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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. Characterization of the Basin of Convexity for Multi-Snapshot Spike Deconvolution via Variable Projection2607.09593 · 10 Jul 2026
  2. Deep Gaussian Processes on Directed Acyclic Graphs2607.09645 · 10 Jul 2026
  3. Spectrally Deconfounded Gradient Boosting2607.09371 · 10 Jul 2026
  4. TSCoNet: A Two-Stage Copula CNN-LSTM for Uncertainty-Aware Spatio-Temporal Forecasting2607.10410 · 11 Jul 2026
  5. Integrating Background Knowledge for Scalable Causal Discovery2607.10456 · 11 Jul 2026
  6. Edge Cluster Expansion with Radial Rotary Attention for Interatomic Potentials2607.10664 · 12 Jul 2026
  7. Demixing Sparse Signals from Nonlinear Observations using Generalized Non-convex Regularization2607.10618 · 12 Jul 2026
  8. Beyond Looking Up, Try Looking Around: Harmonizing Global Structure and Local Consistency in Optimal Transport for Short Text Clustering2607.10548 · 12 Jul 2026
  9. Approximation of Analytic Functions by ReLU Neural Networks with Adjustable Depth and Width2607.10589 · 12 Jul 2026
  10. Representation Learning for Semiparametric Causal Mediation Analysis under No Essential Heterogeneity2607.10540 · 12 Jul 2026
  11. Did We Actually Fix It? An Independent Adversarial Stress-Test of Post-Point-Adjustment Evaluation Metrics for Time-Series Anomaly Detection2607.11969 · 12 Jul 2026
  12. Disentangling Forced and Internal Climate Variability in Single Realizations using Dynamic Mode Decomposition with Control2607.18298 · 13 Jul 2026
  13. Long-Memory Reservoir Computing for Data-Scarce Dengue Forecasting2607.11272 · 13 Jul 2026
  14. Diversified Multinomial Logit Contextual Bandits2607.11684 · 13 Jul 2026
  15. Falsifying Causal Graphs With Outlier Events2607.12145 · 13 Jul 2026
  16. Learning the Graphical Nature of Symmetries2607.12026 · 13 Jul 2026
  17. Contrast-Free ICA and Causal Inference via Wasserstein Distances to the Gaussian2607.12832 · 14 Jul 2026
  18. Accelerated Mixing Time of Randomized Hamiltonian Monte Carlo2607.12902 · 14 Jul 2026
  19. Ensemble Controlled-Flow Filtering for Implicit Data Assimilation2607.12975 · 14 Jul 2026
  20. ANGLE: Angular Neural Generative Learning via Engression2607.12833 · 14 Jul 2026
  21. LatentFlow: A General Framework for Conditioning Stochastic Processes2607.12922 · 14 Jul 2026
  22. Thompson Sampling Is 2-Competitive for Mistakes2607.12389 · 14 Jul 2026
  23. Lipschitz Continuity in Deep Learning: A Systematic Review of Theoretical Foundations, Estimation Methods, Regularization Approaches, and Certifiable Robustness2607.16329 · 15 Jul 2026
  24. Multimodal Empirical Bayes Variational Autoencoders for Joint Longitudinal and Time-to-Event Modeling2607.13984 · 15 Jul 2026
  25. Spectral Concentration and Recovery in Sparse High-Dimensional Random Geometric Graphs2607.14304 · 15 Jul 2026
  26. Price of Fairness in Bandits: A Tight Minimax Characterization2607.13402 · 15 Jul 2026
  27. Non-Expansive Two-Time-Scale Stochastic Approximation: A Fixed-Schedule One-Quarter Barrier and Bias-Corrected Acceleration2607.13414 · 15 Jul 2026
  28. Operator-Informed Gaussian Processes for Complex Helmholtz Wavefields: From Synthetic Benchmarks to In Vivo Brain Elastography2607.14193 · 15 Jul 2026
  29. Parallel gradient boosting for flexible estimation of conditional distributions2607.13550 · 15 Jul 2026
  30. Subjective Risk Decomposition: A New View for Uncertainty Quantification2607.15196 · 16 Jul 2026
