goodhart's law. An independence-free and paradigm-agnostic formalisation2505.23445 · 29 May 2025
  49. Conformal Object Detection by Sequential Risk Control2505.24038 · 29 May 2025
  50. Instance-Optimality for Private KL Distribution Estimation2505.23620 · 29 May 2025
  51. Gibbs randomness-compression proposition2505.23869 · 29 May 2025
  52. A Mathematical Perspective On Contrastive Learning2505.24134 · 30 May 2025
  53. Impact of Bottleneck Layers and Skip Connections on the Generalization of Linear Denoising Autoencoders2505.24668 · 30 May 2025
  54. Multi-task Learning for Heterogeneous Data via Integrating Shared and Task-Specific Encodings2505.24281 · 30 May 2025
  55. Overfitting has a limitation: a model-independent generalization gap bound based on Rényi entropy2506.00182 · 30 May 2025
  56. Bayesian Data Sketching for Varying Coefficient Regression Models2506.00270 · 30 May 2025
  57. Efficient Estimation of Regularized Tyler's M-Estimator Using Approximate LOOCV2505.24781 · 30 May 2025
  58. Two failure modes of deep transformers and how to avoid them: a unified theory of signal propagation at initialisation2505.24333 · 30 May 2025
  59. Riemannian Principal Component Analysis2506.00226 · 30 May 2025
  60. Equilibrium Distribution for t-Distributed Stochastic Neighbor Embedding with Generalized Kernels2505.24311 · 30 May 2025
  61. Generalization Dynamics of Linear Diffusion Models2505.24769 · 30 May 2025
  62. K$^2$IE: Kernel Method-based Kernel Intensity Estimators for Inhomogeneous Poisson Processes2505.24704 · 30 May 2025
  63. Performative Risk Control: Calibrating Models for Reliable Deployment under Performativity2505.24097 · 30 May 2025
  64. Minimax Rates for the Estimation of Eigenpairs of Weighted Laplace-Beltrami Operators on Manifolds2506.00171 · 30 May 2025
  65. Statistical mechanics of extensive-width Bayesian neural networks near interpolation2505.24849 · 30 May 2025
  66. Knockoff-Guided Compressive Sensing: A Statistical Machine Learning Framework for Support-Assured Signal Recovery2505.24727 · 30 May 2025
  67. Score Matching With Missing Data2506.00557 · 31 May 2025
  68. Off-Policy Evaluation of Ranking Policies via Embedding-Space User Behavior Modeling2506.00446 · 31 May 2025
  69. Beyond Winning: Margin of Victory Relative to Expectation Unlocks Accurate Skill Ratings2506.00348 · 31 May 2025
  70. Label-shift robust federated feature screening for high-dimensional classification2506.00379 · 31 May 2025
  71. Generative diffusion posterior sampling for informative likelihoods2506.01083 · 1 Jun 2025
  72. Projection Pursuit Density Ratio Estimation2506.00866 · 1 Jun 2025
  73. Generalized Linear Markov Decision Process2506.00818 · 1 Jun 2025
  74. Linear regression with overparameterized linear neural networks: Tight upper and lower bounds for implicit $\ell^1$-regularization2506.01143 · 1 Jun 2025
  75. Reconstruction and Prediction of Volterra Integral Equations Driven by Gaussian Noise2506.00933 · 1 Jun 2025
  76. Enabling Probabilistic Learning on Manifolds through Double Diffusion Maps2506.02254 · 2 Jun 2025
  77. Signature Maximum Mean Discrepancy Two-Sample Statistical Tests2506.01718 · 2 Jun 2025
  78. Assumption-free stability for ranking problems2506.02257 · 2 Jun 2025
  79. Near-Optimal Clustering in Mixture of Markov Chains2506.01324 · 2 Jun 2025
  80. MoCA: Multi-modal Cross-masked Autoencoder for Time Series in Digital Health2506.02260 · 2 Jun 2025
  81. Adversarial learning for nonparametric regression: Minimax rate and adaptive estimation2506.01267 · 2 Jun 2025
  82. Machine-Learned Sampling of Conditioned Path Measures2506.01904 · 2 Jun 2025
  83. Doubly-Robust Estimation of Counterfactual Policy Mean Embeddings2506.02793 · 3 Jun 2025
  84. Causal Explainability of Machine Learning in Heart Failure Prediction from Electronic Health Records2506.03068 · 3 Jun 2025
  85. Large Stepsizes Accelerate Gradient Descent for Regularized Logistic Regression2506.02336 · 3 Jun 2025
  86. Computational Thresholds in Multi-Modal Learning via the Spiked Matrix-Tensor Model2506.02664 · 3 Jun 2025
  87. Non-stationary Bandit Convex Optimization: A Comprehensive Study2506.02980 · 3 Jun 2025
  88. GL-LowPopArt: A Nearly Instance-Wise Minimax-Optimal Estimator for Generalized Low-Rank Trace Regression2506.03074 · 3 Jun 2025
  89. Asymptotically perfect seeded graph matching without edge correlation (and applications to inference)2506.02825 · 3 Jun 2025
  90. Asymptotics of SGD in Sequence-Single Index Models and Single-Layer Attention Networks2506.02651 · 3 Jun 2025
  91. Safely Learning Controlled Stochastic Dynamics2506.02754 · 3 Jun 2025
  92. Tensor State Space-based Dynamic Multilayer Network Modeling2506.02413 · 3 Jun 2025
  93. Symmetry-Aware GFlowNets2506.02685 · 3 Jun 2025
  94. Higher-Order Singular-Value Derivatives of Rectangular Real Matrices2506.03764 · 4 Jun 2025
  95. Algorithm- and Data-Dependent Generalization Bounds for Diffusion Models2506.03849 · 4 Jun 2025
  96. Understanding challenges to the interpretation of disaggregated evaluations of algorithmic fairness2506.04193 · 4 Jun 2025
  97. Models of Heavy-Tailed Mechanistic Universality2506.03470 · 4 Jun 2025
  98. SubSearch: Robust Estimation and Outlier Detection for Stochastic Block Models via Subgraph Search2506.03657 · 4 Jun 2025
  99. Latent Guided Sampling for Combinatorial Optimization2506.03672 · 4 Jun 2025
  100. Spatially Resolved Meteorological and Ancillary Data in Central Europe for Rainfall Streamflow Modeling2506.03819 · 4 Jun 2025