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Statistics, Machine Learning papers, 2025-05-01 to 2025-10-31

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
1,192
Collected
31 Aug 2026

Papers

  1. Copula Discrepancy: Benchmarking Dependence Structure2507.21434 · 29 Jul 2025
  2. A Unified Analysis of Generalization and Sample Complexity for Semi-Supervised Domain Adaptation2507.22632 · 30 Jul 2025
  3. A Smoothing Newton Method for Rank-one Matrix Recovery2507.23017 · 30 Jul 2025
  4. Consistency of Feature Attribution in Deep Learning Architectures for Multi-Omics2507.22877 · 30 Jul 2025
  5. LVM-GP: Uncertainty-Aware PDE Solver via coupling latent variable model and Gaussian process2507.22493 · 30 Jul 2025
  6. Tricks and Plug-ins for Gradient Boosting in Image Classification2507.22842 · 30 Jul 2025
  7. DICOM De-Identification via Hybrid AI and Rule-Based Framework for Scalable, Uncertainty-Aware Redaction2507.23736 · 31 Jul 2025
  8. funOCLUST: Clustering Functional Data with Outliers2508.00110 · 31 Jul 2025
  9. Optimal Transport Learning: Balancing Value Optimization and Fairness in Individualized Treatment Rules2507.23349 · 31 Jul 2025
  10. Closed-Form Beta Distribution Estimation from Sparse Statistics with Random Forest Implicit Regularization2507.23767 · 31 Jul 2025
  11. Formal Bayesian Transfer Learning via the Total Risk Prior2507.23768 · 31 Jul 2025
  12. Inequalities for Optimization of Classification Algorithms: A Perspective Motivated by Diagnostic Testing2508.01065 · 1 Aug 2025
  13. Sinusoidal Approximation Theorem for Kolmogorov-Arnold Networks2508.00247 · 1 Aug 2025
  14. Random Walk Learning and the Pac-Man Attack2508.05663 · 1 Aug 2025
  15. Flow IV: Counterfactual Inference In Nonseparable Outcome Models Using Instrumental Variables2508.01321 · 2 Aug 2025
  16. Uncertainty Quantification for Large-Scale Deep Networks via Post-StoNet Modeling2508.01217 · 2 Aug 2025
  17. Debiasing Machine Learning Predictions for Causal Inference Without Additional Ground Truth Data: "One Map, Many Trials" in Satellite-Driven Poverty Analysis2508.01341 · 2 Aug 2025
  18. Efficient optimization of expensive black-box simulators via marginal means, with application to neutrino detector design2508.01834 · 3 Aug 2025
  19. Structure Maintained Representation Learning Neural Network for Causal Inference2508.01865 · 3 Aug 2025
  20. Fast Gaussian process inference by exact Matérn kernel decomposition2508.01864 · 3 Aug 2025
  21. Hedging with memory: shallow and deep learning with signatures2508.02759 · 3 Aug 2025
  22. Trustworthy scientific inference with generative models2508.02602 · 4 Aug 2025
  23. Comparing Generative Models with the New Physics Learning Machine2508.02275 · 4 Aug 2025
  24. Likelihood Matching for Diffusion Models2508.03636 · 5 Aug 2025
  25. Supervised Dynamic Dimension Reduction with Deep Neural Network2508.03546 · 5 Aug 2025
  26. On Experiments2508.08288 · 5 Aug 2025
  27. A Dual Optimization View to Empirical Risk Minimization with f-Divergence Regularization2508.03314 · 5 Aug 2025
  28. Reliable Programmatic Weak Supervision with Confidence Intervals for Label Probabilities2508.03896 · 5 Aug 2025
  29. Learning quadratic neural networks in high dimensions: SGD dynamics and scaling laws2508.03688 · 5 Aug 2025
  30. Reinforcement Learning in MDPs with Information-Ordered Policies2508.03904 · 5 Aug 2025
  31. The Cosine Schedule is Fisher-Rao-Optimal for Masked Discrete Diffusion Models2508.04884 · 6 Aug 2025
