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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. Position: There Is No Free Bayesian Uncertainty Quantification2506.03670 · 4 Jun 2025
  2. On the Fundamental Impossibility of Hallucination Control in Large Language Models2506.06382 · 4 Jun 2025
  3. On the Wasserstein Geodesic Principal Component Analysis of probability measures2506.04480 · 4 Jun 2025
  4. Causal Effect Identification in lvLiNGAM from Higher-Order Cumulants2506.05202 · 5 Jun 2025
  5. Learning Joint Interventional Effects from Single-Variable Interventions in Additive Models2506.04945 · 5 Jun 2025
  6. Online Conformal Model Selection for Nonstationary Time Series2506.05544 · 5 Jun 2025
  7. Nonlinear Causal Discovery through a Sequential Edge Orientation Approach2506.05590 · 5 Jun 2025
  8. Distributional encoding for Gaussian process regression with qualitative inputs2506.04813 · 5 Jun 2025
  9. Regret-Optimal Q-Learning with Low Cost for Single-Agent and Federated Reinforcement Learning2506.04626 · 5 Jun 2025
  10. Admissibility of Completely Randomized Trials: A Large-Deviation Approach2506.05329 · 5 Jun 2025
  11. Nonlinear Causal Discovery for Grouped Data2506.05120 · 5 Jun 2025
  12. Differentiable neural network representation of multi-well, locally-convex potentials2506.17242 · 6 Jun 2025
  13. Multilevel neural simulation-based inference2506.06087 · 6 Jun 2025
  14. Direct Fisher Score Estimation for Likelihood Maximization2506.06542 · 6 Jun 2025
  15. A Statistical Framework for Model Selection in LSTM Networks2506.06840 · 7 Jun 2025
  16. The Currents of Conflict: Decomposing Conflict Trends with Gaussian Processes2506.06828 · 7 Jun 2025
  17. Robust Learnability of Sample-Compressible Distributions under Noisy or Adversarial Perturbations2506.06613 · 7 Jun 2025
  18. Continuous Semi-Implicit Models2506.06778 · 7 Jun 2025
  19. ALINE: Joint Amortization for Bayesian Inference and Active Data Acquisition2506.07259 · 8 Jun 2025
  20. Half-AVAE: Adversarial-Enhanced Factorized and Structured Encoder-Free VAE for Underdetermined Independent Component Analysis2506.07011 · 8 Jun 2025
  21. Physics-Informed Teleconnection-Aware Transformer for Global Subseasonal-to-Seasonal Forecasting2506.08049 · 8 Jun 2025
  22. Quantile-Optimal Policy Learning under Unmeasured Confounding2506.07140 · 8 Jun 2025
  23. Mirror Descent Using the Tempesta Generalized Multi-parametric Logarithms2506.13984 · 8 Jun 2025
  24. Quickest Causal Change Point Detection by Adaptive Intervention2506.07760 · 9 Jun 2025
  25. Representative, Informative, and De-Amplifying: Requirements for Robust Bayesian Active Learning under Model Misspecification2506.07805 · 9 Jun 2025
  26. Constrained Pareto Set Identification with Bandit Feedback2506.08127 · 9 Jun 2025
  27. WWAggr: A Window Wasserstein-based Aggregation for Ensemble Change Point Detection2506.08066 · 9 Jun 2025
  28. Accelerating Constrained Sampling: A Large Deviations Approach2506.07816 · 9 Jun 2025
  29. Rao-Blackwellised Reparameterisation Gradients2506.07687 · 9 Jun 2025
  30. Asymptotic Normality of Infinite Centered Random Forests -Application to Imbalanced Classification2506.08548 · 10 Jun 2025
  31. Flexible and Efficient Drift Detection without Labels2506.08734 · 10 Jun 2025
  32. Model-Free Kernel Conformal Depth Measures Algorithm for Uncertainty Quantification in Regression Models in Separable Hilbert Spaces2506.08325 · 10 Jun 2025
  33. Evasion Attacks Against Bayesian Predictive Models2506.09640 · 11 Jun 2025
