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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. On the Unique Recovery of Transport Maps and Vector Fields from Finite Measure-Valued Data2604.07671 · 9 Apr 2026
  2. Spectral-transport stability and benign overfitting for minimum norm interpolation2604.08625 · 9 Apr 2026
  3. Online Quantile Regression for Nonparametric Additive Models2604.08969 · 10 Apr 2026
  4. Beyond Augmented-Action Surrogates for Multi-Expert Learning-to-Defer2604.09414 · 10 Apr 2026
  5. Discrete Flow Maps2604.09784 · 10 Apr 2026
  6. Iterative Identification Closure: Amplifying Causal Identifiability in Linear SEMs2604.09309 · 10 Apr 2026
  7. Sharp description of local minima in the loss landscape of high-dimensional two-layer ReLU neural networks2604.09412 · 10 Apr 2026
  8. A Predictive View on Streaming Hidden Markov Models2604.09208 · 10 Apr 2026
  9. Identifying Causal Effects Using a Single Proxy Variable2604.09135 · 10 Apr 2026
  10. A novel hybrid approach for positive-valued DAG learning2604.08935 · 10 Apr 2026
  11. A Deep Generative Approach to Stratified Learning2604.10650 · 12 Apr 2026
  12. Orthogonal machine learning for conditional odds and risk ratios2604.10412 · 12 Apr 2026
  13. One-Step Score-Based Density Ratio Estimation2604.10672 · 12 Apr 2026
  14. Tail-Aware Information-Theoretic Bounds for LLM Alignment under Heavy-Tailed Rewards2604.10727 · 12 Apr 2026
  15. ADD for Multi-Bit Image Watermarking2604.11491 · 13 Apr 2026
  16. Neural Generalized Mixed-Effects Models2604.10976 · 13 Apr 2026
  17. DDO-RM: Distribution-Level Policy Improvement after Reward Learning2604.11119 · 13 Apr 2026
  18. Regional Explanations: Bridging Local and Global Variable Importance2604.11223 · 13 Apr 2026
  19. Trustworthy Feature Importance Avoids Unrestricted Permutations2604.11253 · 13 Apr 2026
  20. Cost-optimal Sequential Testing via Doubly Robust Q-learning2604.11165 · 13 Apr 2026
  21. On the continuum limit of t-SNE for data visualization2604.12041 · 13 Apr 2026
  22. A Nonparametric Adaptive EWMA Control Chart for Binary Monitoring of Multiple Stream Processes2604.12095 · 13 Apr 2026
  23. Obtaining Partition Crossover masks using Statistical Linkage Learning for solving noised optimization problems with hidden variable dependency structure2604.11862 · 13 Apr 2026
  24. Causal Diffusion Models for Counterfactual Outcome Distributions in Longitudinal Data2604.12992 · 14 Apr 2026
  25. Rare Event Analysis via Stochastic Optimal Control2604.13213 · 14 Apr 2026
  26. SMART Fine-tuning Factor Augmented Neural Lasso2604.12288 · 14 Apr 2026
  27. Information-Geometric Decomposition of Generalization Error in Unsupervised Learning2604.12340 · 14 Apr 2026
  28. Identifiability of Potentially Degenerate Gaussian Mixture Models With Piecewise Affine Mixing2604.13218 · 14 Apr 2026
  29. A Bayesian Perspective on the Role of Epistemic Uncertainty for Delayed Generalization in In-Context Learning2604.12434 · 14 Apr 2026
  30. Adaptive Learning via Off-Model Training and Importance Sampling for Fully Non-Markovian Optimal Stochastic Control. Complete version2604.13147 · 14 Apr 2026
  31. Joint Representation Learning and Clustering via Gradient-Based Manifold Optimization2604.13484 · 15 Apr 2026
  32. Doubly Outlier-Robust Online Infinite Hidden Markov Model2604.14322 · 15 Apr 2026
  33. Covariance-adapting algorithm for semi-bandits with application to sparse rewards2604.13738 · 15 Apr 2026
