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Statistics, Machine Learning papers, 2024-10-01 to 2025-03-31

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
1,069
Collected
31 Aug 2026

Papers

  1. Dynamic Influence Tracker: Measuring Time-Varying Sample Influence During Training2502.10793 · 15 Feb 2025
  2. Generalized Factor Neural Network Model for High-dimensional Regression2502.11310 · 16 Feb 2025
  3. Distributional Autoencoders Know the Score2502.11583 · 17 Feb 2025
  4. Neural Guided Diffusion Bridges2502.11909 · 17 Feb 2025
  5. Low-Rank Thinning2502.12063 · 17 Feb 2025
  6. Private Synthetic Graph Generation and Fused Gromov-Wasserstein Distance2502.11778 · 17 Feb 2025
  7. Suboptimal Shapley Value Explanations2502.12209 · 17 Feb 2025
  8. Time-series attribution maps with regularized contrastive learning2502.12977 · 17 Feb 2025
  9. Refined PAC-Bayes Bounds for Offline Bandits2502.11953 · 17 Feb 2025
  10. A Variational Analysis of Kernel Learning with Learnable Linear Transformations2502.11665 · 17 Feb 2025
  11. Robust High-Dimensional Mean Estimation With Low Data Size, an Empirical Study2502.11324 · 17 Feb 2025
  12. All Models Are Miscalibrated, But Some Less So: Comparing Calibration with Conditional Mean Operators2502.11465 · 17 Feb 2025
  13. How Compositional Generalization and Creativity Improve as Diffusion Models are Trained2502.12089 · 17 Feb 2025
  14. JoLT: Joint Probabilistic Predictions on Tabular Data Using LLMs2502.11877 · 17 Feb 2025
  15. Deep Subspace Learning for Surface Anomaly Classification Based on 3D Point Cloud Data2502.11669 · 17 Feb 2025
  16. Federated Variational Inference for Bayesian Mixture Models2502.12684 · 18 Feb 2025
  17. Asymptotic Optimism of Random-Design Linear and Kernel Regression Models2502.12999 · 18 Feb 2025
  18. Conformal Inference under High-Dimensional Covariate Shifts via Likelihood-Ratio Regularization2502.13030 · 18 Feb 2025
  19. Unsupervised Anomaly Detection through Mass Repulsing Optimal Transport2502.12793 · 18 Feb 2025
  20. Task Shift: From Classification to Regression in Overparameterized Linear Models2502.13285 · 18 Feb 2025
  21. Generalized Kernel Inducing Points by Duality Gap for Dataset Distillation2502.12607 · 18 Feb 2025
  22. Composition and Control with Distilled Energy Diffusion Models and Sequential Monte Carlo2502.12786 · 18 Feb 2025
  23. A Neural Difference-of-Entropies Estimator for Mutual Information2502.13085 · 18 Feb 2025
  24. Green LIME: Improving AI Explainability through Design of Experiments2502.12753 · 18 Feb 2025
  25. Model selection for behavioral learning data and applications to contextual bandits2502.13186 · 18 Feb 2025
  26. Quantifying Statistical Significance of Deep Nearest Neighbor Anomaly Detection via Selective Inference2502.12978 · 18 Feb 2025
  27. The Majority Vote Paradigm Shift: When Popular Meets Optimal2502.12581 · 18 Feb 2025
  28. Multi-Objective Bayesian Optimization for Networked Black-Box Systems: A Path to Greener Profits and Smarter Designs2502.14121 · 19 Feb 2025
  29. Identifying Metric Structures of Deep Latent Variable Models2502.13757 · 19 Feb 2025
  30. New Lower Bounds for Stochastic Non-Convex Optimization through Divergence Decomposition2502.14060 · 19 Feb 2025
  31. Conformal Prediction under Levy-Prokhorov Distribution Shifts: Robustness to Local and Global Perturbations2502.14105 · 19 Feb 2025
  32. The Computational Advantage of Depth: Learning High-Dimensional Hierarchical Functions with Gradient Descent2502.13961 · 19 Feb 2025
