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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. Efficient Synthetic Network Generation via Latent Embedding Reconstruction2606.00934 · 31 May 2026
  2. On the Uncertainty Quantification Ability of Tabular Foundation Models2606.01427 · 31 May 2026
  3. Variation Spaces for Encoder--Decoder Neural Operators: Approximation and Generalization2606.01244 · 31 May 2026
  4. Target Updates May Stabilize Linear Q-Learning: Periodic and Soft Dynamics2606.02645 · 31 May 2026
  5. Computation-Aware Kalman Filtering with Model Selection for Neural Dynamics2606.01468 · 31 May 2026
  6. Distribution-free changepoint localization after sequential change detection2606.01256 · 31 May 2026
  7. Practical and Optimal Algorithm for Linear Contextual Bandits with Rare Parameter Updates2606.00984 · 31 May 2026
  8. Convex Distance Operator Transport: A Convex and Geometry-Preserving Formulation2606.02047 · 1 Jun 2026
  9. Doing well with less! On Sampling Techniques for Empirical Pairwise Loss Estimation/Minimization2606.02345 · 1 Jun 2026
  10. ScoreStop: Gradient-based early stopping using functional score tests2606.02740 · 1 Jun 2026
  11. It does what it says on the tin: safe synthetic data from coarsened margins2606.02101 · 1 Jun 2026
  12. Self-Regulating Annealing in Heavy-Tailed Diffusion Models2606.01645 · 1 Jun 2026
  13. Identifiable Markov Switching Models with Instantaneous Effects and Exponential Families2606.02231 · 1 Jun 2026
  14. Bayesian meta-learning for modeling Alzheimer's disease progression2606.02228 · 1 Jun 2026
  15. Provable Data Scaling Law for Meta Learning via Complexity Minimization2606.02008 · 1 Jun 2026
  16. ProbRes: Volatility Learning for Probabilistic Time-Series Forecasting2606.02117 · 1 Jun 2026
  17. ShaplEIG: Bayesian Experimental Design for Shapley Value Estimation2606.02247 · 1 Jun 2026
  18. Scalable Derivative Gaussian Processes via Exact Gradient Reduction2606.02909 · 1 Jun 2026
  19. Error Bounds for a Diffusion Model-Based Drift Estimator2606.02115 · 1 Jun 2026
  20. State-Coupled Volatility in Latent Dynamical Systems: Recovery Under Partial Observation2606.02664 · 1 Jun 2026
  21. A Robust Optimization Approach to Sparse Principal Component Analysis2606.03553 · 2 Jun 2026
  22. Hierarchies of Calibration: Classification meets Regression2606.03245 · 2 Jun 2026
  23. Central Description Length (CDL) Clustering Validation Index2606.05230 · 2 Jun 2026
  24. Set-Preserving Calibration from Conformal P-Values to E-Values2606.03600 · 2 Jun 2026
  25. A Quantitative Approximation Framework for Flow Distillation in Diffusion Models2606.03820 · 2 Jun 2026
  26. An Asymptotic Theory of Chain-of-Thought in In-Context Learning2606.03217 · 2 Jun 2026
  27. Few-Shot Prediction for Pulsar Noise with Long Short-Term Memory Network2606.03574 · 2 Jun 2026
  28. Finite-Iteration Local Dynamics and Warm Starts for Alternating Power Iteration in Spiked Tensor PCA2606.04065 · 2 Jun 2026
  29. Combining Statistical Features and Deep Encodings for Rehearsal-Based Class-Incremental Time Series Classification2606.03292 · 2 Jun 2026
  30. Trajectory-Aware Node Contributions and the Limits of Static Controllability2606.03067 · 2 Jun 2026
  31. Adaptive Inference for Resource-Constrained Dynamic Pricing2606.03736 · 2 Jun 2026
  32. Privacy-Robust Incrementality Measurement for Advertising Systems under Signal Loss2606.03878 · 2 Jun 2026
  33. Deterministic Envelopes for Tamed SGLD: Decoupling Stochastic Gradient Noise and Localizing Taming2606.05242 · 3 Jun 2026