  31. Design-Based Supervised Learning with Noisy Human Labels2607.15455 · 16 Jul 2026
  32. Optimal Self-Distillation for Rectified Flow via Linear Probing2607.14947 · 16 Jul 2026
  33. cGAP: Generalized Association Plots with HOMALS-Guided Heatmaps for Visualization of High-Dimensional Categorical Data2607.15018 · 16 Jul 2026
  34. Cluster-Aware Matching via Laplacian Optimal Transport2607.16178 · 17 Jul 2026
  35. Deep and Probabilistic Models for Gene Regulatory Network Inference2607.16053 · 17 Jul 2026
  36. Which Hyperparameters Matter? A Game-Theoretic Framework for Interpretable Hyperparameter Sensitivity Analysis2607.15884 · 17 Jul 2026
  37. MTSSL: Meta-Thresholding Semi-Supervised Learning2607.16363 · 17 Jul 2026
  38. Retraining Seeks Stable Signals2607.15623 · 17 Jul 2026
  39. Semi-Supervised Conditional Diffusion via Label Augmentation2607.16685 · 18 Jul 2026
  40. Deep Adaptive Bayesian Screening2607.16927 · 18 Jul 2026
  41. Semi-Supervised Conditional Generative Learning through Stochastic Interpolation and Sufficient Representations2607.16725 · 18 Jul 2026
  42. Twisted Schrödinger Bridge Matching2607.16987 · 18 Jul 2026
  43. Backpropagation-Free Trunk Training via the Split Forward Gradients2607.16612 · 18 Jul 2026
  44. Isotonic Conformal Prediction2607.16675 · 18 Jul 2026
  45. A Causal Markov Condition for Value2607.16717 · 18 Jul 2026
  46. Dropout and Random Gradient Masking Are Asymptotically Equivalent in Large ResNets2607.16761 · 18 Jul 2026
  47. Efficient Sequential Evaluation of Large Language Models2607.17409 · 19 Jul 2026
  48. Kernel Regression with Tensor Trains and Hadamard Overparameterization2607.17390 · 19 Jul 2026
  49. Non-Asymptotic Best Policy Identification Guarantees in Online Reinforcement Learning2607.17201 · 19 Jul 2026
  50. Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics2607.18559 · 20 Jul 2026
  51. An efficient adaptive dimension selection algorithm for multidimensional probit graded response models2607.17654 · 20 Jul 2026
  52. COVAriance-Induced Fairness Gap Penalty for Subgroup-Fair Clustering2607.18119 · 20 Jul 2026
  53. An Adjoint-Sensitivity Framework for Lost-in-the-Middle Phenomena in Causal Residual Transformers2607.17696 · 20 Jul 2026
  54. RELTA-SGLD: Relative-Growth Localized Taming for Nonconvex Stochastic-Gradient Langevin Learning2607.19544 · 21 Jul 2026
  55. Algebraic Signatures for Structural Learning in Probability Tensors2607.18817 · 21 Jul 2026
  56. The Tractability Landscape of Sampling with Inexact Scores2607.19004 · 21 Jul 2026
  57. A Bayesian Framework for Built-in Input Dimension Reduction for Gaussian Process Modeling2607.19498 · 21 Jul 2026
  58. The Price of Hidden Curvature: Improved Lower Bounds for Bandit Convex Optimization2607.18652 · 21 Jul 2026
  59. Boltzmann-Expected Molecular Design with Decoupled Annealing Flows2607.19519 · 21 Jul 2026
  60. Fundamental limits of distributed multiclass classification from simple binary decisions2607.19334 · 21 Jul 2026
  61. Adaptive Bayesian Online Learning via Expert Aggregation2607.20239 · 22 Jul 2026
  62. Optimal Recalibration of an Online Predictor2607.19689 · 22 Jul 2026
  63. Statistical Inference for Rank Allocation in Low-Rank Adaptation2607.20205 · 22 Jul 2026
  64. Adaptive deep nonparametric regression from dependent data under covariate shift2607.20309 · 22 Jul 2026
  65. SPECTRA: State-Space Exogenous Context and Temporal-Frequency Resolution Architecture for Probabilistic Energy Forecasting2607.20587 · 22 Jul 2026
  66. Directional Kernel Mean Difference: A Fast Signed Statistic for Univariate Distribution Comparison2607.20119 · 22 Jul 2026
