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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. Minimax Lower Bounds of Kernel Discrepancy Estimation: MMD, HSIC, KSD2607.24235 · 27 Jul 2026
  2. A Model for Imbalanced Label Aggregation: A Focus on Minority-Class Detection2607.24622 · 27 Jul 2026
  3. Lloyd's $K$-Means Clustering Algorithm Is Frank-Wolfe in Disguise2607.25190 · 28 Jul 2026
  4. More Data, Worse Decisions? Preference Reversals in Neural Networks under Gram Incompatibility2607.27255 · 28 Jul 2026
  5. Can Deep Generative Models Reproduce Non-Stationary Gaussian Random Fields?2607.25929 · 28 Jul 2026
  6. Learning from the Unseen: Offline Reinforcement Learning with Hidden Actions2607.25241 · 28 Jul 2026
  7. Conformalized Rate-Adaptive Sensing2607.26887 · 29 Jul 2026
  8. HOMER: Huber-of-Means for Efficient and Robust Estimation in Hilbert Spaces2607.27532 · 29 Jul 2026
  9. An analysis of binary isotonic regression: degrees of freedom and implications for calibration2607.27301 · 29 Jul 2026
  10. Breaking the Curse with BAND: Nonparametric Distribution Estimation in High Dimensions2607.26955 · 29 Jul 2026
  11. PIKS: Universal Physics-Informed Kernel Methods2607.27062 · 29 Jul 2026
  12. Feature Bagging Provides Stability2607.26964 · 29 Jul 2026
  13. Expected Survival-Time Bounds for Robust Optimization Over Time under Isotropic Gaussian Dynamics2607.27280 · 29 Jul 2026
  14. Think Short, Defer Smart, Act, and Repeat: Calibrated Reasoning and Uncertainty-Aware Deferral for Edge LLM Agents2607.26865 · 29 Jul 2026
  15. Early Failure Prediction from Near-Anomaly Detection: A Proactive Approach2607.26704 · 29 Jul 2026
  16. Crossing-Free Probabilistic K-Line Forecasts Without Retraining2607.26792 · 29 Jul 2026
  17. Chaos Is a LADDER: Domain Generalization Beyond Invariance via Reweighting2607.26458 · 29 Jul 2026
  18. Origins and mitigation of double descent in reduced order modeling2607.26414 · 29 Jul 2026
  19. Conditioning Tree-Based Diffusions and Flows for Probabilistic Tabular Regression2607.28864 · 30 Jul 2026
  20. Robust Wavelength Selection for Partial Least Squares Sugar Content Estimation Using Combinatorial Bayesian Optimization2607.27645 · 30 Jul 2026
  21. Error Analysis of Neural-Network-Based Engression2607.27723 · 30 Jul 2026
  22. Accelerated Random-Sweep Gibbs Sampling for Gaussian Graphical Models via Dual Normal Factor Graphs2607.28706 · 30 Jul 2026
  23. Robust Estimation of Sparse Numerical Vectors under Local Differential Privacy2607.27815 · 30 Jul 2026
  24. The Noise Premium in Adversarial Training for Kernel Regression2607.27995 · 30 Jul 2026
  25. Uncertainty quantification for trustworthy deep learning: Methods and measures2607.28248 · 30 Jul 2026
  26. Doubly Robust Functional Representation Learning for Longitudinal Causal Inference with Irregular Histories2607.28567 · 30 Jul 2026
  27. On a joint simultaneous learning of relevant feature subsets and subspaces in regression-like problems2607.28080 · 30 Jul 2026
  28. Persistent Convolution: A Topological Framework for AI Alignment Testing and Semantic Space Characterization2607.29008 · 31 Jul 2026
  29. A reproducible and extensible framework for benchmarking competing risks survival models2608.00271 · 31 Jul 2026
  30. Analytical and Bootstrap Confidence Intervals of Double Machine Learning: Simulation studies and an application to rural-urban difference in obesity prevalence2607.29456 · 31 Jul 2026
  31. Structured Neural Chaos: An Adaptive Surrogate Modeling Framework for Functional Uncertainty Quantification and Global Sensitivity Analysis2607.28903 · 31 Jul 2026
  32. Simple-regret rates and minimax optimality of fixed-prior expected improvement in Matérn and squared-exponential RKHSs2607.29245 · 31 Jul 2026
