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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. Beyond Global Divergences: A Local-Mass Perspective on Bayesian Inference2606.27090 · 25 Jun 2026
  2. When are likely answers right? On Sequence Probability and Correctness in LLMs2606.27359 · 25 Jun 2026
  3. Ribbon: Scalable Approximation and Robust Uncertainty Quantification2606.27269 · 25 Jun 2026
  4. Directed Graph Topology Inference via Graph Filter Identification2606.27455 · 25 Jun 2026
  5. Spectral Perturbation of the Empirical Fisher Information Matrix under Weight Quantization2606.28432 · 26 Jun 2026
  6. Value of Information under Imprecise Probabilities: Decision-Rule-Specific Values and Fixed-Measure Envelopes on a Credal Set2607.06570 · 26 Jun 2026
  7. Adaptive Iterative Hard Thresholding for Online High-dimensional Quantile Regression2606.28652 · 26 Jun 2026
  8. Local Fokker--Planck Geometry for Score Estimation: Heat-Ball Mean-Value Representations and Exact High-Dimensional Sampling2606.27954 · 26 Jun 2026
  9. Adversarial Contamination Meets Hard Thresholding: An Iterative Algorithm with Signal Adaptivity and Minimax Optimality2606.27685 · 26 Jun 2026
  10. Surprises in Proper Positive-Only Learning2606.28309 · 26 Jun 2026
  11. Perspectives on Latent Factor Indeterminacy and its Implications for Data Representation2606.28854 · 27 Jun 2026
  12. A Bayesian latent Gaussian process framework for aerodynamic uncertainty quantification2606.28871 · 27 Jun 2026
  13. Connectivity Estimation using Stochastic Graph Heat Modelling2606.29098 · 27 Jun 2026
  14. Variance Reduction for Stochastic Gradient Generalized Non-reversible Langevin Monte Carlo Algorithms2606.28808 · 27 Jun 2026
  15. Gradient boosting with vector-valued leafs2606.29326 · 28 Jun 2026
  16. Self-Organized Conformal Prediction: Reducing Regional Coverage Gaps with Unsupervised Group Discovery2606.29403 · 28 Jun 2026
  17. Bidirectional Autoregressive Latent Diffusion for Forward and Inverse Magnetohydrodynamics2606.29620 · 28 Jun 2026
  18. Generalization Analysis of Transformers in Distribution Regression2606.29256 · 28 Jun 2026
  19. Extrapolating from Regularised Solutions for Solving Ill-Conditioned Linear Systems in Machine Learning2606.30328 · 29 Jun 2026
  20. SGD at the Edge of Stability: Stochastic Stabilization with Large Learning Rates2606.30930 · 29 Jun 2026
  21. Separation Capacity of Scattering Networks2606.30822 · 29 Jun 2026
  22. Factorizable Normalizing Flows for parameter-dependent density morphing2606.30489 · 29 Jun 2026
  23. Non-parametric recovery of causal diffusion mechanisms from steady-state observations2606.30467 · 29 Jun 2026
  24. Dynamic Prediction of Alternating Recurrent Events via Neural Network2606.30889 · 29 Jun 2026
  25. A Stochastic--Geometric Theory of Scaling Laws in Grokking2606.30388 · 29 Jun 2026
  26. SGD Provably Prioritizes a Shortcut Spurious Feature in the XOR Model2606.30444 · 29 Jun 2026
  27. Adjusted Wasserstein distances for bridging empirical and true distributions with applications to MDS2606.29665 · 29 Jun 2026
  28. Doubly Robust Adaptive Conformal Inference for Causal Effects Under Temporal Dependence2606.30500 · 29 Jun 2026
  29. Highly Data Parallelizable Estimation of the Sliced-Wasserstein Distance Using Cumulative Distribution Functions2606.30310 · 29 Jun 2026
  30. Optimization Dynamics Imprint Semantic Specificity in Contrastive Embedding Norms2606.30625 · 29 Jun 2026
  31. Notes on generative modeling: flow matching, diffusion, optimal transport and Schr{ö}dinger bridge2606.30053 · 29 Jun 2026