  33. Graph Signal Inference by Learning Narrowband Spectral Kernels2502.13686 · 19 Feb 2025
  34. Uncertainty quantification for Markov chain induced martingales with application to temporal difference learning2502.13822 · 19 Feb 2025
  35. Towards a perturbation-based explanation for medical AI as differentiable programs2502.14001 · 19 Feb 2025
  36. A Scalable Nystrom-Based Kernel Two-Sample Test with Permutations2502.13570 · 19 Feb 2025
  37. Multi-Objective Causal Bayesian Optimization2502.14755 · 20 Feb 2025
  38. Prediction-Powered Adaptive Shrinkage Estimation2502.14166 · 20 Feb 2025
  39. How PC-based Methods Err: Towards Better Reporting of Assumption Violations and Small Sample Errors2502.14719 · 20 Feb 2025
  40. Robust Information Selection for Hypothesis Testing with Misclassification Penalties2502.14738 · 20 Feb 2025
  41. A Finite Sample Analysis of Distributional TD Learning with Linear Function Approximation2502.14172 · 20 Feb 2025
  42. Bringing Generative Learning to Representation Learning: Self-Supervised Transfer Learning as Distribution Matching2502.14424 · 20 Feb 2025
  43. Confidence Estimation via Sequential Likelihood Mixing2502.14689 · 20 Feb 2025
  44. Generalization Error of $f$-Divergence Stabilized Algorithms via Duality2502.14544 · 20 Feb 2025
  45. Policy-Oriented Binary Classification: Improving (KD-)CART Final Splits for Subpopulation Targeting2502.15072 · 20 Feb 2025
  46. Feature maps for the Laplacian kernel and its generalizations2502.15575 · 21 Feb 2025
  47. Exact Recovery of Sparse Binary Vectors from Generalized Linear Measurements2502.16008 · 21 Feb 2025
  48. Fréchet Cumulative Covariance Net for Deep Nonlinear Sufficient Dimension Reduction with Random Objects2502.15374 · 21 Feb 2025
  49. Variational phylogenetic inference with products over bipartitions2502.15110 · 21 Feb 2025
  50. Tensor Product Neural Networks for Functional ANOVA Model2502.15215 · 21 Feb 2025
  51. Generalization Guarantees for Representation Learning via Data-Dependent Gaussian Mixture Priors2502.15540 · 21 Feb 2025
  52. Jeffrey's update rule as a minimizer of Kullback-Leibler divergence2502.15504 · 21 Feb 2025
  53. Rectifying Conformity Scores for Better Conditional Coverage2502.16336 · 22 Feb 2025
  54. A Review of Causal Decision Making2502.16156 · 22 Feb 2025
  55. Statistical Inference in Reinforcement Learning: A Selective Survey2502.16195 · 22 Feb 2025
  56. Transfer Learning through Enhanced Sufficient Representation: Enriching Source Domain Knowledge with Target Data2502.20414 · 22 Feb 2025
  57. Subspace Recovery in Winsorized PCA: Insights into Accuracy and Robustness2502.16391 · 23 Feb 2025
  58. Variable transformations in consistent loss functions2502.16542 · 23 Feb 2025
  59. On Quantile Regression Forests for Modelling Mixed-Frequency and Longitudinal Data2502.17137 · 24 Feb 2025
  60. Your Assumed DAG is Wrong and Here's How To Deal With It2502.17030 · 24 Feb 2025
  61. A Refined Analysis of UCBVI2502.17370 · 24 Feb 2025
  62. Convergence of Shallow ReLU Networks on Weakly Interacting Data2502.16977 · 24 Feb 2025
  63. Function-Space Learning Rates2502.17405 · 24 Feb 2025
  64. When to Forget? Complexity Trade-offs in Machine Unlearning2502.17323 · 24 Feb 2025
  65. Random Projections and Natural Sparsity in Time-Series Classification: A Theoretical Analysis2502.17061 · 24 Feb 2025
  66. Differential privacy guarantees of Markov chain Monte Carlo algorithms2502.17150 · 24 Feb 2025
