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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. Semi-parametric Functional Classification via Path Signatures Logistic Regression with Adaptive Order Selection2507.06637 · 9 Jul 2025
  2. Conformal Prediction for Long-Tailed Classification2507.06867 · 9 Jul 2025
  3. Bayesian Double Descent2507.07338 · 9 Jul 2025
  4. Class conditional conformal prediction for multiple inputs by p-value aggregation2507.07150 · 9 Jul 2025
  5. A Projection-Based ARIMA Framework for Nonlinear Dynamics in Macroeconomic and Financial Time Series: Closed-Form Estimation and Rolling-Window Inference2507.07469 · 10 Jul 2025
  6. A Unified Empirical Risk Minimization Framework for Flexible N-Tuples Weak Supervision2507.07771 · 10 Jul 2025
  7. CLEAR: Calibrated Learning for Epistemic and Aleatoric Risk2507.08150 · 10 Jul 2025
  8. Mallows Model with Learned Distance Metrics: Sampling and Maximum Likelihood Estimation2507.08108 · 10 Jul 2025
  9. Hess-MC2: Sequential Monte Carlo Squared using Hessian Information and Second Order Proposals2507.07461 · 10 Jul 2025
  10. Admissibility of Stein Shrinkage for Batch Normalization in the Presence of Adversarial Attacks2507.08261 · 11 Jul 2025
  11. Optimal and Practical Batched Linear Bandit Algorithm2507.08438 · 11 Jul 2025
  12. Fixed-Confidence Multiple Change Point Identification under Bandit Feedback2507.08994 · 11 Jul 2025
  13. Data Depth as a Risk2507.08518 · 11 Jul 2025
  14. Physics-informed machine learning: A mathematical framework with applications to time series forecasting2507.08906 · 11 Jul 2025
  15. MIRRAMS: Learning Robust Tabular Models under Unseen Missingness Shifts2507.08280 · 11 Jul 2025
  16. The Bayesian Approach to Continual Learning: An Overview2507.08922 · 11 Jul 2025
  17. CoVAE: Consistency Training of Variational Autoencoders2507.09103 · 12 Jul 2025
  18. A Randomized Algorithm for Sparse PCA based on the Basic SDP Relaxation2507.09148 · 12 Jul 2025
  19. Uncovering symmetric and asymmetric species associations from community and environmental data2507.09317 · 12 Jul 2025
  20. Sharp High-Probability Rates for Nonlinear SGD under Heavy-Tailed Noise via Symmetrization2507.09093 · 12 Jul 2025
  21. A Generalization Theory for Zero-Shot Prediction2507.09128 · 12 Jul 2025
  22. An Algorithm for Identifying Interpretable Subgroups With Elevated Treatment Effects2507.09494 · 13 Jul 2025
  23. Regret Analysis of Posterior Sampling-Based Expected Improvement for Bayesian Optimization2507.09828 · 13 Jul 2025
  24. Signed Graph Learning: Algorithms and Theory2507.09717 · 13 Jul 2025
  25. Discovering Governing Equations in the Presence of Uncertainty2507.09740 · 13 Jul 2025
  26. TaylorPODA: A Taylor Expansion-Based Method to Improve Post-Hoc Attributions for Opaque Models2507.10643 · 14 Jul 2025
  27. MF-GLaM: A multifidelity stochastic emulator using generalized lambda models2507.10303 · 14 Jul 2025
  28. Simulating Biases for Interpretable Fairness in Offline and Online Classifiers2507.10154 · 14 Jul 2025
  29. Robust Multi-Manifold Clustering via Simplex Paths2507.10710 · 14 Jul 2025
  30. LLMs are Bayesian, In Expectation, Not in Realization2507.11768 · 15 Jul 2025
  31. Canonical Bayesian Linear System Identification2507.11535 · 15 Jul 2025
  32. How does Labeling Error Impact Contrastive Learning? A Perspective from Data Dimensionality Reduction2507.11161 · 15 Jul 2025
  33. Interpretable Bayesian Tensor Network Kernel Machines with Automatic Rank and Feature Selection2507.11136 · 15 Jul 2025
  34. From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies2507.11381 · 15 Jul 2025
