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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. Deep Intrinsic Coregionalization Multi-Output Gaussian Process Surrogate with Active Learning2508.16434 · 22 Aug 2025
  2. Limitations of refinement methods for weak to strong generalization2508.17018 · 23 Aug 2025
  3. GraphPPD: Posterior Predictive Modelling for Graph-Level Inference2508.16995 · 23 Aug 2025
  4. Factor Informed Double Deep Learning For Average Treatment Effect Estimation2508.17136 · 23 Aug 2025
  5. Rao Differential Privacy2508.17135 · 23 Aug 2025
  6. Neural Stochastic Differential Equations on Compact State Spaces: Theory, Methods, and Application to Suicide Risk Modeling2508.17090 · 23 Aug 2025
  7. CP4SBI: Local Conformal Calibration of Credible Sets in Simulation-Based Inference2508.17077 · 23 Aug 2025
  8. On the sample complexity of semi-supervised multi-objective learning2508.17152 · 23 Aug 2025
  9. High-Order Langevin Monte Carlo Algorithms2508.17545 · 24 Aug 2025
  10. Deterministic Coreset Construction via Adaptive Sensitivity Trimming2508.18340 · 25 Aug 2025
  11. Clinical characteristics, complications and outcomes of critically ill patients with Dengue in Brazil, 2012-2024: a nationwide, multicentre cohort study2508.18207 · 25 Aug 2025
  12. The Statistical Fairness-Accuracy Frontier2508.17622 · 25 Aug 2025
  13. Algebraic Approach to Ridge-Regularized Mean Squared Error Minimization in Minimal ReLU Neural Network2508.17783 · 25 Aug 2025
  14. Quantum-inspired probability metrics define a complete, universal space for statistical learning2508.21086 · 26 Aug 2025
  15. Efficient Best-of-Both-Worlds Algorithms for Contextual Combinatorial Semi-Bandits2508.18768 · 26 Aug 2025
  16. Sparse minimum Redundancy Maximum Relevance for feature selection2508.18901 · 26 Aug 2025
  17. Revisiting Follow-the-Perturbed-Leader with Unbounded Perturbations in Bandit Problems2508.18604 · 26 Aug 2025
  18. Echoes of the Past: A Unified Perspective on Fading memory and Echo States2508.19145 · 26 Aug 2025
  19. Fractal Flow: Hierarchical and Interpretable Normalizing Flow via Topic Modeling and Recursive Strategy2508.19750 · 27 Aug 2025
  20. The Information Dynamics of Generative Diffusion2508.19897 · 27 Aug 2025
  21. Conditional Normalizing Flow Surrogate for Monte Carlo Prediction of Radiative Properties in Nanoparticle-Embedded Layers2508.19841 · 27 Aug 2025
  22. Transfer Learning for Classification under Decision Rule Drift with Application to Optimal Individualized Treatment Rule Estimation2508.20942 · 28 Aug 2025
  23. Polynomial Chaos Expansion for Operator Learning2508.20886 · 28 Aug 2025
  24. Weighted Support Points from Random Measures: An Interpretable Alternative for Generative Modeling2508.21255 · 28 Aug 2025
  25. Stochastic Gradients under Nuisances2508.20326 · 28 Aug 2025
  26. Improving the Accuracy of Amortized Model Comparison with Self-Consistency2508.20614 · 28 Aug 2025
  27. The Nondecreasing Rank2509.00265 · 29 Aug 2025
  28. Simulation-based inference of yeast centromeres2509.00200 · 29 Aug 2025
  29. Adaptive generative moment matching networks for improved learning of dependence structures2508.21531 · 29 Aug 2025
  30. Probit Monotone BART2509.00263 · 29 Aug 2025
  31. Assessing One-Dimensional Cluster Stability by Extreme-Point Trimming2509.00258 · 29 Aug 2025
  32. Partially Functional Dynamic Backdoor Diffusion-based Causal Model2509.00472 · 30 Aug 2025
  33. Identifying Causal Direction via Dense Functional Classes2509.00538 · 30 Aug 2025
  34. Semi-Supervised Bayesian GANs with Log-Signatures for Uncertainty-Aware Credit Card Fraud Detection2509.00931 · 31 Aug 2025