  67. Finite-Sample Analysis of Policy Evaluation for Robust Average Reward Reinforcement Learning2502.16816 · 24 Feb 2025
  68. Linear Bandits on Ellipsoids: Minimax Optimal Algorithms2502.17175 · 24 Feb 2025
  69. Provable Benefits of Unsupervised Pre-training and Transfer Learning via Single-Index Models2502.16849 · 24 Feb 2025
  70. An Overview of Large Language Models for Statisticians2502.17814 · 25 Feb 2025
  71. Are GNNs doomed by the topology of their input graph?2502.17739 · 25 Feb 2025
  72. Applications of Statistical Field Theory in Deep Learning2502.18553 · 25 Feb 2025
  73. Near-Optimal Approximations for Bayesian Inference in Function Space2502.18279 · 25 Feb 2025
  74. Conformal Prediction Under Generalized Covariate Shift with Posterior Drift2502.17744 · 25 Feb 2025
  75. Recursive Learning Without Collapse: A Weighting-Based Stabilization Framework2502.18049 · 25 Feb 2025
  76. Nested Expectations with Kernel Quadrature2502.18284 · 25 Feb 2025
  77. Learning and Computation of $Φ$-Equilibria at the Frontier of Tractability2502.18582 · 25 Feb 2025
  78. Nonlinear Sparse Generalized Canonical Correlation Analysis for Multi-view High-dimensional Data2502.18756 · 26 Feb 2025
  79. Forecasting intermittent time series with Gaussian Processes and Tweedie likelihood2502.19086 · 26 Feb 2025
  80. Overcoming Dependent Censoring in the Evaluation of Survival Models2502.19460 · 26 Feb 2025
  81. Advancing calibration for stochastic agent-based models in epidemiology with Stein variational inference and Gaussian process surrogates2502.19550 · 26 Feb 2025
  82. Enhancing Gradient-based Discrete Sampling via Parallel Tempering2502.19240 · 26 Feb 2025
  83. Asymptotics of Non-Convex Generalized Linear Models in High-Dimensions: A proof of the replica formula2502.20003 · 27 Feb 2025
  84. Fast Debiasing of the LASSO Estimator2502.19825 · 27 Feb 2025
  85. Multiple Linked Tensor Factorization2502.20286 · 27 Feb 2025
  86. Learning Dynamics of Deep Linear Networks Beyond the Edge of Stability2502.20531 · 27 Feb 2025
  87. Fast $\ell_1$-Regularized EEG Source Localization Using Variable Projection2502.20304 · 27 Feb 2025
  88. Efficient Risk-sensitive Planning via Entropic Risk Measures2502.20423 · 27 Feb 2025
  89. An interpretation of the Brownian bridge as a physics-informed prior for the Poisson equation2503.00213 · 28 Feb 2025
  90. Dynamical Decoupling of Generalization and Overfitting in Large Two-Layer Networks2502.21269 · 28 Feb 2025
  91. Post-Hoc Uncertainty Quantification in Pre-Trained Neural Networks via Activation-Level Gaussian Processes2502.20966 · 28 Feb 2025
  92. Amortized Conditional Independence Testing2502.20925 · 28 Feb 2025
  93. Prior shift estimation for positive unlabeled data through the lens of kernel embedding2502.21194 · 28 Feb 2025
  94. Position: Solve Layerwise Linear Models First to Understand Neural Dynamical Phenomena (Neural Collapse, Emergence, Lazy/Rich Regime, and Grokking)2502.21009 · 28 Feb 2025
  95. Evolution of Information in Interactive Decision Making: A Case Study for Multi-Armed Bandits2503.00273 · 1 Mar 2025
  96. Generalization Bounds for Equivariant Networks on Markov Data2503.00292 · 1 Mar 2025
  97. On the Saturation Effects of Spectral Algorithms in Large Dimensions2503.00504 · 1 Mar 2025
  98. LNUCB-TA: Linear-nonlinear Hybrid Bandit Learning with Temporal Attention2503.00387 · 1 Mar 2025
  99. Trajectory Inference with Smooth Schrödinger Bridges2503.00530 · 1 Mar 2025
  100. Batched Single-Index Global Multi-Armed Bandits with Covariates2503.00565 · 1 Mar 2025