  34. Assessing the Quality of Denoising Diffusion Models in Wasserstein Distance: Noisy Score and Optimal Bounds2506.09681 · 11 Jun 2025
  35. Scaling Laws for Uncertainty in Deep Learning2506.09648 · 11 Jun 2025
  36. Attention-Bayesian Hybrid Approach to Modular Multiple Particle Tracking2506.09441 · 11 Jun 2025
  37. Know What You Don't Know: Uncertainty Calibration of Process Reward Models2506.09338 · 11 Jun 2025
  38. Fundamental Limits of Learning High-dimensional Simplices in Noisy Regimes2506.10101 · 11 Jun 2025
  39. Momentum Multi-Marginal Schrödinger Bridge Matching2506.10168 · 11 Jun 2025
  40. A Deep Generative Model for the Simulation of Discrete Karst Networks2506.09832 · 11 Jun 2025
  41. LLM-Powered CPI Prediction Inference with Online Text Time Series2506.09516 · 11 Jun 2025
  42. Exploiting Similarities in A/B Testing with Off-Policy Estimation2506.10677 · 12 Jun 2025
  43. Collaborative Prediction: To Join or To Disjoin Datasets2506.11271 · 12 Jun 2025
  44. What Exactly Does Guidance Do in Masked Discrete Diffusion Models2506.10971 · 12 Jun 2025
  45. Distributionally-Constrained Adversaries in Online Learning2506.10293 · 12 Jun 2025
  46. Measuring Semantic Information Production in Generative Diffusion Models2506.10433 · 12 Jun 2025
  47. Demystifying Spectral Feature Learning for Instrumental Variable Regression2506.10899 · 12 Jun 2025
  48. Sequential Off-Policy Learning with Logarithmic Smoothing2506.10664 · 12 Jun 2025
  49. Probability Bounding: Post-Hoc Calibration via Box-Constrained Softmax2506.10572 · 12 Jun 2025
  50. Probably Approximately Correct Labels2506.10908 · 12 Jun 2025
  51. Bayesian Optimization with Inexact Acquisition: Is Random Grid Search Sufficient?2506.11831 · 13 Jun 2025
  52. On the performance of multi-fidelity and reduced-dimensional neural emulators for inference of physiological boundary conditions2506.11683 · 13 Jun 2025
  53. Spectral Estimation with Free Decompression2506.11994 · 13 Jun 2025
  54. Temporal cross-validation impacts multivariate time series subsequence anomaly detection evaluation2506.12183 · 13 Jun 2025
  55. How do Probabilistic Graphical Models and Graph Neural Networks Look at Network Data?2506.11869 · 13 Jun 2025
  56. Learning Overspecified Gaussian Mixtures Exponentially Fast with the EM Algorithm2506.11850 · 13 Jun 2025
  57. Fast Bayesian Optimization of Function Networks with Partial Evaluations2506.11456 · 13 Jun 2025
  58. Using Deep Operators to Create Spatio-temporal Surrogates for Dynamical Systems under Uncertainty2506.11761 · 13 Jun 2025
  59. A Transfer Learning Framework for Multilayer Networks via Model Averaging2506.12455 · 14 Jun 2025
  60. On the existence of consistent adversarial attacks in high-dimensional linear classification2506.12454 · 14 Jun 2025
  61. Theoretical Tensions in RLHF: Reconciling Empirical Success with Inconsistencies in Social Choice Theory2506.12350 · 14 Jun 2025
  62. Variational Learning Finds Flatter Solutions at the Edge of Stability2506.12903 · 15 Jun 2025
  63. General and Estimable Learning Bound Unifying Covariate and Concept Shifts2506.12829 · 15 Jun 2025
  64. Dependent Randomized Rounding for Budget Constrained Experimental Design2506.12677 · 15 Jun 2025
  65. Single Index Bandits: Generalized Linear Contextual Bandits with Unknown Reward Functions2506.12751 · 15 Jun 2025
  66. Fair Bayesian Model-Based Clustering2506.12839 · 15 Jun 2025
