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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. Prediction-Powered Causal Inference by Automatic Debiased Machine Learning and Semi-Supervised Riesz Regression2606.12892 · 11 Jun 2026
  2. Recursively Trained Diffusion Models: Limiting Collapse Distribution and Spectral Characterization2606.13796 · 11 Jun 2026
  3. ProtoX-AD: Self-Explainable Time Series Anomaly Detection and Characterization2606.13277 · 11 Jun 2026
  4. Beyond Importance: Interchange-Sobol Sensitivity Reveals Task-Specific Content Channels in Transformer Components2606.20678 · 12 Jun 2026
  5. Geometric Domain Adaptation via Optimal Transport for Linear Regression in R^22606.14023 · 12 Jun 2026
  6. Beyond the Training Distribution: Evaluating Predictions Under Distribution Shift and Selection Bias2606.14506 · 12 Jun 2026
  7. Gradient boosting for extremes: sampling theory and application to insurance2606.14268 · 12 Jun 2026
  8. Adaptive Nucleus Truncation for Long-Form Reasoning2606.13982 · 12 Jun 2026
  9. Hybrid Uncertainty Sensitivity Analysis Based on the HSIC for High-Dimensional Responses with Aleatory--Epistemic Separation2606.14053 · 12 Jun 2026
  10. Anytime-Valid Confirmation of Label-Shift Corrections2606.14028 · 12 Jun 2026
  11. Audited Conformal Prediction for Classification under Unknown Distribution Shift2606.14909 · 12 Jun 2026
  12. Nonlocal Bayesian Modeling of Continuous Spatio-Temporal Dynamics2606.14313 · 12 Jun 2026
  13. A Bregman Perspective on Classification and Regression Trees2606.13984 · 12 Jun 2026
  14. Cluster LOCO: Feature Importance For Interpreting Clusters2606.14592 · 12 Jun 2026
  15. Structured Nonparametric Variational Inference for Dependent Latent Modeling2606.15458 · 13 Jun 2026
  16. Conformal Candidate Certification for Offline Model-Based Optimization2606.15217 · 13 Jun 2026
  17. Finite Resources False Discovery Rate Control in Structured Hypothesis Spaces2606.15393 · 13 Jun 2026
  18. The Reverse Telescoping Coordinate System for Positive Definite Matrices: Geometry, Computation, and Generative Modeling2606.15442 · 13 Jun 2026
  19. Ricci-Filtration: Boosting Retrieval-Augmented Generation Reranker to Query-Answer Tasks by Discrete Ricci Flow2606.15482 · 13 Jun 2026
  20. Phase Transition in Convex Relaxations for Graph Alignment2606.15581 · 14 Jun 2026
  21. Spectral Adaptive Conformal Prediction for Structured Non-Exchangeable Data2606.15950 · 14 Jun 2026
  22. PromptShift-CRC: Drift-Aware Conformal Risk Control for Foundation Models Under Prompt and Domain Shift2606.15964 · 14 Jun 2026
  23. Stochastic trace estimation with tensor train random vectors2606.15679 · 14 Jun 2026
  24. Information Gap and Feasibility-Aware Inference in Binomial Logistic Mixtures2606.15665 · 14 Jun 2026
  25. Dynestyx: A Probabilistic Programming Library for Dynamical Systems2606.16985 · 15 Jun 2026
  26. Another Look at Log-PCA for Probability Measures: A Dynamical Formulation and Statistical Convergence2606.17196 · 15 Jun 2026
  27. Generative Modeling on Metric Graphs via Neural Optimal Transport2606.16273 · 15 Jun 2026
  28. A nonparametric two-sample test using a parametric integral probability metric2606.16941 · 15 Jun 2026
  29. Tight $L_\infty$ Sample Complexity for Low-Degree and Sparse Boolean Polynomials2606.17319 · 15 Jun 2026
  30. Diffusion Flow Matching: Dimension-Improved KL Bounds and Wasserstein Guarantees2606.16610 · 15 Jun 2026
  31. Attention is Just Another Name for Coupling? A Fast-Slow ODE Perspective on Hierarchical Pretraining2606.16730 · 15 Jun 2026
  32. Sobolev Approximation by Fixed-Size Neural Networks with Arbitrary Accuracy2606.16975 · 15 Jun 2026
