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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. Optimal Stopping in Latent Diffusion Models2510.08409 · 9 Oct 2025
  2. High-dimensional Analysis of Synthetic Data Selection2510.08123 · 9 Oct 2025
  3. Beyond Real Data: Synthetic Data through the Lens of Regularization2510.08095 · 9 Oct 2025
  4. Stick-Breaking Mixture Normalizing Flows with Component-Wise Tail Adaptation for Variational Inference2510.07965 · 9 Oct 2025
  5. On the Optimality of the Median-of-Means Estimator under Adversarial Contamination2510.07867 · 9 Oct 2025
  6. Conditional Flow Matching for Bayesian Posterior Inference2510.09534 · 10 Oct 2025
  7. Learning with Incomplete Context: Linear Contextual Bandits with Pretrained Imputation2510.09908 · 10 Oct 2025
  8. Mirror Flow Matching with Heavy-Tailed Priors for Generative Modeling on Convex Domains2510.08929 · 10 Oct 2025
  9. A unifying Bayesian framework for adversarial robustness2510.09288 · 10 Oct 2025
  10. Efficient Autoregressive Inference for Transformer Probabilistic Models2510.09477 · 10 Oct 2025
  11. A Representer Theorem for Hawkes Processes via Penalized Least Squares Minimization2510.08916 · 10 Oct 2025
  12. Gradient-Guided Furthest Point Sampling for Robust Training Set Selection2510.08906 · 10 Oct 2025
  13. Distributionally robust approximation property of neural networks2510.09177 · 10 Oct 2025
  14. Interpretable Generative and Discriminative Learning for Multimodal and Incomplete Clinical Data2510.09513 · 10 Oct 2025
  15. Kernel Treatment Effects with Adaptively Collected Data2510.10245 · 11 Oct 2025
  16. Neural variational inference for cutting feedback during uncertainty propagation2510.10268 · 11 Oct 2025
  17. Calibrating Generative Models to Distributional Constraints2510.10020 · 11 Oct 2025
  18. On some practical challenges of conformal prediction2510.10324 · 11 Oct 2025
  19. Missing Data Multiple Imputation for Tabular Q-Learning in Online RL2510.10709 · 12 Oct 2025
  20. High-Dimensional Learning Dynamics of Quantized Models with Straight-Through Estimator2510.10693 · 12 Oct 2025
  21. How Patterns Dictate Learnability in Sequential Data2510.10744 · 12 Oct 2025
  22. Statistical Guarantees for High-Dimensional Stochastic Gradient Descent2510.12013 · 13 Oct 2025
  23. Simplifying Optimal Transport through Schatten-$p$ Regularization2510.11910 · 13 Oct 2025
  24. High-Probability Bounds For Heterogeneous Local Differential Privacy2510.11895 · 13 Oct 2025
  25. torchsom: The Reference PyTorch Library for Self-Organizing Maps2510.11147 · 13 Oct 2025
  26. Active Subspaces in Infinite Dimension2510.11871 · 13 Oct 2025
  27. Adversarial Robustness in One-Stage Learning-to-Defer2510.10988 · 13 Oct 2025
  28. Minimax Rates for Learning Pairwise Interactions in Attention-Style Models2510.11789 · 13 Oct 2025
  29. PAC-Bayesian Bounds on Constrained f-Entropic Risk Measures2510.11169 · 13 Oct 2025
  30. Quantifying Data Similarity Using Cross Learning2510.10866 · 13 Oct 2025
  31. On Thompson Sampling and Bilateral Uncertainty in Additive Bayesian Optimization2510.11792 · 13 Oct 2025
  32. Efficient Group Lasso Regularized Rank Regression with Simulation-Based Tuning2510.11546 · 13 Oct 2025
  33. Transfer Learning with Distance Covariance for Random Forest: Error Bounds and an EHR Application2510.10870 · 13 Oct 2025
  34. In-Context Learning Is Provably Bayesian Inference: A Generalization Theory for Meta-Learning2510.10981 · 13 Oct 2025