  35. Joint space-time wind field data extrapolation and uncertainty quantification using nonparametric Bayesian dictionary learning2507.11385 · 15 Jul 2025
  36. GOLFS: Feature Selection via Combining Both Global and Local Information for High Dimensional Clustering2507.10956 · 15 Jul 2025
  37. Newfluence: Boosting Model interpretability and Understanding in High Dimensions2507.11895 · 16 Jul 2025
  38. Incorporating Fairness Constraints into Archetypal Analysis2507.12021 · 16 Jul 2025
  39. Choosing the Better Bandit Algorithm under Data Sharing: When Do A/B Experiments Work?2507.11891 · 16 Jul 2025
  40. Physics constrained learning of stochastic characteristics2507.12661 · 16 Jul 2025
  41. Finite-Dimensional Gaussian Approximation for Deep Neural Networks: Universality in Random Weights2507.12686 · 16 Jul 2025
  42. Self Balancing Neural Network: A Novel Method to Estimate Average Treatment Effect2507.12818 · 17 Jul 2025
  43. Relation-Aware Slicing in Cross-Domain Alignment2507.13194 · 17 Jul 2025
  44. Generative AI Models for Learning Flow Maps of Stochastic Dynamical Systems in Bounded Domains2507.15990 · 17 Jul 2025
  45. When Pattern-by-Pattern Works: Theoretical and Empirical Insights for Logistic Models with Missing Values2507.13024 · 17 Jul 2025
  46. A Survey of Dimension Estimation Methods2507.13887 · 18 Jul 2025
  47. Conformal Data Contamination Tests for Trading or Sharing of Data2507.13835 · 18 Jul 2025
  48. Step-DAD: Semi-Amortized Policy-Based Bayesian Experimental Design2507.14057 · 18 Jul 2025
  49. Conformalized Regression for Continuous Bounded Outcomes2507.14023 · 18 Jul 2025
  50. Differential Privacy in Kernelized Contextual Bandits via Random Projections2507.13639 · 18 Jul 2025
  51. Deep Learning-Based Survival Analysis with Copula-Based Activation Functions for Multivariate Response Prediction2507.14641 · 19 Jul 2025
  52. Diffusion Models for Time Series Forecasting: A Survey2507.14507 · 19 Jul 2025
  53. When few labeled target data suffice: a theory of semi-supervised domain adaptation via fine-tuning from multiple adaptive starts2507.14661 · 19 Jul 2025
  54. Accelerating Hamiltonian Monte Carlo for Bayesian Inference in Neural Networks and Neural Operators2507.14652 · 19 Jul 2025
  55. Statistical and Algorithmic Foundations of Reinforcement Learning2507.14444 · 19 Jul 2025
  56. Uncertainty Quantification for Machine Learning-Based Prediction: A Polynomial Chaos Expansion Approach for Joint Model and Input Uncertainty Propagation2507.14782 · 20 Jul 2025
  57. Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies2507.14901 · 20 Jul 2025
  58. Learning under Latent Group Sparsity via Diffusion on Networks2507.15097 · 20 Jul 2025
  59. Hypergraphs on high dimensional time series sets using signature transform2507.15802 · 21 Jul 2025
  60. Missing value imputation with adversarial random forests -- MissARF2507.15681 · 21 Jul 2025
  61. Accelerated Bayesian Optimal Experimental Design via Conditional Density Estimation and Informative Data2507.15235 · 21 Jul 2025
  62. Conformal and kNN Predictive Uncertainty Quantification Algorithms in Metric Spaces2507.15741 · 21 Jul 2025
  63. Structural DID with ML: Theory, Simulation, and a Roadmap for Applied Research2507.15899 · 21 Jul 2025
  64. Conformal C2ST: Turning weak classifiers into strong two-sample tests2507.17026 · 22 Jul 2025
  65. Structural Effect and Spectral Enhancement of High-Dimensional Regularized Linear Discriminant Analysis2507.16682 · 22 Jul 2025
  66. Bayesian symbolic regression: Automated equation discovery from a physicists' perspective2507.19540 · 22 Jul 2025
  67. Bayesian preference elicitation for decision support in multiobjective optimization2507.16999 · 22 Jul 2025
