exactory
Sign inGet started
← Papers

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. Post-Selection Distributional Model Evaluation2603.23055 · 24 Mar 2026
  2. Between Resolution Collapse and Variance Inflation: Weighted Conformal Anomaly Detection in Low-Data Regimes2603.23205 · 24 Mar 2026
  3. Contextual Graph Matching with Correlated Gaussian Features2603.23305 · 24 Mar 2026
  4. Wasserstein Parallel Transport for Predicting the Dynamics of Statistical Systems2603.23736 · 24 Mar 2026
  5. REALITrees: Rashomon Ensemble Active Learning for Interpretable Trees2603.22750 · 24 Mar 2026
  6. The Mass Agreement Score: A Point-centric Measure of Cluster Size Consistency2603.23581 · 24 Mar 2026
  7. Stepwise Variational Inference with Vine Copulas2603.22959 · 24 Mar 2026
  8. CGRL: Causal-Guided Representation Learning for Node-Level Out-of-Distribution Generalization2603.24304 · 25 Mar 2026
  9. Beyond Consistency: Inference for the Relative risk functional in Deep Nonparametric Cox Models2603.23835 · 25 Mar 2026
  10. Neural Network Models for Contextual Regression2603.24400 · 25 Mar 2026
  11. Isomorphic Functionalities between Ant Colony and Ensemble Learning: Part II-On the Strength of Weak Learnability and the Boosting Paradigm2604.00038 · 25 Mar 2026
  12. Trust Region Constrained Bayesian Optimization with Penalized Constraint Handling2603.24567 · 25 Mar 2026
  13. Federated fairness-aware classification under differential privacy2603.24392 · 25 Mar 2026
  14. Continuous-Time Learning of Probability Distributions: A Case Study in a Digital Trial of Young Children with Type 1 Diabetes2603.24427 · 25 Mar 2026
  15. Practical Efficient Global Optimization is No-regret2603.25311 · 26 Mar 2026
  16. Improving Infinitely Deep Bayesian Neural Networks with Nesterov's Accelerated Gradient Method2603.25024 · 26 Mar 2026
  17. On the Expressive Power of Contextual Relations in Transformers2603.25860 · 26 Mar 2026
  18. Adaptive Subspace Modeling With Functional Tucker Decomposition2603.25530 · 26 Mar 2026
  19. Residual-as-Teacher: Mitigating Bias Propagation in Student--Teacher Estimation2603.25466 · 26 Mar 2026
  20. Fair regression under localized demographic parity constraints2603.25224 · 26 Mar 2026
  21. SAHMM-VAE: A Source-Wise Adaptive Hidden Markov Prior Variational Autoencoder for Unsupervised Blind Source Separation2603.25776 · 26 Mar 2026
  22. Beyond identifiability: Learning causal representations with few environments and finite samples2603.25796 · 26 Mar 2026
  23. The Rules-and-Facts Model for Simultaneous Generalization and Memorization in Neural Networks2603.25579 · 26 Mar 2026
  24. A Distribution-to-Distribution Neural Probabilistic Forecasting Framework for Dynamical Systems2603.25370 · 26 Mar 2026
  25. Kantorovich--Kernel Neural Operators: Approximation Theory, Asymptotics, and Neural Network Interpretation2603.26418 · 27 Mar 2026
  26. Asymptotic Optimism for Tensor Regression Models with Applications to Neural Network Compression2603.26048 · 27 Mar 2026
  27. Koopman Operator Identification of Model Parameter Trajectories for Temporal Domain Generalization (KOMET)2603.26923 · 27 Mar 2026
  28. Generative Score Inference for Multimodal Data2603.26349 · 27 Mar 2026
  29. Privacy-Accuracy Trade-offs in High-Dimensional LASSO under Perturbation Mechanisms2603.26227 · 27 Mar 2026
  30. Static and Dynamic Approaches to Computing Barycenters of Probability Measures on Graphs2603.26940 · 27 Mar 2026
  31. Parameter Estimation in Stochastic Differential Equations via Wiener Chaos Expansion and Stochastic Gradient Descent2603.27019 · 27 Mar 2026