  35. Adapting Noise to Data: Generative Flows from 1D Processes2510.12636 · 14 Oct 2025
  36. Universal Adaptive Environment Discovery2510.12547 · 14 Oct 2025
  37. Improved Central Limit Theorem and Bootstrap Approximations for Linear Stochastic Approximation2510.12375 · 14 Oct 2025
  38. Conformal Inference for Open-Set and Imbalanced Classification2510.13037 · 14 Oct 2025
  39. Dendrograms of Mixing Measures for Softmax-Gated Gaussian Mixture of Experts: Consistency Without Model Sweeps2510.12744 · 14 Oct 2025
  40. Efficient Inference for Coupled Hidden Markov Models in Continuous Time and Discrete Space2510.12916 · 14 Oct 2025
  41. Follow-the-Perturbed-Leader for Decoupled Bandits: Best-of-Both-Worlds and Practicality2510.12152 · 14 Oct 2025
  42. Compressibility Measures Complexity: Minimum Description Length Meets Singular Learning Theory2510.12077 · 14 Oct 2025
  43. Thermodynamic structure of the Sinkhorn flow2510.12639 · 14 Oct 2025
  44. Learning Latent Energy-Based Models via Interacting Particle Langevin Dynamics2510.12311 · 14 Oct 2025
  45. Geopolitics, Geoeconomics, and Sovereign Risk: Different Shocks, Different Channels2510.12416 · 14 Oct 2025
  46. Simplicial Gaussian Models: Representation and Inference2510.12983 · 14 Oct 2025
  47. deFOREST: Fusing Optical and Radar satellite data for Enhanced Sensing of Tree-loss2510.14092 · 15 Oct 2025
  48. PriorGuide: Test-Time Prior Adaptation for Simulation-Based Inference2510.13763 · 15 Oct 2025
  49. Near-Optimality of Contrastive Divergence Algorithms2510.13438 · 15 Oct 2025
  50. A Multi-dimensional Semantic Surprise Framework Based on Low-Entropy Semantic Manifolds for Fine-Grained Out-of-Distribution Detection2510.13093 · 15 Oct 2025
  51. Robust Minimax Boosting with Performance Guarantees2510.13445 · 15 Oct 2025
  52. On the Identifiability of Causal Graphs with the Invariance Principle2510.13583 · 15 Oct 2025
  53. High-Dimensional BWDM: A Robust Nonparametric Clustering Validation Index for Large-Scale Data2510.14145 · 15 Oct 2025
  54. Gaussian Certified Unlearning in High Dimensions: A Hypothesis Testing Approach2510.13094 · 15 Oct 2025
  55. Exact Dynamics of Multi-class Stochastic Gradient Descent2510.14074 · 15 Oct 2025
  56. The Tree-SNE Tree Exists2510.15014 · 16 Oct 2025
  57. The Minimax Lower Bound of Kernel Stein Discrepancy Estimation2510.15058 · 16 Oct 2025
  58. Manifold Dimension Estimation via Local Graph Structure2510.15141 · 16 Oct 2025
  59. The Coverage Principle: How Pre-Training Enables Post-Training2510.15020 · 16 Oct 2025
  60. Row-wise Fusion Regularization: An Interpretable Personalized Federated Learning Framework in Large-Scale Scenarios2510.14413 · 16 Oct 2025
  61. A novel Information-Driven Strategy for Optimal Regression Assessment2510.14222 · 16 Oct 2025
  62. Reliable data clustering with Bayesian community detection2510.15013 · 16 Oct 2025
  63. From Universal Approximation Theorem to Tropical Geometry of Multi-Layer Perceptrons2510.15012 · 16 Oct 2025
  64. Local Causal Discovery for Statistically Efficient Causal Inference2510.14582 · 16 Oct 2025
  65. A Geometric Approach to Optimal Experimental Design2510.14848 · 16 Oct 2025
  66. Inverse Problems for Partial Differential Equations with Jump Discontinuities in Coefficients via Two-Stage Physics-Informed Deep Learning and Statistical Mixture Models2510.14656 · 16 Oct 2025
  67. Fast and Scalable Score-Based Kernel Calibration Tests2510.14711 · 16 Oct 2025