  68. Fundamental limits of distributed covariance matrix estimation via a conditional strong data processing inequality2507.16953 · 22 Jul 2025
  69. Estimating Treatment Effects with Independent Component Analysis2507.16467 · 22 Jul 2025
  70. PAC Off-Policy Prediction of Contextual Bandits2507.16236 · 22 Jul 2025
  71. CoLT: The conditional localization test for assessing the accuracy of neural posterior estimates2507.17030 · 22 Jul 2025
  72. Sequential Bayesian Design for Efficient Surrogate Construction in the Inversion of Darcy Flows2507.17713 · 23 Jul 2025
  73. Nearly Minimax Discrete Distribution Estimation in Kullback-Leibler Divergence with High Probability2507.17316 · 23 Jul 2025
  74. Debiased maximum-likelihood estimators for hazard ratios under kernel-based machine-learning adjustment2507.17686 · 23 Jul 2025
  75. Sliding Window Informative Canonical Correlation Analysis2507.17921 · 23 Jul 2025
  76. Optimal differentially private kernel learning with random projection2507.17544 · 23 Jul 2025
  77. To Trust or Not to Trust: On Calibration in ML-based Resource Allocation for Wireless Networks2507.17494 · 23 Jul 2025
  78. Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise2507.18520 · 24 Jul 2025
  79. DriftMoE: A Mixture of Experts Approach to Handle Concept Drifts2507.18464 · 24 Jul 2025
  80. Learning graphons from data: Random walks, transfer operators, and spectral clustering2507.18147 · 24 Jul 2025
  81. A Two-armed Bandit Framework for A/B Testing2507.18118 · 24 Jul 2025
  82. Central limit theorems for the eigenvalues of graph Laplacians on data clouds2507.18803 · 24 Jul 2025
  83. On Reconstructing Training Data From Bayesian Posteriors and Trained Models2507.18372 · 24 Jul 2025
  84. Adaptive Bayesian Data-Driven Design of Reliable Solder Joints for Micro-electronic Devices2507.19663 · 25 Jul 2025
  85. Probably Approximately Correct Causal Discovery2507.18903 · 25 Jul 2025
  86. Perfect Clustering in Very Sparse Diverse Multiplex Networks2507.19423 · 25 Jul 2025
  87. Modeling Parkinson's Disease Progression Using Longitudinal Voice Biomarkers: A Comparative Study of Statistical and Neural Mixed-Effects Models2507.20058 · 26 Jul 2025
  88. Sparse-mode Dynamic Mode Decomposition for Disambiguating Local and Global Structures2507.19787 · 26 Jul 2025
  89. Bag of Coins: A Statistical Probe into Neural Confidence Structures2507.19774 · 26 Jul 2025
  90. Multivariate Standardized Residuals for Conformal Prediction2507.20941 · 28 Jul 2025
  91. Locally Adaptive Conformal Inference for Operator Models2507.20975 · 28 Jul 2025
  92. Graph neural networks for residential location choice: connection to classical logit models2507.21334 · 28 Jul 2025
  93. Statistical Inference for Differentially Private Stochastic Gradient Descent2507.20560 · 28 Jul 2025
  94. Posterior Bayesian Neural Networks with Dependent Weights2507.22095 · 29 Jul 2025
  95. Stacked SVD or SVD stacked? A Random Matrix Theory perspective on data integration2507.22170 · 29 Jul 2025
  96. An Equal-Probability Partition of the Sample Space: A Non-parametric Inference from Finite Samples2507.21712 · 29 Jul 2025
  97. MIBoost: A gradient boosting algorithm for variable selection after multiple imputation2507.21807 · 29 Jul 2025
  98. From Sublinear to Linear: Local Convergence in Finite-Width Networks via Locally Polyak-Lojasiewicz Regions2507.21429 · 29 Jul 2025
  99. From Global to Local: A Scalable Benchmark for Local Posterior Sampling2507.21449 · 29 Jul 2025
  100. Stochastic forest transition model dynamics and parameter estimation via deep learning2507.21486 · 29 Jul 2025