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Statistics, Machine Learning papers, 2024-10-01 to 2025-03-31

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
1,069
Collected
31 Aug 2026

Papers

  1. Adaptive Conformal Inference by Betting2412.19318 · 26 Dec 2024
  2. Neural Networks Perform Sufficient Dimension Reduction2412.19033 · 26 Dec 2024
  3. Low-Rank Contextual Reinforcement Learning from Heterogeneous Human Feedback2412.19436 · 27 Dec 2024
  4. Learning to Forget: Bayesian Time Series Forecasting using Recurrent Sparse Spectrum Signature Gaussian Processes2412.19727 · 27 Dec 2024
  5. Surrogate Modeling for Explainable Predictive Time Series Corrections2412.19897 · 27 Dec 2024
  6. Deep ReLU networks -- injectivity capacity upper bounds2412.19677 · 27 Dec 2024
  7. Causal machine learning for heterogeneous treatment effects in the presence of missing outcome data2412.19711 · 27 Dec 2024
  8. Deep Continuous-Time State-Space Models for Marked Event Sequences2412.19634 · 27 Dec 2024
  9. Asymptotically Optimal Search for a Change Point Anomaly under a Composite Hypothesis Model2412.19392 · 27 Dec 2024
  10. A new approach to locally adaptive polynomial regression2412.19802 · 27 Dec 2024
  11. Deep Generalized Schrödinger Bridges: From Image Generation to Solving Mean-Field Games2412.20279 · 28 Dec 2024
  12. Confidence Interval Construction and Conditional Variance Estimation with Dense ReLU Networks2412.20355 · 29 Dec 2024
  13. Testing and Improving the Robustness of Amortized Bayesian Inference for Cognitive Models2412.20586 · 29 Dec 2024
  14. Distributionally Robust Optimization via Iterative Algorithms in Continuous Probability Spaces2412.20556 · 29 Dec 2024
  15. Matrix Concentration for Random Signed Graphs and Community Recovery in the Signed Stochastic Block Model2412.20620 · 29 Dec 2024
  16. Post Launch Evaluation of Policies in a High-Dimensional Setting2501.00119 · 30 Dec 2024
  17. Uncertainty-Aware Out-of-Distribution Detection with Gaussian Processes2412.20918 · 30 Dec 2024
  18. Towards Reliable Recommender Systems for Rating Data2412.20802 · 30 Dec 2024
  19. Soft Diamond Regularizers for Deep Learning2412.20724 · 30 Dec 2024
  20. Efficient Human-in-the-Loop Active Learning: A Novel Framework for Data Labeling in AI Systems2501.00277 · 31 Dec 2024
  21. Different thresholding methods on Nearest Shrunken Centroid algorithm2501.00632 · 31 Dec 2024
  22. An AI-powered Bayesian generative modeling approach for causal inference in observational studies2501.00755 · 1 Jan 2025
  23. Ensuring superior learning outcomes and data security for authorized learner2501.00754 · 1 Jan 2025
  24. Assessing the Distributional Fidelity of Synthetic Chest X-rays using the Embedded Characteristic Score2501.00744 · 1 Jan 2025
  25. On the Implementation of a Bayesian Optimization Framework for Interconnected Systems2501.00967 · 1 Jan 2025
  26. Learning Spectral Methods by Transformers2501.01312 · 2 Jan 2025
  27. Deep Discrete Encoders: Identifiable Deep Generative Models for Rich Data with Discrete Latent Layers2501.01414 · 2 Jan 2025
  28. Guaranteed Nonconvex Low-Rank Tensor Estimation via Scaled Gradient Descent2501.01696 · 3 Jan 2025
  29. Modeling COVID-19 spread in the USA using metapopulation SIR models coupled with graph convolutional neural networks2501.02043 · 3 Jan 2025
  30. Unified Native Spaces in Kernel Methods2501.01825 · 3 Jan 2025
  31. Signal Recovery Using a Spiked Mixture Model2501.01840 · 3 Jan 2025
  32. ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification2501.14785 · 4 Jan 2025