  67. Bridging Unsupervised and Semi-Supervised Anomaly Detection: A Theoretically-Grounded and Practical Framework with Synthetic Anomalies2506.13955 · 16 Jun 2025
  68. Rademacher learning rates for iterated random functions2506.13946 · 16 Jun 2025
  69. Meta Optimality for Demographic Parity Constrained Regression via Post-Processing2506.13947 · 16 Jun 2025
  70. Exploiting the Exact Denoising Posterior Score in Training-Free Guidance of Diffusion Models2506.13614 · 16 Jun 2025
  71. Variational Inference with Mixtures of Isotropic Gaussians2506.13613 · 16 Jun 2025
  72. Understanding Learning Invariance in Deep Linear Networks2506.13714 · 16 Jun 2025
  73. Beyond Shapley Values: Cooperative Games for the Interpretation of Machine Learning Models2506.13900 · 16 Jun 2025
  74. Experimental Design for Semiparametric Bandits2506.13390 · 16 Jun 2025
  75. Estimation of Treatment Effects in Extreme and Unobserved Data2506.14051 · 16 Jun 2025
  76. Adversarial Disentanglement by Backpropagation with Physics-Informed Variational Autoencoder2506.13658 · 16 Jun 2025
  77. Random Matrix Theory for Deep Learning: Beyond Eigenvalues of Linear Models2506.13139 · 16 Jun 2025
  78. Uniform Mean Estimation for Heavy-Tailed Distributions via Median-of-Means2506.14673 · 17 Jun 2025
  79. Sampling conditioned diffusions via Pathspace Projected Monte Carlo2506.15743 · 17 Jun 2025
  80. Optimal Convergence Rates of Deep Neural Network Classifiers2506.14899 · 17 Jun 2025
  81. Sharp Generalization Bounds for Foundation Models with Asymmetric Randomized Low-Rank Adapters2506.14530 · 17 Jun 2025
  82. Universal rates of ERM for agnostic learning2506.14110 · 17 Jun 2025
  83. Adaptive Data Augmentation for Thompson Sampling2506.14479 · 17 Jun 2025
  84. Double Machine Learning for Conditional Moment Restrictions: IV Regression, Proximal Causal Learning and Beyond2506.14950 · 17 Jun 2025
  85. Adjustment for Confounding using Pre-Trained Representations2506.14329 · 17 Jun 2025
  86. An Observation on Lloyd's k-Means Algorithm in High Dimensions2506.14952 · 17 Jun 2025
  87. Performative Validity of Recourse Explanations2506.15366 · 18 Jun 2025
  88. From Local Interactions to Global Operators: Scalable Gaussian Process Operator for Physical Systems2506.15906 · 18 Jun 2025
  89. Time-dependent density estimation using binary classifiers2506.15505 · 18 Jun 2025
  90. Revisiting Randomization in Greedy Model Search2506.15643 · 18 Jun 2025
  91. Random feature approximation for general spectral methods2506.16283 · 19 Jun 2025
  92. CP$^2$: Leveraging Geometry for Conformal Prediction via Canonicalization2506.16189 · 19 Jun 2025
  93. The Condition Number as a Scale-Invariant Proxy for Information Encoding in Neural Units2506.16289 · 19 Jun 2025
  94. Diffusion-Based Hypothesis Testing and Change-Point Detection2506.16089 · 19 Jun 2025
  95. Latent Noise Injection for Private and Statistically Aligned Synthetic Data Generation2506.16636 · 19 Jun 2025
  96. Identifying Heterogeneity in Distributed Learning2506.16394 · 19 Jun 2025
  97. On Continuous Monitoring of Risk Violations under Unknown Shift2506.16416 · 19 Jun 2025
  98. Gaussian Processes and Reproducing Kernel Hilbert Spaces: Connections and Equivalences2506.17366 · 20 Jun 2025
  99. Schrödinger Bridge Matching for Tree-Structured Costs and Entropic Wasserstein Barycentres2506.17197 · 20 Jun 2025
  100. Derandomizing Simultaneous Confidence Regions for Band-Limited Functions by Improved Norm Bounds and Majority-Voting Schemes2506.17764 · 21 Jun 2025