  34. HyFAD: Hybrid Time-Frequency Diffusion with Frequency-Aware Embedding for Time Series Imputation2606.05239 · 3 Jun 2026
  35. TabSODA: Tabular Diffusion based Imputation with Skip Pattern Detection and Ordinal Awareness2606.05361 · 3 Jun 2026
  36. REGAIN: REconciliation GAIN-driven Auxiliary Direction Learning2606.04380 · 3 Jun 2026
  37. Knockoffs-based False Discovery Rate Control and Simplification for Deep Neural Networks2606.04404 · 3 Jun 2026
  38. Bayesian learning for the stochastic shortest path problem2606.04845 · 3 Jun 2026
  39. Environment-Robust Representation Learning with Empirical Bayes2606.05365 · 3 Jun 2026
  40. Flatness and Generalization: Learning Multi-Index Models with Homogeneous Neural Networks2606.04429 · 3 Jun 2026
  41. Sparse Functional Singular Value Decomposition for Biclustering and Triclustering Longitudinal Data2606.05488 · 3 Jun 2026
  42. Harnessing Source Heterogeneity for Cluster-Structured Transfer Learning2606.05258 · 3 Jun 2026
  43. ReSGA: A Large Tail Risk Model for Learning Value-at-Risk and Expected Shortfall2606.04576 · 3 Jun 2026
  44. Diffusion Models Observe Only Gradients: A Geometric Perspective on Score Matching Errors2606.06179 · 4 Jun 2026
  45. Adaptive Learning Rates with Surrogate Probability for Follow-the-Perturbed-Leader2606.06043 · 4 Jun 2026
  46. Optimal Rates for Generalization of Gradient Descent Methods with Deep Neural Networks2606.06764 · 4 Jun 2026
  47. Conformal Risk-Averse Decision Making with Action Conditional Guarantee2606.05551 · 4 Jun 2026
  48. Fast and Robust Convergence Rate for TD(0) with Linear Function Approximation, Universal Learning Steps and I.I.D. Samples2606.05967 · 4 Jun 2026
  49. Minimax-Optimal Generalization Bounds for Smooth Deep Neural Networks Trained by (Stochastic) Gradient Descent2606.06772 · 4 Jun 2026
  50. EML-CD: Causal Mechanism Recovery via EML Symbolic Trees in Structure Learning2606.05942 · 4 Jun 2026
  51. Anchor PCA2606.06233 · 4 Jun 2026
  52. Finding Most Influential Sets2606.05919 · 4 Jun 2026
  53. Disentangling Latent Risk Pathways via Bayesian Hypergraph Inference2606.07677 · 4 Jun 2026
  54. Function-Space Priors for Bayesian Neural ODEs with Application to Vessel Trajectory Prediction2606.06351 · 4 Jun 2026
  55. Discrete Causal Representations from Heterogeneous Domains: A Bayesian Approach with Social Survey Applications2606.06288 · 4 Jun 2026
  56. Conformal Risk Sharing: Certified Cost Allocation with Participation Guarantees2606.06391 · 4 Jun 2026
  57. Symmetric Divergence and Normalized Similarity: A Unified Topological Framework for Representation Analysis2606.06342 · 4 Jun 2026
  58. Effective Dimensionality as an Operator Invariant for Physics-Preserving Constraint Adaptation in Physics-Informed Neural Networks2606.06171 · 4 Jun 2026
  59. Stability beyond Bounded Differences: Sharp Generalization Bounds under Finite $L_p$ Moments2606.06855 · 5 Jun 2026
  60. Transfer learning for causal forest2606.07693 · 5 Jun 2026
  61. Empirical Transfer Operators and Finite-Sample Change Detection for Noisy Expanding Interval Maps2606.06785 · 5 Jun 2026
  62. Deep Single-Index Fréchet Regression2606.06957 · 5 Jun 2026
  63. The Effect of Training Task Diversity on In-Context Learning through the Lens of Low-Dimensional Subspaces2606.06814 · 5 Jun 2026
  64. Automatic, Debiased, and Invariant Counterfactual Generation under General Interventions2606.07399 · 5 Jun 2026
  65. MEC-Cox: Machine-Learning-Assisted Generalized Entropy Calibration for ATT Marginal Hazard-Ratio Estimation2606.08305 · 6 Jun 2026