  33. Beyond Log-Concavity and Score Regularity: Improved Convergence Bounds for Score-Based Generative Models in W2-distance2501.02298 · 4 Jan 2025
  34. A Training-free Method for LLM Text Attribution2501.02406 · 4 Jan 2025
  35. Majorization-Minimization Dual Stagewise Algorithm for Generalized Lasso2501.02197 · 4 Jan 2025
  36. Robust Multi-Dimensional Scaling via Accelerated Alternating Projections2501.02208 · 4 Jan 2025
  37. Transfer learning via Regularized Linear Discriminant Analysis2501.02411 · 5 Jan 2025
  38. Transformers Simulate MLE for Sequence Generation in Bayesian Networks2501.02547 · 5 Jan 2025
  39. Re-examining Granger Causality with Causal Bayesian Networks and Reichenbachs Principles2501.02672 · 5 Jan 2025
  40. A Statistical Hypothesis Testing Framework for Data Misappropriation Detection in Large Language Models2501.02441 · 5 Jan 2025
  41. NeuroPMD: Neural Fields for Density Estimation on Product Manifolds2501.02994 · 6 Jan 2025
  42. Beyond $\mathcal{O}(\sqrt{T})$ Regret: Decoupling Learning and Decision-making in Online Linear Programming2501.02761 · 6 Jan 2025
  43. Classifier Weighted Mixture models2501.02989 · 6 Jan 2025
  44. Group Shapley with Robust Significance Testing and Its Application to Bond Recovery Rate Prediction2501.03041 · 6 Jan 2025
  45. A Bayesian Approach for Discovering Time- Delayed Differential Equation from Data2501.02934 · 6 Jan 2025
  46. A Point Process Model for Optimizing Repeated Personalized Action Delivery to Users2501.02961 · 6 Jan 2025
  47. Mixing Times and Privacy Analysis for the Projected Langevin Algorithm under a Modulus of Continuity2501.04134 · 7 Jan 2025
  48. The Choice of Normalization Influences Shrinkage in Regularized Regression2501.03821 · 7 Jan 2025
  49. Structure-Preference Enabled Graph Embedding Generation under Differential Privacy2501.03451 · 7 Jan 2025
  50. Generation from Noisy Examples2501.04179 · 7 Jan 2025
  51. Circuit Complexity Bounds for Visual Autoregressive Model2501.04299 · 8 Jan 2025
  52. Toward Sufficient Statistical Power in Algorithmic Bias Assessment: A Test for ABROCA2501.04683 · 8 Jan 2025
  53. Deep Transfer $Q$-Learning for Offline Non-Stationary Reinforcement Learning2501.04870 · 8 Jan 2025
  54. Statistical Uncertainty Quantification for Aggregate Performance Metrics in Machine Learning Benchmarks2501.04234 · 8 Jan 2025
  55. RieszBoost: Gradient Boosting for Riesz Regression2501.04871 · 8 Jan 2025
  56. Interpretable deep convolutional model for nonlinear multivariate time series in complex systems2501.04339 · 8 Jan 2025
  57. Natural Variational Annealing for Multimodal Optimization2501.04667 · 8 Jan 2025
  58. On weight and variance uncertainty in neural networks for regression tasks2501.04272 · 8 Jan 2025
  59. Robust Score Matching2501.05105 · 9 Jan 2025
  60. Analyzing decision tree bias towards the minority class2501.04903 · 9 Jan 2025
  61. Non-asymptotic analysis of the performance of the penalized least trimmed squares in sparse models2501.04946 · 9 Jan 2025
  62. Optimality and Adaptivity of Deep Neural Features for Instrumental Variable Regression2501.04898 · 9 Jan 2025
  63. Outlyingness Scores with Cluster Catch Digraphs2501.05530 · 9 Jan 2025
  64. Supervised Learning with Evolving Tasks and Performance Guarantees2501.05089 · 9 Jan 2025
  65. Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing2501.06366 · 10 Jan 2025
  66. Covariate Dependent Mixture of Bayesian Networks2501.05745 · 10 Jan 2025
  67. Dynamic Causal Structure Discovery and Causal Effect Estimation2501.06534 · 11 Jan 2025