  32. Overcoming the Incentive Collapse Paradox2603.27049 · 27 Mar 2026
  33. Online Statistical Inference of Constant Sample-averaged Q-Learning2603.26982 · 27 Mar 2026
  34. A Power-Weighted Noncentral Complex Gaussian Distribution2603.26344 · 27 Mar 2026
  35. tBayes-MICE: A Bayesian Approach to Multiple Imputation for Time Series Data2603.27142 · 28 Mar 2026
  36. On the Loss Landscape Geometry of Regularized Deep Matrix Factorization: Uniqueness and Sharpness2603.27072 · 28 Mar 2026
  37. Statistical Guarantees for Distributionally Robust Optimization with Optimal Transport and OT-Regularized Divergences2603.27871 · 29 Mar 2026
  38. Persistence diagrams of random matrices via Morse theory: universality and a new spectral diagnostic2603.27903 · 29 Mar 2026
  39. Energy Score-Guided Neural Gaussian Mixture Model for Predictive Uncertainty Quantification2603.27672 · 29 Mar 2026
  40. Functional Natural Policy Gradients2603.28681 · 30 Mar 2026
  41. LDDMM stochastic interpolants: an application to domain uncertainty quantification in hemodynamics2603.28324 · 30 Mar 2026
  42. Scaled Gradient Descent for Ill-Conditioned Low-Rank Matrix Recovery with Optimal Sampling Complexity2604.00060 · 31 Mar 2026
  43. Breaking Data Symmetry is Needed For Generalization in Feature Learning Kernels2604.00316 · 31 Mar 2026
  44. mlr3mbo: Bayesian Optimization in R2603.29730 · 31 Mar 2026
  45. Unbounded Density Ratio Estimation and Its Application to Covariate Shift Adaptation2603.29725 · 31 Mar 2026
  46. Forecast collapse of transformer-based models under squared loss in financial time series2604.00064 · 31 Mar 2026
  47. Denoising distances beyond the volumetric barrier2604.00432 · 1 Apr 2026
  48. Scenario theory for multi-criteria data-driven decision making2604.00553 · 1 Apr 2026
  49. Inverse-Free Sparse Variational Gaussian Processes2604.00697 · 1 Apr 2026
  50. Bridging Structured Knowledge and Data: A Unified Framework with Finance Applications2604.00987 · 1 Apr 2026
  51. Deconfounding Scores and Representation Learning for Causal Effect Estimation with Weak Overlap2604.00811 · 1 Apr 2026
  52. Random Coordinate Descent on the Wasserstein Space of Probability Measures2604.01606 · 2 Apr 2026
  53. A Novel Theoretical Analysis for Clustering Heteroscedastic Gaussian Data without Knowledge of the Number of Clusters2604.01943 · 2 Apr 2026
  54. Conformal Risk Control under Non-Monotone Losses: Theory and Finite-Sample Guarantees2604.01502 · 2 Apr 2026
  55. BVFLMSP : Bayesian Vertical Federated Learning for Multimodal Survival with Privacy2604.02248 · 2 Apr 2026
  56. Demographic Parity Tails for Regression2604.02017 · 2 Apr 2026
  57. Reinforcement Learning from Human Feedback: A Statistical Perspective2604.02507 · 2 Apr 2026
  58. Learning in Prophet Inequalities with Noisy Observations2604.01789 · 2 Apr 2026
  59. Learning interacting particle systems from unlabeled data2604.02581 · 2 Apr 2026
  60. Lipschitz bounds for integral kernels2604.02887 · 3 Apr 2026
  61. Nonparametric Regression Discontinuity Designs with Survival Outcomes2604.03502 · 3 Apr 2026
  62. Rethinking Forward Processes for Score-Based Nonlinear Data Assimilation in High Dimensions2604.02889 · 3 Apr 2026
  63. Characterization of Gaussian Universality Breakdown in High-Dimensional Empirical Risk Minimization2604.03146 · 3 Apr 2026
  64. Structure-Preserving Multi-View Embedding Using Gromov-Wasserstein Optimal Transport2604.02610 · 3 Apr 2026
  65. State estimations and noise identifications with intermittent corrupted observations via Bayesian variational inference2604.02738 · 3 Apr 2026
