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Statistics, Machine Learning papers, 2024-08-01 to 2025-01-31

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
925
Collected
31 Aug 2026

Papers

  1. Transfer learning via Regularized Linear Discriminant Analysis2501.02411 · 5 Jan 2025
  2. Classifier Weighted Mixture models2501.02989 · 6 Jan 2025
  3. A Bayesian Approach for Discovering Time- Delayed Differential Equation from Data2501.02934 · 6 Jan 2025
  4. Group Shapley with Robust Significance Testing and Its Application to Bond Recovery Rate Prediction2501.03041 · 6 Jan 2025
  5. A Point Process Model for Optimizing Repeated Personalized Action Delivery to Users2501.02961 · 6 Jan 2025
  6. NeuroPMD: Neural Fields for Density Estimation on Product Manifolds2501.02994 · 6 Jan 2025
  7. Beyond $\mathcal{O}(\sqrt{T})$ Regret: Decoupling Learning and Decision-making in Online Linear Programming2501.02761 · 6 Jan 2025
  8. Mixing Times and Privacy Analysis for the Projected Langevin Algorithm under a Modulus of Continuity2501.04134 · 7 Jan 2025
  9. The Choice of Normalization Influences Shrinkage in Regularized Regression2501.03821 · 7 Jan 2025
  10. Generation from Noisy Examples2501.04179 · 7 Jan 2025
  11. Structure-Preference Enabled Graph Embedding Generation under Differential Privacy2501.03451 · 7 Jan 2025
  12. Deep Transfer $Q$-Learning for Offline Non-Stationary Reinforcement Learning2501.04870 · 8 Jan 2025
  13. Circuit Complexity Bounds for Visual Autoregressive Model2501.04299 · 8 Jan 2025
  14. Toward Sufficient Statistical Power in Algorithmic Bias Assessment: A Test for ABROCA2501.04683 · 8 Jan 2025
  15. Statistical Uncertainty Quantification for Aggregate Performance Metrics in Machine Learning Benchmarks2501.04234 · 8 Jan 2025
  16. On weight and variance uncertainty in neural networks for regression tasks2501.04272 · 8 Jan 2025
  17. Interpretable deep convolutional model for nonlinear multivariate time series in complex systems2501.04339 · 8 Jan 2025
  18. RieszBoost: Gradient Boosting for Riesz Regression2501.04871 · 8 Jan 2025
  19. Natural Variational Annealing for Multimodal Optimization2501.04667 · 8 Jan 2025
  20. Non-asymptotic analysis of the performance of the penalized least trimmed squares in sparse models2501.04946 · 9 Jan 2025
  21. Analyzing decision tree bias towards the minority class2501.04903 · 9 Jan 2025
  22. Optimality and Adaptivity of Deep Neural Features for Instrumental Variable Regression2501.04898 · 9 Jan 2025
  23. Supervised Learning with Evolving Tasks and Performance Guarantees2501.05089 · 9 Jan 2025
  24. Robust Score Matching2501.05105 · 9 Jan 2025
  25. Outlyingness Scores with Cluster Catch Digraphs2501.05530 · 9 Jan 2025
  26. Covariate Dependent Mixture of Bayesian Networks2501.05745 · 10 Jan 2025
  27. Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing2501.06366 · 10 Jan 2025
  28. Computational and Statistical Asymptotic Analysis of the JKO Scheme for Iterative Algorithms to update distributions2501.06408 · 11 Jan 2025
  29. Dynamic Causal Structure Discovery and Causal Effect Estimation2501.06534 · 11 Jan 2025
  30. Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age2501.06868 · 12 Jan 2025
  31. Semiparametric Double Reinforcement Learning with Applications to Long-Term Causal Inference2501.06926 · 12 Jan 2025
  32. Pairwise Comparisons without Stochastic Transitivity: Model, Theory and Applications2501.07437 · 13 Jan 2025
  33. Gaussian Universality for Diffusion Models2501.07741 · 13 Jan 2025