  68. Disentanglement of Sources in a Multi-Stream Variational Autoencoder2510.15669 · 17 Oct 2025
  69. RankSEG-RMA: An Efficient Segmentation Algorithm via Reciprocal Moment Approximation2510.15362 · 17 Oct 2025
  70. Transfer Learning for Benign Overfitting in High-Dimensional Linear Regression2510.15337 · 17 Oct 2025
  71. Fast Best-in-Class Regret for Contextual Bandits2510.15483 · 17 Oct 2025
  72. Personalized Collaborative Learning with Affinity-Based Variance Reduction2510.16232 · 17 Oct 2025
  73. Geometric Convergence Analysis of Variational Inference via Bregman Divergences2510.15548 · 17 Oct 2025
  74. Information Theory in Open-world Machine Learning Foundations, Frameworks, and Future Direction2510.15422 · 17 Oct 2025
  75. Recursive Inference for Heterogeneous Multi-Output GP State-Space Models with Arbitrary Moment Matching2510.15390 · 17 Oct 2025
  76. Adaptive Conformal Inference through the Lens of Blackwell Approachability2510.15824 · 17 Oct 2025
  77. Learning density ratios in causal inference using Bregman-Riesz regression2510.16127 · 17 Oct 2025
  78. Kernel-Based Evaluation of Conditional Biological Sequence Models2510.15601 · 17 Oct 2025
  79. Robust Optimization in Causal Models and G-Causal Normalizing Flows2510.15458 · 17 Oct 2025
  80. Error analysis of a compositional score-based algorithm for simulation-based inference2510.15817 · 17 Oct 2025
  81. Foresighted Online Policy Optimization with Interference2510.15273 · 17 Oct 2025
  82. On Universality of Deep Equivariant Networks2510.15814 · 17 Oct 2025
  83. Kernel Regression in Structured Non-IID Settings: Theory and Implications for Denoising Score Learning2510.15363 · 17 Oct 2025
  84. Accelerated Learning on Large Scale Screens using Generative Library Models2510.16612 · 18 Oct 2025
  85. Certainty in Uncertainty: Reasoning over Uncertain Knowledge Graphs with Statistical Guarantees2510.24754 · 18 Oct 2025
  86. Graphical model for factorization and completion of relatively high rank tensors by sparse sampling2510.17886 · 18 Oct 2025
  87. ARCO-BO: Adaptive Resource-aware COllaborative Bayesian Optimization for Heterogeneous Multi-Agent Design2510.16652 · 18 Oct 2025
  88. From Reviews to Actionable Insights: An LLM-Based Approach for Attribute and Feature Extraction2510.16551 · 18 Oct 2025
  89. A Relative Error-Based Evaluation Framework of Heterogeneous Treatment Effect Estimators2510.16419 · 18 Oct 2025
  90. A Bayesian Framework for Symmetry Inference in Chaotic Attractors2510.16509 · 18 Oct 2025
  91. Multi-Marginal Schrödinger Bridge Matching2510.16587 · 18 Oct 2025
  92. Escaping Model Collapse via Synthetic Data Verification: Near-term Improvements and Long-term Convergence2510.16657 · 18 Oct 2025
  93. Infinite Neural Operators: Gaussian processes on functions2510.16675 · 19 Oct 2025
  94. Kernel-Based Nonparametric Tests For Shape Constraints2510.16745 · 19 Oct 2025
  95. When to Transfer: Adaptive Source Selection for Positive Transfer in Linear Models2510.16986 · 19 Oct 2025
  96. Local regression on path spaces with signature metrics2510.16728 · 19 Oct 2025
  97. Learning Time-Varying Graphs from Incomplete Graph Signals2510.17903 · 19 Oct 2025
  98. Prediction-Augmented Trees for Reliable Statistical Inference2510.16937 · 19 Oct 2025
  99. Mode Collapse of Mean-Field Variational Inference2510.17063 · 20 Oct 2025
  100. Beating the Winner's Curse via Inference-Aware Policy Optimization2510.18161 · 20 Oct 2025