  35. Beyond Universal Approximation Theorems: Algorithmic Uniform Approximation by Neural Networks Trained with Noisy Data2509.00924 · 31 Aug 2025
  36. Hybrid Topic-Semantic Labeling and Graph Embeddings for Unsupervised Legal Document Clustering2509.00990 · 31 Aug 2025
  37. Lipschitz-Guided Design of Interpolation Schedules in Generative Models2509.01629 · 1 Sept 2025
  38. Preconditioned Regularized Wasserstein Proximal Sampling2509.01685 · 1 Sept 2025
  39. Gaussian process surrogate with physical law-corrected prior for multi-coupled PDEs defined on irregular geometry2509.02617 · 1 Sept 2025
  40. The Price of Sparsity: Sufficient Conditions for Sparse Recovery using Sparse and Sparsified Measurements2509.01809 · 1 Sept 2025
  41. Variational Uncertainty Decomposition for In-Context Learning2509.02327 · 2 Sept 2025
  42. Non-Linear Model-Based Sequential Decision-Making in Agriculture2509.01924 · 2 Sept 2025
  43. Perturbing the Derivative: Wild Refitting for Model-Free Evaluation of Machine Learning Models under Bregman Losses2509.02476 · 2 Sept 2025
  44. Distribution estimation via Flow Matching with Lipschitz guarantees2509.02337 · 2 Sept 2025
  45. Synthetic data for ratemaking: imputation-based methods vs adversarial networks and autoencoders2509.02171 · 2 Sept 2025
  46. Fast kernel methods: Sobolev, physics-informed, and additive models2509.02649 · 2 Sept 2025
  47. Inference in Spreading Processes with Neural-Network Priors2509.02073 · 2 Sept 2025
  48. Probabilities of Causation and Root Cause Analysis with Quasi-Markovian Models2509.02535 · 2 Sept 2025
  49. Design of Experiment for Discovering Directed Mixed Graph2509.01887 · 2 Sept 2025
  50. Energy-Weighted Flow Matching: Unlocking Continuous Normalizing Flows for Efficient and Scalable Boltzmann Sampling2509.03726 · 3 Sept 2025
  51. Bayesian Additive Regression Trees for functional ANOVA model2509.03317 · 3 Sept 2025
  52. Understanding and Improving Shampoo and SOAP via Kullback-Leibler Minimization2509.03378 · 3 Sept 2025
  53. Non-Linear Counterfactual Aggregate Optimization2509.03438 · 3 Sept 2025
  54. Off-Policy Learning in Large Action Spaces: Optimization Matters More Than Estimation2509.03456 · 3 Sept 2025
  55. Scale-Adaptive Generative Flows for Multiscale Scientific Data2509.02971 · 3 Sept 2025
  56. Testing for correlation between network structure and high-dimensional node covariates2509.03772 · 3 Sept 2025
  57. Diffusion Generative Models Meet Compressed Sensing, with Applications to Imaging and Finance2509.03898 · 4 Sept 2025
  58. Connections between reinforcement learning with feedback,test-time scaling, and diffusion guidance: An anthology2509.04372 · 4 Sept 2025
  59. Stochastic Matching Bandits with Rare Optimization Updates2509.04194 · 4 Sept 2025
  60. An invertible generative model for forward and inverse problems2509.03910 · 4 Sept 2025
  61. Cryo-EM as a Stochastic Inverse Problem2509.05541 · 5 Sept 2025
  62. Diffusion Secant Alignment for Score-Based Density Ratio Estimation2509.04852 · 5 Sept 2025
  63. Probabilistic operator learning: generative modeling and uncertainty quantification for foundation models of differential equations2509.05186 · 5 Sept 2025
  64. Spectral Algorithms in Misspecified Regression: Convergence under Covariate Shift2509.05106 · 5 Sept 2025
  65. Optimal Variance and Covariance Estimation under Differential Privacy in the Add-Remove Model and Beyond2509.04919 · 5 Sept 2025
  66. Causal Clustering for Conditional Average Treatment Effects Estimation and Subgroup Discovery2509.05775 · 6 Sept 2025
  67. Misspecification-robust amortised simulation-based inference using variational methods2509.05724 · 6 Sept 2025
  68. Risk-averse Fair Multi-class Classification2509.05771 · 6 Sept 2025