  32. The Relative Instability of Model Comparison with Cross-validation2508.04409 · 6 Aug 2025
  33. Metric Learning in an RKHS2508.04476 · 6 Aug 2025
  34. Benchmarking Uncertainty and its Disentanglement in multi-label Chest X-Ray Classification2508.04457 · 6 Aug 2025
  35. Deep Neural Network-Driven Adaptive Filtering2508.04258 · 6 Aug 2025
  36. Differentially Private Model-X Knockoffs via Johnson-Lindenstrauss Transform2508.04800 · 6 Aug 2025
  37. Negative binomial regression and inference using a pre-trained transformer2508.04111 · 6 Aug 2025
  38. Reduction Techniques for Survival Analysis2508.05715 · 7 Aug 2025
  39. High-Order Error Bounds for Markovian LSA with Richardson-Romberg Extrapolation2508.05570 · 7 Aug 2025
  40. L1-Regularized Functional Support Vector Machine2508.05567 · 7 Aug 2025
  41. High-Dimensional Differentially Private Quantile Regression: Distributed Estimation and Statistical Inference2508.05212 · 7 Aug 2025
  42. Stochastic Trace Optimization of Parameter Dependent Matrices Based on Statistical Learning Theory2508.05764 · 7 Aug 2025
  43. Federated Online Learning for Heterogeneous Multisource Streaming Data2508.06652 · 8 Aug 2025
  44. Decorrelated feature importance from local sample weighting2508.06337 · 8 Aug 2025
  45. DP-SPRT: Differentially Private Sequential Probability Ratio Tests2508.06377 · 8 Aug 2025
  46. Lightweight Auto-bidding based on Traffic Prediction in Live Advertising2508.06069 · 8 Aug 2025
  47. Statistical Inference for Autoencoder-based Anomaly Detection after Representation Learning-based Domain Adaptation2508.07049 · 9 Aug 2025
  48. MOCA-HESP: Meta High-dimensional Bayesian Optimization for Combinatorial and Mixed Spaces via Hyper-ellipsoid Partitioning2508.06847 · 9 Aug 2025
  49. Membership Inference Attacks with False Discovery Rate Control2508.07066 · 9 Aug 2025
  50. Stochastic dynamics learning with state-space systems2508.07876 · 11 Aug 2025
  51. Meta Off-Policy Estimation2508.07914 · 11 Aug 2025
  52. Likelihood Ratio Tests by Kernel Gaussian Embedding2508.07982 · 11 Aug 2025
  53. Gaussian Approximation for Two-Timescale Linear Stochastic Approximation2508.07928 · 11 Aug 2025
  54. Projection-based multifidelity linear regression for data-scarce applications2508.08517 · 11 Aug 2025
  55. Distributional Sensitivity Analysis: Enabling Differentiability in Sample-Based Inference2508.09347 · 12 Aug 2025
  56. Hierarchical Variable Importance with Statistical Control for Medical Data-Based Prediction2508.08724 · 12 Aug 2025
  57. In-Context Learning as Nonparametric Conditional Probability Estimation: Risk Bounds and Optimality2508.08673 · 12 Aug 2025
  58. Bio-Inspired Artificial Neural Networks based on Predictive Coding2508.08762 · 12 Aug 2025
  59. Prediction-Powered Inference with Inverse Probability Weighting2508.10149 · 13 Aug 2025
  60. A pseudo-inverse of a line graph2508.09412 · 13 Aug 2025
  61. Mo' Memory, Mo' Problems: Stream-Native Machine Unlearning2508.10193 · 13 Aug 2025
  62. Structured Kernel Regression VAE: A Computationally Efficient Surrogate for GP-VAEs in ICA2508.09721 · 13 Aug 2025
  63. Non-asymptotic convergence bound of conditional diffusion models2508.10944 · 13 Aug 2025
  64. Scalable h-adaptive probabilistic solver for time-independent and time-dependent systems2508.09623 · 13 Aug 2025
  65. Dimension-Free Bounds for Generalized First-Order Methods via Gaussian Coupling2508.10782 · 14 Aug 2025
  66. An Iterative Algorithm for Differentially Private $k$-PCA with Adaptive Noise2508.10879 · 14 Aug 2025