  33. Closing the Approximation Gap in Simulation-free Latent SDEs2606.16138 · 15 Jun 2026
  34. Generalized Neural Distributional Regression2607.14122 · 16 Jun 2026
  35. Fast Nonparametric Conditional Independence Testing via Two-Stage Regression2606.18011 · 16 Jun 2026
  36. Geometrical fairness in graph neural networks2606.17684 · 16 Jun 2026
  37. Toward Simultaneously Optimal Regret in U-Calibration2606.18527 · 16 Jun 2026
  38. Compact Geometric Representations of Hierarchies2606.18520 · 16 Jun 2026
  39. Tensor-based second-order causal discovery2606.18074 · 16 Jun 2026
  40. Differential Privacy of Gaussian Process Posterior Sampling2606.17995 · 16 Jun 2026
  41. A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise2606.18183 · 16 Jun 2026
  42. A Bayesian Boolean Matrix Factorization with Application to Copy Number Analysis in Cancer2606.17491 · 16 Jun 2026
  43. ToolChain-CRC: Conformal Risk Control for Agentic AI Under Retrieval and Tool-Use Drift2606.18467 · 16 Jun 2026
  44. Pointwise is Pointless? A Multimodal Ablation Study for Precipitation Nowcasting with Graph Neural Networks2606.18436 · 16 Jun 2026
  45. Bounded Difference Concentration for Infinitely Exchangeable Sequences with Applications to AI Benchmark Uncertainty2606.17426 · 16 Jun 2026
  46. When Does Trajectory-Level Supervision Permit Efficient Offline Reinforcement Learning?2606.18531 · 16 Jun 2026
  47. Variational Consensus Monte Carlo for Bayesian Mixture2606.19643 · 17 Jun 2026
  48. TimeLAVA: Learning-Agnostic Valuation for Time Series Data2606.18729 · 17 Jun 2026
  49. Cross-Calibrated Confidence Fields for Local Risk Updates2606.19147 · 17 Jun 2026
  50. Sequential Kernel-based Conditional Independence Testing via Adaptive Betting2606.18993 · 17 Jun 2026
  51. Quantifying and Auditing LLM Evaluation via Positive--Unlabeled Learning2606.19057 · 17 Jun 2026
  52. The Representational Limit of Scalar Interactions: An Interventional Decomposition2606.19410 · 17 Jun 2026
  53. Generalised Eigenvalue Geometry of Semantic Adversarial Attacks2606.19212 · 17 Jun 2026
  54. Bridging Data Gaps in Structural Fragility Modeling through Transfer Learning: Methodology and Case Studies2606.18567 · 17 Jun 2026
  55. FOSC-X: An Extended Framework for Optimal Local Cuts and Non-Horizontal Cluster Selection from Clustering Hierarchies2606.18972 · 17 Jun 2026
  56. Kernel of Partition Paths: A Unified Representation for Tree Ensembles2606.18853 · 17 Jun 2026
  57. A Solver-Free Training Method for Predict-then-Optimize2606.19587 · 17 Jun 2026
  58. Adversarial observations in probabilistic State-Space Models for robust Reinforcement Learning2606.20880 · 18 Jun 2026
  59. Betting on Moments: Legendre Jumper Martingales for Online Exchangeability Testing2606.20859 · 18 Jun 2026
  60. AK-MCS-C2 : Active Kriging Monte Carlo Simulation method with conformal certification for failure probability estimation2606.20191 · 18 Jun 2026
  61. AURA: Adaptive Uncertainty-aware Refinement for LLM-as-a-Judge Auditing2606.19714 · 18 Jun 2026
  62. SSH-Net: A Deep Neural Network for Predicting Failure Time Distribution Functions under Competing Risks with Application to GPU Data2606.20451 · 18 Jun 2026
  63. Statistical Properties of Training & Generalization2606.20299 · 18 Jun 2026
  64. Stochastic Linear Contextual Bandits with Bounded Noise: A Set-Membership Approach2606.20022 · 18 Jun 2026
  65. Off-Policy Evaluation for Missingness-Aware Policies in MDPs with Rewards Missing Not at Random2606.20206 · 18 Jun 2026
  66. Two Layers of Instability in Causal Estimation2606.21185 · 19 Jun 2026