  69. Fisher Random Walk: Automatic Debiasing Contextual Preference Inference for Large Language Model Evaluation2509.05852 · 6 Sept 2025
  70. Sequential Additivity in Distributionally Robust Ranking and Selection2509.06147 · 7 Sept 2025
  71. Uncertainty Quantification in Probabilistic Machine Learning Models: Theory, Methods, and Insights2509.05877 · 7 Sept 2025
  72. ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression2509.07108 · 8 Sept 2025
  73. Automated Hierarchical Graph Construction for Multi-source Electronic Health Records2509.06576 · 8 Sept 2025
  74. Alternative Graph Neural Networks: Synergizing GEV Models and Deep Learning for Travel Mode Choice Modeling2509.07123 · 8 Sept 2025
  75. Robust and Adaptive Spectral Method for Representation Multi-Task Learning with Contamination2509.06575 · 8 Sept 2025
  76. Sequential Least-Squares Estimators with Fast Randomized Sketching for Linear Statistical Models2509.06856 · 8 Sept 2025
  77. MOSAIC: Minimax-Optimal Sparsity-Adaptive Inference for Change Points in Dynamic Networks2509.06303 · 8 Sept 2025
  78. Kernel VICReg for Self-Supervised Learning in Reproducing Kernel Hilbert Space2509.07289 · 8 Sept 2025
  79. Minimax optimal transfer learning for high-dimensional additive regression2509.06308 · 8 Sept 2025
  80. Learning from one graph: transductive learning guarantees via the geometry of small random worlds2509.06894 · 8 Sept 2025
  81. Identifying Neural Signatures from fMRI using Hybrid Principal Components Regression2509.07300 · 9 Sept 2025
  82. Asynchronous Gossip Algorithms for Rank-Based Statistical Methods2509.07543 · 9 Sept 2025
  83. kNNSampler: Stochastic Imputations for Recovering Missing Value Distributions2509.08366 · 10 Sept 2025
  84. Gaussian Process Regression -- Neural Network Hybrid with Optimized Redundant Coordinates2509.08457 · 10 Sept 2025
  85. A Common Pipeline for Harmonizing Electronic Health Record Data for Translational Research2509.08553 · 10 Sept 2025
  86. A hierarchical entropy method for the delocalization of bias in high-dimensional Langevin Monte Carlo2509.08619 · 10 Sept 2025
  87. Low-degree lower bounds via almost orthonormal bases2509.09353 · 11 Sept 2025
  88. An Information-Theoretic Framework for Credit Risk Modeling: Unifying Industry Practice with Statistical Theory for Fair and Interpretable Scorecards2509.09855 · 11 Sept 2025
  89. Global Optimization of Stochastic Black-Box Functions with Arbitrary Noise Distributions using Wilson Score Kernel Density Estimation2509.09238 · 11 Sept 2025
  90. Scalable extensions to given-data Sobol' index estimators2509.09078 · 11 Sept 2025
  91. Repulsive Monte Carlo on the sphere for the sliced Wasserstein distance2509.10166 · 12 Sept 2025
  92. Exact Generalisation Error Exposes Benchmarks Skew Graph Neural Networks Success (or Failure)2509.10337 · 12 Sept 2025
  93. Differentially Private Decentralized Dataset Synthesis Through Randomized Mixing with Correlated Noise2509.10385 · 12 Sept 2025
  94. Variable Selection Using Relative Importance Rankings2509.10853 · 13 Sept 2025
  95. Some Robustness Properties of Label Cleaning2509.11379 · 14 Sept 2025
  96. A Particle-Flow Algorithm for Free-Support Wasserstein Barycenters2509.11435 · 14 Sept 2025
  97. A Kernel-based Stochastic Approximation Framework for Nonlinear Operator Learning2509.11070 · 14 Sept 2025
  98. Next-Generation Reservoir Computing for Dynamical Inference2509.11338 · 14 Sept 2025
  99. Maximum diversity and weighting for invariants of periodic time series2509.11146 · 14 Sept 2025
  100. Predictable Compression Failures: Order Sensitivity and Information Budgeting for Evidence-Grounded Binary Adjudication2509.11208 · 14 Sept 2025