  33. The Greedy Advantage in Finite-Horizon Bandits2607.29375 · 31 Jul 2026
  34. Causal Inference with Unstructured Treatments2608.00657 · 1 Aug 2026
  35. Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors2608.00675 · 1 Aug 2026
  36. How fine a change can moments see? A scale law for detecting distribution shift, with a kernel calibration rule2608.01268 · 2 Aug 2026
  37. Dominant Arm Identification with Mixing and Recycling Observed Samples2608.01545 · 2 Aug 2026
  38. Model-Agnostic FDR Control via Group Gaussian Mirror and Permutation SHAP2608.00989 · 2 Aug 2026
  39. Interaction Is Not Necessary for Order-Optimal 1-Bit Mean Estimation2608.02538 · 3 Aug 2026
  40. The Label Defines the Timescale: Trait-State Limits of Temporal-Aggregate Learning2608.01587 · 3 Aug 2026
  41. A Hyperfinite Framework for Score-Based Generative Modeling2608.02799 · 3 Aug 2026
  42. Particle-based Generalised Stochastic Optimisation2608.02844 · 3 Aug 2026
  43. Computational and Statistical Guarantees of the \textit{c}-Rectified flow2608.02487 · 3 Aug 2026
  44. Detecting Nonproperness of Likelihood Equations2608.01976 · 3 Aug 2026
  45. Finite-Probe Total-Variation Certificates for Finite-Basis Drifting Models2608.01547 · 3 Aug 2026
  46. Private Generative Bootstrap via Blocking2608.02480 · 3 Aug 2026
  47. Minimax-Optimal Semiparametric Contextual Dynamic Pricing with Multimodal Revenue2608.03142 · 4 Aug 2026
  48. Divide-and-Conquer: Towards Generalizable Amortized Bayesian Inference for the Drift Diffusion Model2608.03566 · 4 Aug 2026
  49. Causal Inference with Unstructured Outcomes2608.03085 · 4 Aug 2026
  50. TorchDCM: A Unified PyTorch-Native Package for Discrete Choice Modeling2608.19231 · 4 Aug 2026
  51. Information-Geometric Forward Policy Training in GFlowNets2608.03967 · 4 Aug 2026
  52. Statistical learning theory and Occam's razor: Regularization2608.04049 · 4 Aug 2026
  53. Conformal risk control for model-form uncertainty in parametric non-intrusive reduced-order models2608.03360 · 4 Aug 2026
  54. Should the Boundary Term Be Learned in Reflected Diffusion? Conormal Trace and Reflection Masking2608.03469 · 4 Aug 2026
  55. Robust Low-Tubal-Rank Tensor Completion under Cross-Concentrated Sampling2608.03928 · 4 Aug 2026
  56. Intrinsic-Hybrid Latent Diffusion Models for Generative Modeling on Unknown Manifolds2608.04827 · 5 Aug 2026
  57. A Unified Causal Inference Framework for the Desirability of Outcome Ranking Paradigm in Benefit-Risk Evaluation2608.05244 · 5 Aug 2026
  58. Stable Density Ridges: Consistency and Convergence of Subspace Constrained Mean Shift2608.05112 · 5 Aug 2026
  59. Automatic Statistical Test for Rationally Expressible Algorithms by Selective Inference, with Applications to Feature Selection2608.04667 · 5 Aug 2026
  60. RouteGuard: Certifying Routing Gain in LLM Multi-Agent Systems When Complementarity Is Not Enough2608.07583 · 5 Aug 2026
  61. Quality Diversity for Reliable Data Driven Time-Use Optimization2608.05230 · 5 Aug 2026
  62. Scalable estimation of VARMA models2608.06340 · 6 Aug 2026
  63. Optimal Rates for Learning with Monotone Adversaries2608.06337 · 6 Aug 2026
  64. Handling Missing Data in Probabilistic Regression Trees2608.06195 · 6 Aug 2026
  65. Beyond Marginal Validity: Finite-Sample Guarantees for Localized Conformal Prediction2608.06206 · 6 Aug 2026
  66. Stochastic Dynamics on Persistence Diagram Space via Reinforcement Learning2608.06276 · 6 Aug 2026
  67. Minimax Optimal Early-Stopped Gradient Descent for Gaussian Mixture Classification2608.06250 · 6 Aug 2026
  68. Deep Generalised Mixed Models: a Novel Neural Network Structure for Analysing Hierarchical Data2608.05930 · 6 Aug 2026