  68. Computational and Statistical Asymptotic Analysis of the JKO Scheme for Iterative Algorithms to update distributions2501.06408 · 11 Jan 2025
  69. Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age2501.06868 · 12 Jan 2025
  70. Semiparametric Double Reinforcement Learning with Applications to Long-Term Causal Inference2501.06926 · 12 Jan 2025
  71. A User's Guide to $\texttt{KSig}$: GPU-Accelerated Computation of the Signature Kernel2501.07145 · 13 Jan 2025
  72. Synthesis and Analysis of Data as Probability Measures with Entropy-Regularized Optimal Transport2501.07446 · 13 Jan 2025
  73. Pairwise Comparisons without Stochastic Transitivity: Model, Theory and Applications2501.07437 · 13 Jan 2025
  74. Differentially Private Kernelized Contextual Bandits2501.07046 · 13 Jan 2025
  75. Gaussian Universality for Diffusion Models2501.07741 · 13 Jan 2025
  76. On the use of Statistical Learning Theory for model selection in Structural Health Monitoring2501.08050 · 14 Jan 2025
  77. Globally Convergent Variational Inference2501.08201 · 14 Jan 2025
  78. On the Statistical Capacity of Deep Generative Models2501.07763 · 14 Jan 2025
  79. LiLaN: A Linear Latent Network as the Solution Operator for Real-Time Solutions to Stiff Nonlinear Ordinary Differential Equations2501.08423 · 14 Jan 2025
  80. Avoiding subtraction and division of stochastic signals using normalizing flows: NFdeconvolve2501.08288 · 14 Jan 2025
  81. A Theory of Optimistically Universal Online Learnability for General Concept Classes2501.08551 · 15 Jan 2025
  82. Estimating shared subspace with AJIVE: the power and limitation of multiple data matrices2501.09336 · 16 Jan 2025
  83. On the convergence rate of noisy Bayesian Optimization with Expected Improvement2501.09262 · 16 Jan 2025
  84. Predictions as Surrogates: Revisiting Surrogate Outcomes in the Age of AI2501.09731 · 16 Jan 2025
  85. SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules2501.09900 · 17 Jan 2025
  86. Simulation of Random LR Fuzzy Intervals2501.10482 · 17 Jan 2025
  87. Contributions to the Decision Theoretic Foundations of Machine Learning and Robust Statistics under Weakly Structured Information2501.10195 · 17 Jan 2025
  88. A Unified Comparative Study with Generalized Conformity Scores for Multi-Output Conformal Regression2501.10533 · 17 Jan 2025
  89. Provably Safeguarding a Classifier from OOD and Adversarial Samples: an Extreme Value Theory Approach2501.10202 · 17 Jan 2025
  90. Extension of Symmetrized Neural Network Operators with Fractional and Mixed Activation Functions2501.10496 · 17 Jan 2025
  91. DPERC: Direct Parameter Estimation for Mixed Data2501.10540 · 17 Jan 2025
  92. Statistical Inference for Sequential Feature Selection after Domain Adaptation2501.09933 · 17 Jan 2025
  93. Tracking student skills real-time through a continuous-variable dynamic Bayesian network2501.10050 · 17 Jan 2025
  94. Amortized Bayesian Mixture Models2501.10229 · 17 Jan 2025
  95. Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer2501.10870 · 18 Jan 2025
  96. Certifying Robustness via Topological Representations2501.10876 · 18 Jan 2025
  97. Conditional Feature Importance with Generative Modeling Using Adversarial Random Forests2501.11178 · 19 Jan 2025
  98. Community Detection for Contextual-LSBM: Theoretical Limitations of Misclassification Rate and Efficient Algorithms2501.11139 · 19 Jan 2025
  99. Issues with Neural Tangent Kernel Approach to Neural Networks2501.10929 · 19 Jan 2025
  100. Beyond R-barycenters: an effective averaging method on Stiefel and Grassmann manifolds2501.11555 · 20 Jan 2025