  34. Robust Low-Rank Tensor Completion based on M-product with Weighted Correlated Total Variation and Sparse Regularization2604.13525 · 15 Apr 2026
  35. Structural interpretability in SVMs with truncated orthogonal polynomial kernels2604.15285 · 16 Apr 2026
  36. Expert-Guided Class-Conditional Goodness-of-Fit Scores for Interpretable Classification with Informative Missingness: An Application to Seismic Monitoring2604.14809 · 16 Apr 2026
  37. PRIM-cipal components analysis2604.15538 · 16 Apr 2026
  38. Unsupervised feature selection using Bayesian Tucker decomposition2604.14949 · 16 Apr 2026
  39. Differentially Private Conformal Prediction2604.14621 · 16 Apr 2026
  40. Best of both worlds: Stochastic & adversarial best-arm identification2604.14860 · 16 Apr 2026
  41. One-Shot Generative Flows: Existence and Obstructions2604.15439 · 16 Apr 2026
  42. Amortized Optimal Transport from Sliced Potentials2604.15114 · 16 Apr 2026
  43. Scalable Model-Based Clustering with Sequential Monte Carlo2604.14810 · 16 Apr 2026
  44. MinShap: A Shapley-Based Framework for Feature Redundancy2604.15107 · 16 Apr 2026
  45. Fairness Constraints in High-Dimensional Generalized Linear Models2604.16610 · 17 Apr 2026
  46. Adaptive multi-fidelity optimization with fast learning rates2604.16239 · 17 Apr 2026
  47. Neighbor Embedding for High-Dimensional Sparse Poisson Data2604.16932 · 18 Apr 2026
  48. Extraction of informative statistical features in the problem of forecasting time series generated by It{ô}-type processes2604.16865 · 18 Apr 2026
  49. A Mechanism Study of Delayed Loss Spikes in Batch-Normalized Linear Models2604.16809 · 18 Apr 2026
  50. StrEBM: A Structured Latent Energy-Based Model for Blind Source Separation2604.17381 · 19 Apr 2026
  51. Forecast Sports Outcomes under Efficient Market Hypothesis: Theoretical and Experimental Analysis of Odds-Only and Generalised Linear Models2604.17194 · 19 Apr 2026
  52. PAC-Bayes Bounds for Gibbs Posteriors via Singular Learning Theory2604.17219 · 19 Apr 2026
  53. FUSE: Ensembling Verifiers with Zero Labeled Data2604.18547 · 20 Apr 2026
  54. Sparse Network Inference under Imperfect Detection and its Application to Ecological Networks2604.18820 · 20 Apr 2026
  55. Symmetry Guarantees Statistic Recovery in Variational Inference2604.18310 · 20 Apr 2026
  56. Overcoming Selection Bias in Statistical Studies With Amortized Bayesian Inference2604.18319 · 20 Apr 2026
  57. Revisiting Active Sequential Prediction-Powered Mean Estimation2604.18569 · 20 Apr 2026
  58. mlr3torch: A Deep Learning Framework in R based on mlr3 and torch2604.18152 · 20 Apr 2026
  59. Random Matrix Theory of Early-Stopped Gradient Flow: A Transient BBP Scenario2604.18450 · 20 Apr 2026
  60. Spectral bandits for smooth graph functions2604.18420 · 20 Apr 2026
  61. Adaptive Kernel Selection for Kernelized Diffusion Maps2604.18402 · 20 Apr 2026
  62. Distributional Off-Policy Evaluation with Deep Quantile Process Regression2604.18143 · 20 Apr 2026
  63. Fast estimation of Gaussian mixture components via centering and singular value thresholding2604.19091 · 21 Apr 2026
  64. Analytical Extraction of Conditional Sobol' Indices via Basis Decomposition of Polynomial Chaos Expansions2604.19165 · 21 Apr 2026
  65. Achieving the Kesten-Stigum bound in the non-uniform hypergraph stochastic block model2604.20907 · 21 Apr 2026
  66. Beyond Bellman: High-Order Generator Regression for Continuous-Time Policy Evaluation2604.18972 · 21 Apr 2026
  67. Efficient Symbolic Computations for Identifying Causal Effects2604.20516 · 22 Apr 2026