  67. Finite-Sample Performance of Gradient Descent in Logistic Regression with Gaussian Design2606.21683 · 19 Jun 2026
  68. Subsampling for supervised learning in reproducing kernel Hilbert spaces2606.21260 · 19 Jun 2026
  69. Bayesian Model Averaging under Predictor Redundancy via Density-Ratio Posterior Compression2606.21080 · 19 Jun 2026
  70. When Kernel Ridge Regression Meets the Hölder-Zygmund Class: Minimax Optimality and Failure of Properness2607.26065 · 19 Jun 2026
  71. Diffusion-Driven State Space Models2606.21036 · 19 Jun 2026
  72. Orthogonal Discrepancy Kernels for Learning with Partial Physics2606.21199 · 19 Jun 2026
  73. Variance-Tilted Diffusion Models for Diverse Sampling2606.22239 · 20 Jun 2026
  74. Convergence Analysis of Nyström Subsampling in Covariate Shift Adaptation for Misspecified case2606.22259 · 20 Jun 2026
  75. Signed Evidence Flow: Conflict-Aware and Stability-Calibrated Data Analysis2606.21875 · 20 Jun 2026
  76. Robust Diffusion Models via Divergence-Induced Weighted Denoising2606.22521 · 21 Jun 2026
  77. Flow Annealing Posterior Sampling for Function-Space Regression and Inverse Problems2606.22346 · 21 Jun 2026
  78. Scalable Bayesian Additive Models for Stellar Flare Detection via Amortized Gaussian Process Inference and Hidden Markov Models2606.22601 · 21 Jun 2026
  79. Data Evolution by Wittgenstein's Rule Following2606.22674 · 21 Jun 2026
  80. Statistical Inference for Misspecified Contextual Bandits2606.22639 · 21 Jun 2026
  81. Null-Calibrated Conformal Selection via Target-Membership Scores2606.22336 · 21 Jun 2026
  82. Sublinearly Structured Deep Neural Networks Achieve Feature Learning Consistency for Compositional Functions2606.23477 · 22 Jun 2026
  83. Domain Adaptation Under Wireless Network Constraints: When Does It Become Green?2606.23047 · 22 Jun 2026
  84. Time Series Classification through Diffeomorphic Time Warping (DiffTW)2606.23472 · 22 Jun 2026
  85. FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data2606.23515 · 22 Jun 2026
  86. Neural Networks as Linear Regression: An Introduction for Statisticians2606.23601 · 22 Jun 2026
  87. Diffusion Models Adapt to Low-Dimensional Structure Under Flexible Coefficient Choices2606.23627 · 22 Jun 2026
  88. Action-BED: Task-Driven Bayesian Experimental Design with Singly Intractable Objectives2606.23662 · 22 Jun 2026
  89. Minimax PAC Bounds for Learning in Exogenous Contextual MDPs2606.25170 · 23 Jun 2026
  90. Automated Residual Plot Assessment With the R Package autovi and the Shiny Application autovi.web2606.24236 · 23 Jun 2026
  91. Model selection with proper scoring rules on data sets of time series: prefer the mean scaled score2606.24715 · 23 Jun 2026
  92. FedReLa: Imbalanced Federated Learning via Re-Labeling2606.26037 · 24 Jun 2026
  93. When Does Synthetic Data Augmentation Improve Score-Based Imbalanced Classification?2606.26053 · 24 Jun 2026
  94. Stabilizing black-box algorithms through task-oriented randomization2606.25269 · 24 Jun 2026
  95. The Role of Input Dimensionality in the Emergence and Targeted Control of Adversarial Examples2606.26207 · 24 Jun 2026
  96. Statistically Valid Hyperparameter Selection: From Tuning to Guarantees2606.25601 · 24 Jun 2026
  97. A probabilistic framework for online test-time adaptation2606.26457 · 24 Jun 2026
  98. Gaussian Mean Field Variational Inference can Overestimate Predictive Variance2606.25745 · 24 Jun 2026
  99. XMSE-Aware Adaptive Empirical Bayes Estimation2606.26975 · 25 Jun 2026
  100. The Decision Geometry of Covariance Estimation for the Global Minimum-Variance Portfolio under Heavy Tails2606.27462 · 25 Jun 2026