  67. Non--negative matrix factorization using the \textit{R} package \textsf{nnmf}2607.20084 · 22 Jul 2026
  68. Data-Poisoning Audits for Causal Effect Estimation2607.19692 · 22 Jul 2026
  69. Priors learned from legacy reconstructions inherit undetectable overconfidence2607.21721 · 23 Jul 2026
  70. Automatic knot selection in smooth additive models2607.21083 · 23 Jul 2026
  71. TLRNet: Estimating Individual Treatment Effect based on Local Information and Single Learner Structure2607.22762 · 23 Jul 2026
  72. Simulation-Based Empirical Bayes2607.21843 · 23 Jul 2026
  73. Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting2607.21200 · 23 Jul 2026
  74. Variational Low-rank Tensor Decomposition for Multisubject Spatiotemporal Data Analysis2607.22262 · 24 Jul 2026
  75. Amortized Bayesian Causal Discovery of Extended Factor Graphs2607.22934 · 24 Jul 2026
  76. Convergence analysis of a family of Zermelo-type iterations for the Bradley--Terry model2607.22221 · 24 Jul 2026
  77. CausalSmith: A Formally Grounded, Self-Improving Agentic Framework for Automated Research in Causal Inference2607.22511 · 24 Jul 2026
  78. Modeling Memory-Dependent Reliability of LLMs: A Hidden Markov Model2607.22951 · 24 Jul 2026
  79. Graph-Based Correlation Matrix Generation: A Convex Optimization Approach2607.22436 · 24 Jul 2026
  80. Efficient Online LLM Watermark Detection via Rao-Blackwellized E-Processes2607.21958 · 24 Jul 2026
  81. Learning Bidirectional Causal Interactions with Heteroscedastic Neural Networks2607.22313 · 24 Jul 2026
  82. Learning Ergodic Dynamical Systems from a Finite Trajectory2607.22399 · 24 Jul 2026
  83. General Value Functions for Remaining Useful Life and Failure-Mode Prediction2607.22268 · 24 Jul 2026
  84. Hopformer: Homogeneity-Pursuit Transformer for Time Series Forecasting2607.22299 · 24 Jul 2026
  85. Adaptive Multi-Scale Forecasting and Gate-Localized Conformal Prediction for Multivariate Nonstationary Time Series2607.23165 · 25 Jul 2026
  86. Beyond ICA: Identifiability by Symmetry Breaking2607.23182 · 25 Jul 2026
  87. Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities2607.23018 · 25 Jul 2026
  88. Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces2607.23110 · 25 Jul 2026
  89. FedSLIM: Privacy-Preserving Federated MDL-Based Descriptive Pattern Mining Across Data Silos2607.23236 · 25 Jul 2026
  90. Variable Importance Identification Through Lazy Training for Binary Classification2607.22979 · 25 Jul 2026
  91. Robust Conformalized Selection with Noisy Responses2607.22985 · 25 Jul 2026
  92. Context-Adaptive Inference: A Unified Statistical and Foundation-Model View2607.23304 · 25 Jul 2026
  93. Learning Asymptotics with Convergence-Rate Guarantees using Linear Least Squares2607.23287 · 25 Jul 2026
  94. Logit-Coordinate Generative Models for Mixed Continuous-Categorical Tabular Data2607.23348 · 25 Jul 2026
  95. Learning switched non-linear dynamical systems from a single trajectory2607.23502 · 26 Jul 2026
  96. Two-Timescale Hierarchical Reinforcement Learning for Resilient Operations2607.23434 · 26 Jul 2026
  97. Distributional Split Criteria for Random Forests: Extensions, Shrinkage, and the Robustness of Mean Splitting2607.23721 · 26 Jul 2026
  98. proxymate: Diagnosis and Adjustment of Proxy Estimates for Reliable Inference2607.24401 · 27 Jul 2026
  99. Frequency-Based Reservoir computing2607.24420 · 27 Jul 2026
  100. On Non-Stationary Dynamic Pricing: Adaptivity and Optimality2607.24115 · 27 Jul 2026