  68. Properties and limitations of geometric tempering for gradient flow dynamics2604.20301 · 22 Apr 2026
  69. Online Survival Analysis: A Bandit Approach under Cox PH Model2604.20296 · 22 Apr 2026
  70. Decentralized Machine Learning with Centralized Performance Guarantees via Gibbs Algorithms2604.20492 · 22 Apr 2026
  71. Geometric Renyi Differential Privacy: Ricci Curvature Characterized by Heat Diffusion Mechanisms2604.20761 · 22 Apr 2026
  72. On Bayesian Softmax-Gated Mixture-of-Experts Models2604.20551 · 22 Apr 2026
  73. Learning to Emulate Chaos: Adversarial Optimal Transport Regularization2604.21097 · 22 Apr 2026
  74. There Will Be a Scientific Theory of Deep Learning2604.21691 · 23 Apr 2026
  75. Refining Covariance Matrix Estimation in Stochastic Gradient Descent Through Bias Reduction2604.21203 · 23 Apr 2026
  76. A single algorithm for both restless and rested rotting bandits2604.21432 · 23 Apr 2026
  77. Calibeating Prediction-Powered Inference2604.21260 · 23 Apr 2026
  78. Beyond Expected Information Gain: Stable Bayesian Optimal Experimental Design with Integral Probability Metrics and Plug-and-Play Extensions2604.21849 · 23 Apr 2026
  79. Revealing Geography-Driven Signals in Zone-Level Claim Frequency Models: An Empirical Study using Environmental and Visual Predictors2604.21893 · 23 Apr 2026
  80. A Kernel Nonconformity Score for Multivariate Conformal Prediction2604.21595 · 23 Apr 2026
  81. CLT-Optimal Parameter Error Bounds for Linear System Identification2604.21270 · 23 Apr 2026
  82. CLVAE: A Variational Autoencoder for Long-Term Customer Revenue Forecasting2604.22636 · 24 Apr 2026
  83. Mixed Membership sub-Gaussian Models2604.22633 · 24 Apr 2026
  84. Concave Statistical Utility Maximization Bandits via Influence-Function Gradients2604.22140 · 24 Apr 2026
  85. FedSPDnet: Geometry-Aware Federated Deep Learning with SPDnet2604.22494 · 24 Apr 2026
  86. Rethinking Trust Region Bayesian Optimization in High Dimensions2604.22967 · 24 Apr 2026
  87. Pack only the essentials: Adaptive dictionary learning for kernel ridge regression2604.22386 · 24 Apr 2026
  88. Conformalized Super Learner2604.22391 · 24 Apr 2026
  89. Pliable rejection sampling2604.22385 · 24 Apr 2026
  90. Explanation of Dynamic Physical Field Predictions using WassersteinGrad: Application to Autoregressive Weather Forecasting2604.22580 · 24 Apr 2026
  91. Turtle shell clustering: A mixture approach to discriminative clustering with applications to flow cytometry and other data2604.23083 · 25 Apr 2026
  92. Inference of Online Newton Methods with Nesterov's Accelerated Sketching2604.23436 · 25 Apr 2026
  93. Explicit integral representations and quantitative bounds for two-layer ReLU networks2604.23260 · 25 Apr 2026
  94. MOCA: A Transformer-based Modular Causal Inference Framework with One-way Cross-attention and Cutting Feedback2604.23107 · 25 Apr 2026
  95. Learning Curves and Benign Overfitting of Spectral Algorithms in Large Dimensions2604.23212 · 25 Apr 2026
  96. High-dimensional Semi-supervised Classification via the Fermat Distance2604.23573 · 26 Apr 2026
  97. Probabilistic Graphical Model using Graph Neural Networks for Bayesian Inversion of Discrete Structural Component States2604.23514 · 26 Apr 2026
  98. A Divergence-Based Method for Weighting and Averaging Model Predictions2604.24172 · 27 Apr 2026
  99. Identifiability and Stability of Generative Drifting in the Companion-Elliptic Kernel Family2604.24196 · 27 Apr 2026
  100. Extreme bandits2604.24545 · 27 Apr 2026