  32. eXact-Prior Variational Autoencoder (X-VAE): Learning Data-Adaptive Gaussian Mixture Priors for Latent Distributions2607.01275 · 30 Jun 2026
  33. CORA: Per-Slice Coherent Orthogonal Rotation for SVD-based Low-Rank Adaptation2607.02576 · 30 Jun 2026
  34. MNAR-$k$-means: A $k$-means Clustering for Data Missing Not at Random with Magnitude-Decaying Probability2606.31253 · 30 Jun 2026
  35. Dynamic Gaussian Processes and the Vanilla-SPDE Exchange2606.31063 · 30 Jun 2026
  36. Accelerating Conformal Prediction via Approximate Leave-One-Out2606.31915 · 30 Jun 2026
  37. From Spectral Methods to Sample Complexity Bounds for Fourier Neural Operators2607.00320 · 1 Jul 2026
  38. Deep Multitask Learning for Mixed-Type Outcomes with Shared Sparsity2607.00995 · 1 Jul 2026
  39. Function-Counting Theory for Low-Dimensional Data Structures2607.01010 · 1 Jul 2026
  40. Characterizing and Identifying Separable Graphical Models2607.01057 · 1 Jul 2026
  41. Hierarchical Variational Kalman Filtering2607.00877 · 1 Jul 2026
  42. Neural Network-Based Estimation of Time-Dependent Parameters in AR(p) Processes2607.00470 · 1 Jul 2026
  43. Autorelevance function and other feature relevance measures for univariate time series2607.01959 · 2 Jul 2026
  44. Born Discrete, Made Smooth: Variational Formulation of Shallow Neural Networks2607.02003 · 2 Jul 2026
  45. Statistical Properties of $k$-means Clustering for Data Missing Completely at Random2607.01945 · 2 Jul 2026
  46. An Additive MLP-GNN Framework for Characterizing Chemical and Structural Contributions to Aqueous Solubility2607.02212 · 2 Jul 2026
  47. Full Bayesian Reinforcement Learning via LF-IBIS2607.01741 · 2 Jul 2026
  48. Benign Overfitting Does Not Occur in Diffusion Models2607.02671 · 2 Jul 2026
  49. Cultural Bias Without a Cultural Self:A Disassociation Study of LLM's Persona and Bias2607.02368 · 2 Jul 2026
  50. Contaminated Multi-task Learning with Heterogeneity: Fundamental Limits and Optimal Algorithms2607.02681 · 2 Jul 2026
  51. Prediction Sets for Counterfactual Decisions: Coverage, Optimality, and Conformal Prediction2607.02206 · 2 Jul 2026
  52. Denoised Conformal Alignment for Reliable Selection of Conditional Average Treatment Effect Predictions2607.03161 · 3 Jul 2026
  53. A Hierarchy of Policy Learning Problems2607.03385 · 3 Jul 2026
  54. Missing Data Imputation under Manifold Hypothesis2607.03641 · 3 Jul 2026
  55. Sequential Correlations Change In-Context Learning: Effective Context Length and Architectural Mismatch2607.03660 · 4 Jul 2026
  56. On Pairwise Quantile Regression - Statistical Guarantees and Applications2607.04431 · 5 Jul 2026
  57. Tightening the Score Matching Gap for Diffusion Models2607.04442 · 5 Jul 2026
  58. Optimal Mixture-of-Experts Model Averaging for Conditional Generative Models2607.04360 · 5 Jul 2026
  59. Fixed-Confidence Best-Arm Identification for Causal Mediation Analysis2607.04315 · 5 Jul 2026
  60. Robust Bayes-Assisted Conformal Prediction2607.04236 · 5 Jul 2026
  61. Causal ASCEND: Scalable Two-tier Causal Discovery on High Dimensional Multi-omics Data2607.04527 · 5 Jul 2026
  62. Wasserstein Residuals: Learning Gradient Flows from Population Dynamics2607.04738 · 6 Jul 2026
  63. Higher-Order Certified Robustness for Regression2607.05536 · 6 Jul 2026
  64. Non-Asymptotic Error Bounds for SMC with Biased Proposals: Application to Conditional Diffusion Sampling2607.04780 · 6 Jul 2026
  65. msPCA: An R Package for Sparse PCA with Multiple Components2607.05229 · 6 Jul 2026
