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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. Scalable Machine Learning Algorithms using Path Signatures2506.17634 · 21 Jun 2025
  2. DRO-Augment Framework: Robustness by Synergizing Wasserstein Distributionally Robust Optimization and Data Augmentation2506.17874 · 22 Jun 2025
  3. Identifiable Convex-Concave Regression via Sub-gradient Regularised Least Squares2506.18078 · 22 Jun 2025
  4. Local Averaging Accurately Distills Manifold Structure From Noisy Data2506.18761 · 23 Jun 2025
  5. Phase retrieval with rank $d$ measurements -- \emph{descending} algorithms phase transitions2506.18282 · 23 Jun 2025
  6. Optimal spectral initializers impact on phase retrieval phase transitions -- an RDT view2506.18279 · 23 Jun 2025
  7. Asymptotic convexity of wide and shallow neural networks2507.01044 · 23 Jun 2025
  8. On the Interpolation Error of Nonlinear Attention versus Linear Regression2506.18656 · 23 Jun 2025
  9. Trustworthy Prediction with Gaussian Process Knowledge Scores2506.18630 · 23 Jun 2025
  10. Quantifying Uncertainty in the Presence of Distribution Shifts2506.18283 · 23 Jun 2025
  11. Tight Generalization Error Bounds for Stochastic Gradient Descent in Non-convex Learning2506.18645 · 23 Jun 2025
  12. Theoretical guarantees for neural estimators in parametric statistics2506.18508 · 23 Jun 2025
  13. When Diffusion Models Memorize: Inductive Biases in Probability Flow of Minimum-Norm Shallow Neural Nets2506.19031 · 23 Jun 2025
  14. Phase transition of \emph{descending} phase retrieval algorithms2506.18275 · 23 Jun 2025
  15. Posterior Contraction for Sparse Neural Networks in Besov Spaces with Intrinsic Dimensionality2506.19144 · 23 Jun 2025
  16. Simulation-Based Sensitivity Analysis in Optimal Treatment Regimes and Causal Decomposition with Individualized Interventions2506.19010 · 23 Jun 2025
  17. The Shape of Consumer Behavior: A Symbolic and Topological Analysis of Time Series2506.19759 · 24 Jun 2025
  18. Rare dense solutions clusters in asymmetric binary perceptrons -- local entropy via fully lifted RDT2506.19276 · 24 Jun 2025
  19. Convergence and clustering analysis for Mean Shift with radially symmetric, positive definite kernels2506.19837 · 24 Jun 2025
  20. Data-Driven Dynamic Factor Modeling via Manifold Learning2506.19945 · 24 Jun 2025
  21. Near-optimal estimates for the $\ell^p$-Lipschitz constants of deep random ReLU neural networks2506.19695 · 24 Jun 2025
  22. A Principled Path to Fitted Distributional Evaluation2506.20048 · 24 Jun 2025
  23. Global Convergence of Iteratively Reweighted Least Squares for Robust Subspace Recovery2506.20533 · 25 Jun 2025
  24. Scalable Subset Selection in Linear Mixed Models2506.20425 · 25 Jun 2025
  25. POLAR: A Pessimistic Model-based Policy Learning Algorithm for Dynamic Treatment Regimes2506.20406 · 25 Jun 2025
  26. Valid Selection among Conformal Sets2506.20173 · 25 Jun 2025
  27. Stable Minima of ReLU Neural Networks Suffer from the Curse of Dimensionality: The Neural Shattering Phenomenon2506.20779 · 25 Jun 2025
  28. Extracting Interpretable Models from Tree Ensembles: Computational and Statistical Perspectives2506.20114 · 25 Jun 2025
  29. LARP: Learner-Agnostic Robust Data Prefiltering2506.20573 · 25 Jun 2025
  30. Lower Bounds on the Size of Markov Equivalence Classes2506.20933 · 26 Jun 2025
  31. Classification with Reject Option: Distribution-free Error Guarantees via Conformal Prediction2506.21802 · 26 Jun 2025
  32. Active Learning for Manifold Gaussian Process Regression2506.20928 · 26 Jun 2025