  69. Leveraging generative models to assist Monte Carlo sampling2608.07648 · 7 Aug 2026
  70. Conformal Calibration for Multi-Modal Regression with Missing Modalities2608.07795 · 7 Aug 2026
  71. Mixture of Geodesic Factor Analyzers on Riemannian Homogeneous Spaces2608.06971 · 7 Aug 2026
  72. Stochastic gradient descent with discontinuity across a manifold2608.07618 · 7 Aug 2026
  73. Optimized Certainty Equivalent Risk Minimization Using Samples: Algorithms, Convergence Rates, and Applications2608.07113 · 7 Aug 2026
  74. Conditional Diffusion for Nonparametric Instrumental Variable Quantile Regression2608.08204 · 8 Aug 2026
  75. The Spectral Neuron2608.08003 · 8 Aug 2026
  76. A Mean-Field Framework for Inference-Time Distributional Control of Diffusion Models2608.08770 · 9 Aug 2026
  77. A Distribution Mapping Approach to Counterfactually Fair Reinforcement Learning2608.08743 · 9 Aug 2026
  78. LazyHMC: Hamiltonian Monte Carlo Simulation for Lazy, Infinite Dimensional Probabilistic Programs2608.08588 · 9 Aug 2026
  79. Multi-kernel spectral clustering: Entrywise eigenvector perturbation bounds and exact recovery2608.08704 · 9 Aug 2026
  80. Physics-Informed Learning for Robust Acoustic Localization with Calibrated Uncertainty2608.08911 · 9 Aug 2026
  81. ARC: Augmented-Rank Conformalization for Changepoint Localization --- Finite-Sample Validity and Distribution-Robust Efficiency2608.08424 · 9 Aug 2026
  82. Deciding When to Switch: E-Processes for Adaptive Minimax Training for Generative Adversarial Nets2608.10096 · 10 Aug 2026
  83. Logarithmic-Free Moment and Generalization Bounds for Uniformly Stable Algorithms2608.09870 · 10 Aug 2026
  84. Personalized Federated Learning via Variance-Aware Nonparametric Empirical Bayes2608.09074 · 10 Aug 2026
  85. Black-Box Knowledge Transfer across Distinct Feature Sets2608.12403 · 10 Aug 2026
  86. CPDA: Class-Conditional Path Distribution Alignment for Unsupervised Time-Series Domain Adaptation2608.09193 · 10 Aug 2026
  87. Spectral Embeddings of Degree-$α$ Laplacians in Random Dot Product Graphs2608.10845 · 11 Aug 2026
  88. Iterative Erasure Count Is Not an Affine-Invariant Concept Dimension2608.10566 · 11 Aug 2026
  89. Self-Normalized Inference for Constant-Stepsize Temporal-Difference Learning under Markovian Sampling2608.10896 · 11 Aug 2026
  90. Conditional Independence Tests for Constraint-Based Causal Discovery: A Survey2608.11156 · 11 Aug 2026
  91. SSPO: Structure-Aware Similarity-Weighted Preference Optimization for Neural Combinatorial Optimization2608.12443 · 12 Aug 2026
  92. Fine-Tuning Generative Models for Extreme Events via CVaR-Penalized Wasserstein Gradient Flows2608.11544 · 12 Aug 2026
  93. Bagging Robustly Learns VC Classes with Linear Sample Complexity2608.13514 · 13 Aug 2026
  94. On the Brittleness of Maximum Likelihood Estimation for Gaussian Process Hyperparameter Optimization2608.13793 · 13 Aug 2026
  95. Sinkhorn Linearization and the Spectral Proxy: Unifying the Statistical and Algorithmic Theory of Feature-Parameterized Inverse Optimal Transport via a Single Spectral Sandwich2608.13201 · 13 Aug 2026
  96. Statistical Properties of Robust Learning under Distributional Shifts2608.13133 · 13 Aug 2026
  97. Online Inference for Quantile Temporal Difference Learning in Distributional Reinforcement Learning2608.12973 · 13 Aug 2026
  98. Wasserstein Filtering: A Sample Selection Method for Robust Distribution Learning2608.13418 · 13 Aug 2026
  99. Learning Unsteady Aneurysm Hemodynamics with Physics-Informed DeepONets2608.13629 · 13 Aug 2026
  100. High-dimensional networks and mean squared error for possibly misspecified models2608.13171 · 13 Aug 2026