  66. Beyond Additivity: Causal Discovery in Location-Scale Noise Models with Hidden Variables2606.08196 · 6 Jun 2026
  67. Variational Proximal Policy Optimization2606.08032 · 6 Jun 2026
  68. Barycentric Projections of Optimal Transport Plans on Riemannian Manifolds2606.07926 · 6 Jun 2026
  69. Identifiability and Estimation for Unlabeled Finite Mixtures under Marginal Independence2606.07914 · 6 Jun 2026
  70. Vector Space of Cycles2606.08202 · 6 Jun 2026
  71. LOTTERY: Learning from Reference-Only Samples in Two-Sample Testing under Size Asymmetry2606.08460 · 7 Jun 2026
  72. Improving the sharpness in neural network-based parametric post-processing of ensemble forecasts2606.08587 · 7 Jun 2026
  73. Improving Bayesian Optimization via Training-Aware Conditional Diffusion Models2606.08438 · 7 Jun 2026
  74. Generalization in Nonlinear Least Squares via Learned Feature Geometry2606.08799 · 7 Jun 2026
  75. Rank Intervals for Leaderboards: A Hierarchical Framework for Model Evaluation2606.08679 · 7 Jun 2026
  76. Decision-Calibrated Conformal Uncertainty for Pacing Decisions in Streaming Advertising2606.10187 · 8 Jun 2026
  77. Convergence Rates for Neural-Network Estimation with Current-Status Data2606.10119 · 8 Jun 2026
  78. Robust Active Learning for Few-Shot Example Selection in Text-to-SQL2606.10125 · 8 Jun 2026
  79. SAILS: Surrogate-based Analysis of Interactions via Local Effect Smooths2606.09404 · 8 Jun 2026
  80. Estimate Collapsibility of Causal Effects in Completed Partial DAGs via Strong d-Convex Hulls2606.08941 · 8 Jun 2026
  81. Multi-Armed Bandits with Arriving Arms: Sequential Screening, Dynamic Regret, and Sublinear Guarantees2606.09002 · 8 Jun 2026
  82. Report the Floor: A Training-Free Conformal Interval Is a Mandatory Baseline for Probabilistic Time-Series Forecasting2606.09473 · 8 Jun 2026
  83. Generalized Conformal Predictive Systems Under Distributional Shifts2606.11044 · 9 Jun 2026
  84. $k$-Nearest Neighbors in Gromov--Wasserstein Space2606.10295 · 9 Jun 2026
  85. Itô maps for any-step SDEs2606.11156 · 9 Jun 2026
  86. Human-AI Teaming Through the Lens of Calibration2606.10906 · 9 Jun 2026
  87. Range Penalization: Theoretical Insights with Applications in Federated Learning2606.10916 · 9 Jun 2026
  88. Near-Exponential Convergence Rates for kNN Classification based on Boltzmann Margin2606.10361 · 9 Jun 2026
  89. Annealed Entropic Allocation for Ranking and Selection2606.11347 · 9 Jun 2026
  90. Identifiability Without Gaussianity: Symbolic World Models and Near-Infinite Temporal Consistency2606.12471 · 9 Jun 2026
  91. Phase Transitions in Attention: A Bayesian Theory of Copy Head Emergence2606.12058 · 10 Jun 2026
  92. From Persistence to Survival: Hypothesis Testing, Effect Sizes and Vectorisation for Topological Features2606.11911 · 10 Jun 2026
  93. Epistemic Uncertainty Is Not the Reducible Kind2606.12646 · 10 Jun 2026
  94. Renewable Lasso without Batch-Number Constraints: A Gradient-Enhanced Approach2606.11738 · 10 Jun 2026
  95. Enhancing Spectral Embedding through Robust and Flexible Knowledge Transfer in Electronic Health Records2606.11570 · 10 Jun 2026
  96. Conformal Bayes under Label Shift: Post-Hoc Calibration vs. In-Training Adaptation2606.11865 · 10 Jun 2026
  97. LoMC: Localized Multidirectional Correction for Refusal Suppression in Routed Foundation Models2606.13709 · 10 Jun 2026
  98. Robust State-Conditional Feature-Weighted Jump Models for Temporal Clustering2606.13146 · 11 Jun 2026
  99. Simultaneous Latent Budget Trees for Stratified Classification2606.13295 · 11 Jun 2026
  100. Majority-of-Three is Optimal2606.13614 · 11 Jun 2026