  34. A User's Guide to $\texttt{KSig}$: GPU-Accelerated Computation of the Signature Kernel2501.07145 · 13 Jan 2025
  35. Synthesis and Analysis of Data as Probability Measures with Entropy-Regularized Optimal Transport2501.07446 · 13 Jan 2025
  36. Differentially Private Kernelized Contextual Bandits2501.07046 · 13 Jan 2025
  37. LiLaN: A Linear Latent Network as the Solution Operator for Real-Time Solutions to Stiff Nonlinear Ordinary Differential Equations2501.08423 · 14 Jan 2025
  38. On the Statistical Capacity of Deep Generative Models2501.07763 · 14 Jan 2025
  39. Globally Convergent Variational Inference2501.08201 · 14 Jan 2025
  40. Avoiding subtraction and division of stochastic signals using normalizing flows: NFdeconvolve2501.08288 · 14 Jan 2025
  41. On the use of Statistical Learning Theory for model selection in Structural Health Monitoring2501.08050 · 14 Jan 2025
  42. A Theory of Optimistically Universal Online Learnability for General Concept Classes2501.08551 · 15 Jan 2025
  43. Estimating shared subspace with AJIVE: the power and limitation of multiple data matrices2501.09336 · 16 Jan 2025
  44. On the convergence rate of noisy Bayesian Optimization with Expected Improvement2501.09262 · 16 Jan 2025
  45. Predictions as Surrogates: Revisiting Surrogate Outcomes in the Age of AI2501.09731 · 16 Jan 2025
  46. Tracking student skills real-time through a continuous-variable dynamic Bayesian network2501.10050 · 17 Jan 2025
  47. Extension of Symmetrized Neural Network Operators with Fractional and Mixed Activation Functions2501.10496 · 17 Jan 2025
  48. Amortized Bayesian Mixture Models2501.10229 · 17 Jan 2025
  49. SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules2501.09900 · 17 Jan 2025
  50. DPERC: Direct Parameter Estimation for Mixed Data2501.10540 · 17 Jan 2025
  51. Contributions to the Decision Theoretic Foundations of Machine Learning and Robust Statistics under Weakly Structured Information2501.10195 · 17 Jan 2025
  52. Simulation of Random LR Fuzzy Intervals2501.10482 · 17 Jan 2025
  53. Statistical Inference for Sequential Feature Selection after Domain Adaptation2501.09933 · 17 Jan 2025
  54. A Unified Comparative Study with Generalized Conformity Scores for Multi-Output Conformal Regression2501.10533 · 17 Jan 2025
  55. Provably Safeguarding a Classifier from OOD and Adversarial Samples: an Extreme Value Theory Approach2501.10202 · 17 Jan 2025
  56. Certifying Robustness via Topological Representations2501.10876 · 18 Jan 2025
  57. Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer2501.10870 · 18 Jan 2025
  58. Issues with Neural Tangent Kernel Approach to Neural Networks2501.10929 · 19 Jan 2025
  59. Conditional Feature Importance with Generative Modeling Using Adversarial Random Forests2501.11178 · 19 Jan 2025
  60. Community Detection for Contextual-LSBM: Theoretical Limitations of Misclassification Rate and Efficient Algorithms2501.11139 · 19 Jan 2025
  61. Can Bayesian Neural Networks Make Confident Predictions?2501.11773 · 20 Jan 2025
  62. Beyond R-barycenters: an effective averaging method on Stiefel and Grassmann manifolds2501.11555 · 20 Jan 2025
  63. Quantitative Error Bounds for Scaling Limits of Stochastic Iterative Algorithms2501.12212 · 21 Jan 2025
  64. Dual NUP Representations and Min-Maximization in Factor Graphs2501.12113 · 21 Jan 2025
  65. A note on the relations between mixture models, maximum-likelihood and entropic optimal transport2501.12005 · 21 Jan 2025