  33. Critically-Damped Higher-Order Langevin Dynamics for Generative Modeling2506.21741 · 26 Jun 2025
  34. Modification of a Numerical Method Using FIR Filters in a Time-dependent SIR Model for COVID-192506.21739 · 26 Jun 2025
  35. Wild refitting for black box prediction2506.21460 · 26 Jun 2025
  36. TADA: Improved Diffusion Sampling with Training-free Augmented Dynamics2506.21757 · 26 Jun 2025
  37. Forecasting Geopolitical Events with a Sparse Temporal Fusion Transformer and Gaussian Process Hybrid: A Case Study in Middle Eastern and U.S. Conflict Dynamics2506.20935 · 26 Jun 2025
  38. Gaussian Invariant Markov Chain Monte Carlo2506.21511 · 26 Jun 2025
  39. Homogenization of Multi-agent Learning Dynamics in Finite-state Markov Games2506.21079 · 26 Jun 2025
  40. Hyperspherical Variational Autoencoders Using Efficient Spherical Cauchy Distribution2506.21278 · 26 Jun 2025
  41. Bayesian Invariance Modeling of Multi-Environment Data2506.22675 · 27 Jun 2025
  42. Uncovering smooth structures in single-cell data with PCS-guided neighbor embeddings2506.22228 · 27 Jun 2025
  43. Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts2506.22343 · 27 Jun 2025
  44. Beyond ReLU: How Activations Affect Neural Kernels and Random Wide Networks2506.22429 · 27 Jun 2025
  45. Hybrid Generative Modeling for Incomplete Physics: Deep Grey-Box Meets Optimal Transport2506.22204 · 27 Jun 2025
  46. Adjoint Schrödinger Bridge Sampler2506.22565 · 27 Jun 2025
  47. Strategic A/B testing via Maximum Probability-driven Two-armed Bandit2506.22536 · 27 Jun 2025
  48. Thompson Sampling in Function Spaces via Neural Operators2506.21894 · 27 Jun 2025
  49. CN-SBM: Categorical Block Modelling For Primary and Residual Copy Number Variation2506.22963 · 28 Jun 2025
  50. DPOT: A DeepParticle method for Computation of Optimal Transport with convergence guarantee2506.23429 · 29 Jun 2025
  51. AICO: Feature Significance Tests for Supervised Learning2506.23396 · 29 Jun 2025
  52. Test of partial effects for Frechet regression on Bures-Wasserstein manifolds2506.23487 · 30 Jun 2025
  53. Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets2507.00298 · 30 Jun 2025
  54. Disentangled Feature Importance2507.00260 · 30 Jun 2025
  55. Minimax Optimal Two-Stage Algorithm For Moment Estimation Under Covariate Shift2506.23453 · 30 Jun 2025
  56. GRAND: Graph Release with Assured Node Differential Privacy2507.00402 · 1 Jul 2025
  57. An in depth look at the Procrustes-Wasserstein distance: properties and barycenters2507.00894 · 1 Jul 2025
  58. Forward Reverse Kernel Regression for the Schrödinger bridge problem2507.00640 · 1 Jul 2025
  59. Parsimonious Gaussian mixture models with piecewise-constant eigenvalue profiles2507.01542 · 2 Jul 2025
  60. When Less Is More: Binary Feedback Can Outperform Ordinal Comparisons in Ranking Recovery2507.01613 · 2 Jul 2025
  61. Neural Measures for learning distributions of Random PDEs2507.01687 · 2 Jul 2025
  62. Adaptive Iterative Soft-Thresholding Algorithm with the Median Absolute Deviation2507.02084 · 2 Jul 2025
  63. Transfer Learning for Matrix Completion2507.02248 · 3 Jul 2025
  64. Hybrid least squares for learning functions from highly noisy data2507.02215 · 3 Jul 2025
  65. It's Hard to Be Normal: The Impact of Noise on Structure-agnostic Estimation2507.02275 · 3 Jul 2025
  66. Sparse Gaussian Processes: Structured Approximations and Power-EP Revisited2507.02377 · 3 Jul 2025
  67. Beyond SEO: A Transformer-Based Approach for Reinventing Web Content Optimisation2507.03169 · 3 Jul 2025