  66. Learning Nonlinear Regime Transitions via Semi-Parametric State-Space Models2604.04963 · 3 Apr 2026
  67. Inversion-Free Natural Gradient Descent on Riemannian Manifolds2604.02969 · 3 Apr 2026
  68. Transfer Learning for Meta-analysis Under Covariate Shift2604.02656 · 3 Apr 2026
  69. Identification and Inference in Nonlinear Dynamic Network Models2604.04961 · 3 Apr 2026
  70. The Generalised Kernel Covariance Measure2604.03721 · 4 Apr 2026
  71. Debiased Machine Learning for Conformal Prediction of Counterfactual Outcomes Under Runtime Confounding2604.03772 · 4 Apr 2026
  72. StrADiff: A Structured Source-Wise Adaptive Diffusion Framework for Linear and Nonlinear Blind Source Separation2604.04973 · 4 Apr 2026
  73. Sharp asymptotic theory for Q-learning with LDTZ learning rate and its generalization2604.04218 · 5 Apr 2026
  74. Biconvex Biclustering2604.03936 · 5 Apr 2026
  75. Avoiding Non-Integrable Beliefs in Expectation Propagation2604.04264 · 5 Apr 2026
  76. Nearly Optimal Best Arm Identification for Semiparametric Bandits2604.03969 · 5 Apr 2026
  77. The Hiremath Early Detection (HED) Score: A Measure-Theoretic Evaluation Standard for Temporal Intelligence2604.04993 · 5 Apr 2026
  78. A Muon-Accelerated Algorithm for Low Separation Rank Tensor Generalized Linear Models2604.04726 · 6 Apr 2026
  79. Generative Path-Law Jump-Diffusion: Sequential MMD-Gradient Flows and Generalisation Bounds in Marcus-Signature RKHS2604.05008 · 6 Apr 2026
  80. Generative Modeling under Non-Monotone MAR Missingness via Approximate Wasserstein Gradient Flows2604.04567 · 6 Apr 2026
  81. Noisy Nonreciprocal Pairwise Comparisons: Scale Variation, Noise Calibration, and Admissible Ranking Regions2604.04588 · 6 Apr 2026
  82. Generalization error bounds for two-layer neural networks with Lipschitz loss function2604.06281 · 7 Apr 2026
  83. MEC: Machine-Learning-Assisted Generalized Entropy Calibration for Semi-Supervised Mean Estimation2604.05446 · 7 Apr 2026
  84. NS-RGS: Newton-Schulz based Riemannian gradient method for orthogonal group synchronization2604.07372 · 7 Apr 2026
  85. Hierarchical Contrastive Learning for Multimodal Data2604.05462 · 7 Apr 2026
  86. Ensemble-Based Dirichlet Modeling for Predictive Uncertainty and Selective Classification2604.06032 · 7 Apr 2026
  87. Efficient machine unlearning with minimax optimality2604.05669 · 7 Apr 2026
  88. Individual-heterogeneous sub-Gaussian Mixture Models2604.05337 · 7 Apr 2026
  89. Tight Convergence Rates for Online Distributed Linear Estimation with Adversarial Measurements2604.06282 · 7 Apr 2026
  90. The Theory and Practice of Highly Scalable Gaussian Process Regression with Nearest Neighbours2604.07267 · 8 Apr 2026
  91. FLUID: Flow-based Unified Inference for Dynamics2604.07169 · 8 Apr 2026
  92. Gaussian Approximation for Asynchronous Q-learning2604.07323 · 8 Apr 2026
  93. A Data-Informed Variational Clustering Framework for Noisy High-Dimensional Data2604.06864 · 8 Apr 2026
  94. Variational Approximated Restricted Maximum Likelihood Estimation for Spatial Data2604.07635 · 8 Apr 2026
  95. Sparse $ε$ insensitive zone bounded asymmetric elastic net support vector machines for pattern classification2604.07748 · 9 Apr 2026
  96. The Condition-Number Principle for Prototype Clustering2604.07744 · 9 Apr 2026
  97. Differentially Private Language Generation and Identification in the Limit2604.08504 · 9 Apr 2026
  98. Policy-Aware Design of Large-Scale Factorial Experiments2604.08804 · 9 Apr 2026
  99. Intensity Dot Product Graphs2604.07810 · 9 Apr 2026
  100. Order-Optimal Sequential 1-Bit Mean Estimation in General Tail Regimes2604.07796 · 9 Apr 2026