  66. Heterogeneous Multi-Player Multi-Armed Bandits Robust To Adversarial Attacks2501.17882 · 21 Jan 2025
  67. Sublinear Variational Optimization of Gaussian Mixture Models with Millions to Billions of Parameters2501.12299 · 21 Jan 2025
  68. Uncertainty Quantification With Noise Injection in Neural Networks: A Bayesian Perspective2501.12314 · 21 Jan 2025
  69. Ultralow-dimensionality reduction for identifying critical transitions by spatial-temporal PCA2501.12582 · 22 Jan 2025
  70. On Generalization and Distributional Update for Mimicking Observations with Adequate Exploration2501.12785 · 22 Jan 2025
  71. Singular leaning coefficients and efficiency in learning theory2501.12747 · 22 Jan 2025
  72. Fixed-Budget Change Point Identification in Piecewise Constant Bandits2501.12957 · 22 Jan 2025
  73. Low-dimensional adaptation of diffusion models: Convergence in total variation2501.12982 · 22 Jan 2025
  74. Sequential Change Point Detection via Denoising Score Matching2501.12667 · 22 Jan 2025
  75. A dimensionality reduction technique based on the Gromov-Wasserstein distance2501.13732 · 23 Jan 2025
  76. LITE: Efficiently Estimating Gaussian Probability of Maximality2501.13535 · 23 Jan 2025
  77. Robust Amortized Bayesian Inference with Self-Consistency Losses on Unlabeled Data2501.13483 · 23 Jan 2025
  78. Learning under Commission and Omission Event Outliers2501.13599 · 23 Jan 2025
  79. EFiGP: Eigen-Fourier Physics-Informed Gaussian Process for Inference of Dynamic Systems2501.14107 · 23 Jan 2025
  80. Optimal Transport Barycenter via Nonconvex-Concave Minimax Optimization2501.14635 · 24 Jan 2025
  81. Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective2501.14710 · 24 Jan 2025
  82. Distributionally Robust Coreset Selection under Covariate Shift2501.14253 · 24 Jan 2025
  83. Explaining Categorical Feature Interactions Using Graph Covariance and LLMs2501.14932 · 24 Jan 2025
  84. Statistical Verification of Linear Classifiers2501.14430 · 24 Jan 2025
  85. Conformal Inference of Individual Treatment Effects Using Conditional Density Estimates2501.14933 · 24 Jan 2025
  86. coverforest: Conformal Predictions with Random Forest in Python2501.14570 · 24 Jan 2025
  87. A Review on Self-Supervised Learning for Time Series Anomaly Detection: Recent Advances and Open Challenges2501.15196 · 25 Jan 2025
  88. Median of Forests for Robust Density Estimation2501.15157 · 25 Jan 2025
  89. I-trustworthy Models. A framework for trustworthiness evaluation of probabilistic classifiers2501.15617 · 26 Jan 2025
  90. Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths2501.15522 · 26 Jan 2025
  91. A Unified Information-Theoretic Framework for Meta-Learning Generalization2501.15559 · 26 Jan 2025
  92. The Effect of Optimal Self-Distillation in Noisy Gaussian Mixture Model2501.16226 · 27 Jan 2025
  93. Value-oriented forecast reconciliation for renewables in electricity markets2501.16086 · 27 Jan 2025
  94. Nonparametric Sparse Online Learning of the Koopman Operator2501.16489 · 27 Jan 2025
  95. SAPPHIRE: Preconditioned Stochastic Variance Reduction for Faster Large-Scale Statistical Learning2501.15941 · 27 Jan 2025
  96. Measuring Heterogeneity in Machine Learning with Distributed Energy Distance2501.16174 · 27 Jan 2025
  97. Scale-Insensitive Neural Network Significance Tests2501.15753 · 27 Jan 2025
  98. Near-Optimal Algorithms for Omniprediction2501.17205 · 28 Jan 2025
  99. Exponential Family Attention2501.16790 · 28 Jan 2025
  100. Testing Conditional Mean Independence Using Generative Neural Networks2501.17345 · 28 Jan 2025