  68. Determination of Particle-Size Distributions from Light-Scattering Measurement Using Constrained Gaussian Process Regression2507.03736 · 4 Jul 2025
  69. Implicit Regularisation in Diffusion Models: An Algorithm-Dependent Generalisation Analysis2507.03756 · 4 Jul 2025
  70. Robust estimation of heterogeneous treatment effects in randomized trials leveraging external data2507.03681 · 4 Jul 2025
  71. Sequential Regression Learning with Randomized Algorithms2507.03759 · 4 Jul 2025
  72. LILI clustering algorithm: Limit Inferior Leaf Interval Integrated into Causal Forest for Causal Interference2507.03271 · 4 Jul 2025
  73. Model selection for stochastic dynamics: a parsimonious and principled approach2507.04121 · 5 Jul 2025
  74. Leo Breiman, the Rashomon Effect, and the Occam Dilemma2507.03884 · 5 Jul 2025
  75. Where to Intervene: Action Selection in Deep Reinforcement Learning2507.04187 · 5 Jul 2025
  76. Efficient Perplexity Bound and Ratio Matching in Discrete Diffusion Language Models2507.04341 · 6 Jul 2025
  77. Bandit Pareto Set Identification in a Multi-Output Linear Model2507.04255 · 6 Jul 2025
  78. Mixed-Sample SGD: an End-to-end Analysis of Supervised Transfer Learning2507.04194 · 6 Jul 2025
  79. A Category-Theoretic Analysis of Conformal Prediction2507.04441 · 6 Jul 2025
  80. Inertial Quadratic Majorization Minimization with Application to Kernel Regularized Learning2507.04247 · 6 Jul 2025
  81. Neural Networks for Tamed Milstein Approximation of SDEs with Additive Symmetric Jump Noise Driven by a Poisson Random Measure2507.04417 · 6 Jul 2025
  82. Intervening to Learn and Compose Causally Disentangled Representations2507.04754 · 7 Jul 2025
  83. Temporal Conformal Prediction (TCP): A Distribution-Free Statistical and Machine Learning Framework for Adaptive Risk Forecasting2507.05470 · 7 Jul 2025
  84. Enjoying Non-linearity in Multinomial Logistic Bandits: A Minimax-Optimal Algorithm2507.05306 · 7 Jul 2025
  85. Vecchia-Inducing-Points Full-Scale Approximations for Gaussian Processes2507.05064 · 7 Jul 2025
  86. Constructive Universal Approximation and Sure Convergence for Multi-Layer Neural Networks2507.04779 · 7 Jul 2025
  87. Optimal Model Selection for Conformalized Robust Optimization2507.04716 · 7 Jul 2025
  88. Online Regularized Learning Algorithms in RKHS with $β$- and $φ$-Mixing Sequences2507.05929 · 8 Jul 2025
  89. Estimating prevalence with precision and accuracy2507.06061 · 8 Jul 2025
  90. Associative Memory for Non-Stationary Environments: A Self-Sizing Generalization of Hopfield Networks2507.10443 · 8 Jul 2025
  91. Property Elicitation on Imprecise Probabilities2507.05857 · 8 Jul 2025
  92. Best-of-N through the Smoothing Lens: KL Divergence and Regret Analysis2507.05913 · 8 Jul 2025
  93. A Malliavin calculus approach to score functions in diffusion generative models2507.05550 · 8 Jul 2025
  94. Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators2507.06055 · 8 Jul 2025
  95. Fast Gaussian Processes under Monotonicity Constraints2507.06677 · 9 Jul 2025
  96. Distribution-free inference for LightGBM and GLM with Tweedie loss2507.06921 · 9 Jul 2025
  97. On the Hardness of Unsupervised Domain Adaptation: Optimal Learners and Information-Theoretic Perspective2507.06552 · 9 Jul 2025
  98. Off-Policy Evaluation Under Nonignorable Missing Data2507.06961 · 9 Jul 2025
  99. Unreduced Persistence Diagrams for Topological Machine Learning2507.07156 · 9 Jul 2025
  100. Adaptive collaboration for online personalized distributed learning with heterogeneous clients2507.06844 · 9 Jul 2025