  67. Conic Formulations of Transport Metrics for Unbalanced Measure Networks and Hypernetworks2508.10888 · 14 Aug 2025
  68. Counterfactual Survival Q-learning via Buckley-James Boosting, with Applications to ACTG 175 and CALGB 89232508.11060 · 14 Aug 2025
  69. Nonparametric learning of stochastic differential equations from sparse and noisy data2508.11597 · 15 Aug 2025
  70. Uniform convergence for Gaussian kernel ridge regression2508.11274 · 15 Aug 2025
  71. Preference Models assume Proportional Hazards of Utilities2508.13189 · 15 Aug 2025
  72. ADMIRE-BayesOpt: Accelerated Data MIxture RE-weighting for Language Models with Bayesian Optimization2508.11551 · 15 Aug 2025
  73. BaMANI: Bayesian Multi-Algorithm causal Network Inference2508.11741 · 15 Aug 2025
  74. Robust Data Fusion via Subsampling2508.12048 · 16 Aug 2025
  75. Dropping Just a Handful of Preferences Can Change Top Large Language Model Rankings2508.11847 · 16 Aug 2025
  76. An Introduction to Sliced Optimal Transport2508.12519 · 17 Aug 2025
  77. Flow Matching for Efficient and Scalable Data Assimilation2508.13313 · 18 Aug 2025
  78. Shapley Values: Paired-Sampling Approximations2508.12947 · 18 Aug 2025
  79. Unfolded Laplacian Spectral Embedding: A Theoretically Grounded Approach to Dynamic Network Representation2508.12674 · 18 Aug 2025
  80. On computing and the complexity of computing higher-order $U$-statistics, exactly2508.12627 · 18 Aug 2025
  81. Structural Foundations for Leading Digit Laws: Beyond Probabilistic Mixtures2508.13237 · 18 Aug 2025
  82. Simulation-Based Inference: A Practical Guide2508.12939 · 18 Aug 2025
  83. Optimal Condition for Initialization Variance in Deep Neural Networks: An SGD Dynamics Perspective2508.12834 · 18 Aug 2025
  84. The path to a goal: Understanding soccer possessions via path signatures2508.12930 · 18 Aug 2025
  85. Generalisation and benign over-fitting for linear regression onto random functional covariates2508.13895 · 19 Aug 2025
  86. A PC Algorithm for Max-Linear Bayesian Networks2508.13967 · 19 Aug 2025
  87. Smooth Flow Matching for Synthesizing Functional Data2508.13831 · 19 Aug 2025
  88. Online Conformal Selection with Accept-to-Reject Changes2508.13838 · 19 Aug 2025
  89. Uncertainty-Aware PCA for Arbitrarily Distributed Data Modeled by Gaussian Mixture Models2508.13990 · 19 Aug 2025
  90. Comparing Model-agnostic Feature Selection Methods through Relative Efficiency2508.14268 · 19 Aug 2025
  91. The C-index Multiverse2508.14821 · 20 Aug 2025
  92. Kernel-based Equalized Odds: A Quantification of Accuracy-Fairness Trade-off in Fair Representation Learning2508.15084 · 20 Aug 2025
  93. Evaluation and Optimization of Leave-one-out Cross-validation for the Lasso2508.14368 · 20 Aug 2025
  94. Interpretable Kernels2508.15932 · 21 Aug 2025
  95. Bayesian Optimization with Expected Improvement: No Regret and the Choice of Incumbent2508.15674 · 21 Aug 2025
  96. Bayesian Inference and Learning in Nonlinear Dynamical Systems: A Framework for Incorporating Explicit and Implicit Prior Knowledge2508.15345 · 21 Aug 2025
  97. Tree-like Pairwise Interaction Networks2508.15678 · 21 Aug 2025
  98. A Sharp KL-Convergence Analysis for Diffusion Models under Minimal Assumptions2508.16306 · 22 Aug 2025
  99. Underdamped Langevin MCMC with third order convergence2508.16485 · 22 Aug 2025
  100. Optimal Dynamic Regret by Transformers for Non-Stationary Reinforcement Learning2508.16027 · 22 Aug 2025