  66. Non-asymptotic Convergence of Stochastic Gradient Descent in Score-based Generative Models2607.04775 · 6 Jul 2026
  67. Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity2607.05546 · 6 Jul 2026
  68. Geometric Causal Models2607.05153 · 6 Jul 2026
  69. Context-Constrained Transfer Learning for Tabular Foundation Models via Data Distillation2607.04809 · 6 Jul 2026
  70. Beyond Heuristic Tuning: Power-Calibrated LLM Watermarking2607.05694 · 6 Jul 2026
  71. Decomposition for Bayesian Networks: Local and Parallel Inference2607.04650 · 6 Jul 2026
  72. Fitted Occupancy-Ratio Evaluation without Bellman Completeness2607.05375 · 6 Jul 2026
  73. Integrating Neural Encoders in Bayesian Generalized Linear Mixed Models for Multimodal Data2607.04647 · 6 Jul 2026
  74. Locally Private Online Quantile Regression: Estimation and Inference2607.05312 · 6 Jul 2026
  75. To Retain or to Adapt? Generalizing Continual Learning2607.05609 · 6 Jul 2026
  76. Heat-Kernel Entropy Profiles and Geometric Effective Sample Size for Weighted Measures on Manifolds2607.06696 · 7 Jul 2026
  77. On the convergence of graph Laplacians with a symmetric divergence2607.05892 · 7 Jul 2026
  78. Tensor Train Diffusion: Leveraging Low-Rank Structures for High-Dimensional Score-Based Sampling2607.06841 · 7 Jul 2026
  79. Separation Capacity of Scattering Networks on Low-Dimensional Datasets2607.06048 · 7 Jul 2026
  80. Width-Robust Learnability in Mean-Field Bayesian Neural Networks2607.05735 · 7 Jul 2026
  81. The Regularization Parameter: Sparse Precision Matrix Estimation2607.07735 · 7 Jul 2026
  82. A Function-Space Dichotomy for Compositional Learning: Exponential Sub-Optimality of the Neural Tangent Kernel2607.06382 · 7 Jul 2026
  83. A Convex Approximation Framework for Neural Likelihood-Based Bayesian Inverse Problems2607.06252 · 7 Jul 2026
  84. EHR-MPC: Inference-Time Control for Sepsis Treatment with Generative Patient Digital Twins2607.08793 · 7 Jul 2026
  85. Boosting with List-Decodable Codes2607.05791 · 7 Jul 2026
  86. Fast determinantal sampling on general spaces and diffusion geometry2607.06644 · 7 Jul 2026
  87. Tensorized algorithms and scalable filtering methods for hidden Markov and factorial hidden Markov models2607.07008 · 8 Jul 2026
  88. A Unified Detection Framework for AI-Related Content and Artifacts2607.07527 · 8 Jul 2026
  89. Distributionally Faithful Imputation via Positive Semi-Definite Kernel Density Estimation2607.07767 · 8 Jul 2026
  90. Expressivity and Statistical Trade-offs in Diffusion Policy Learning2607.07967 · 8 Jul 2026
  91. Finding a stationary point of a stochastic convex problem2607.06883 · 8 Jul 2026
  92. DiPhon: Diffusion on Graphons for Scalable Graph Generation2607.07232 · 8 Jul 2026
  93. Statistical inverse learning and $\ell^1$-regularization2607.07468 · 8 Jul 2026
  94. Statistical Efficiency and Inference of Quantile Distributional Reinforcement Learning2607.08444 · 9 Jul 2026
  95. Bayesian Experimental Design via Score Matching2607.08335 · 9 Jul 2026
  96. Score Accuracy Along the Forward Diffusion Does Not Certify Numerical Stability in Diffusion Sampling2607.08757 · 9 Jul 2026
  97. Prediction-Powered Active Testing2607.08347 · 9 Jul 2026
  98. High-Dimensional Procrustes Matching via Tree Counts2607.08538 · 9 Jul 2026
  99. Manifold Constrained Conformal Prediction for Spatial Events2607.10008 · 10 Jul 2026
  100. Influence Diagnostics in High-dimensional M-estimation: Precise Asymptotics2607.09250 · 10 Jul 2026