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

Papers

1. Inference for max-linear Bayesian networks with noise2505.00229 · 1 May 2025
2. Bayes-Optimal Fair Classification with Multiple Sensitive Features2505.00631 · 1 May 2025
3. Statistical Learning for Heterogeneous Treatment Effects: Pretraining, Prognosis, and Prediction2505.00310 · 1 May 2025
4. Reinforcement Learning with Continuous Actions Under Unmeasured Confounding2505.00304 · 1 May 2025
5. On the emergence of numerical instabilities in Next Generation Reservoir Computing2505.00846 · 1 May 2025
6. Discovery and inference beyond linearity for epidemiological data by integrating Bayesian regression, tree ensembles and Shapley values2505.00571 · 1 May 2025
7. Provable Efficiency of Guidance in Diffusion Models for General Data Distribution2505.01382 · 2 May 2025
8. Gaussian Differential Private Bootstrap by Subsampling2505.01197 · 2 May 2025
9. Cer-Eval: Certifiable and Cost-Efficient Evaluation Framework for LLMs2505.03814 · 2 May 2025
10. DOLCE: Decomposing Off-Policy Evaluation/Learning into Lagged and Current Effects2505.00961 · 2 May 2025
11. Characterization and Learning of Causal Graphs from Hard Interventions2505.01037 · 2 May 2025
12. Bayesian learning of the optimal action-value function in a Markov decision process2505.01859 · 3 May 2025
13. TV-SurvCaus: Dynamic Representation Balancing for Causal Survival Analysis2505.01785 · 3 May 2025
14. Fast Likelihood-Free Parameter Estimation for Lévy Processes2505.01639 · 3 May 2025
15. Extended Fiducial Inference for Individual Treatment Effects via Deep Neural Networks2505.01995 · 4 May 2025
16. Learning the Simplest Neural ODE2505.02019 · 4 May 2025
17. Ranked differences Pearson correlation dissimilarity with an application to electricity users time series clustering2505.02173 · 4 May 2025
18. Resolving Memorization in Empirical Diffusion Model for Manifold Data in High-Dimensional Spaces2505.02508 · 5 May 2025
19. GeoERM: Geometry-Aware Multi-Task Representation Learning on Riemannian Manifolds2505.02972 · 5 May 2025
20. Modeling Spatial Extremes using Non-Gaussian Spatial Autoregressive Models via Convolutional Neural Networks2505.03034 · 5 May 2025
21. Categorical and geometric methods in statistical, manifold, and machine learning2505.03862 · 6 May 2025
22. Variational Formulation of Particle Flow2505.04007 · 6 May 2025
23. Physics-Informed Sylvester Normalizing Flows for Bayesian Inference in Magnetic Resonance Spectroscopy2505.03590 · 6 May 2025
24. Lower Bounds for Greedy Teaching Set Constructions2505.03223 · 6 May 2025
25. Actor-Critics Can Achieve Optimal Sample Efficiency2505.03710 · 6 May 2025
26. Enhancing Visual Feature Attribution via Weighted Integrated Gradients2505.03201 · 6 May 2025
27. Multi-modal cascade feature transfer for polymer property prediction2505.03704 · 6 May 2025
28. Decision Making under Model Misspecification: DRO with Robust Bayesian Ambiguity Sets2505.03585 · 6 May 2025
29. Weighted Random Dot Product Graphs2505.03649 · 6 May 2025
30. A Symbolic and Statistical Learning Framework to Discover Bioprocessing Regulatory Mechanism: Cell Culture Example2505.03177 · 6 May 2025
31. A Tutorial on Discriminative Clustering and Mutual Information2505.04484 · 7 May 2025
32. Kernel Embeddings and the Separation of Measure Phenomenon2505.04613 · 7 May 2025
33. Generalization Analysis for Supervised Contrastive Representation Learning under Non-IID Settings2505.04937 · 8 May 2025
34. A Connection Between Learning to Reject and Bhattacharyya Divergences2505.05273 · 8 May 2025
35. Optimal Regret of Bernoulli Bandits under Global Differential Privacy2505.05613 · 8 May 2025
36. A Two-Sample Test of Text Generation Similarity2505.05269 · 8 May 2025
37. Conformal Prediction with Cellwise Outliers: A Detect-then-Impute Approach2505.04986 · 8 May 2025
38. Learning Linearized Models from Nonlinear Systems under Initialization Constraints with Finite Data2505.04954 · 8 May 2025
39. Boosting Statistic Learning with Synthetic Data from Pretrained Large Models2505.04992 · 8 May 2025
40. Fair Representation Learning for Continuous Sensitive Attributes using Expectation of Integral Probability Metrics2505.06435 · 9 May 2025
41. Learning Guarantee of Reward Modeling Using Deep Neural Networks2505.06601 · 10 May 2025
42. Out-of-Sample Embedding with Proximity Data: Projection versus Restricted Reconstruction2505.06756 · 10 May 2025
43. Feature Representation Transferring to Lightweight Models via Perception Coherence2505.06595 · 10 May 2025
44. Optimal Transport for Machine Learners2505.06589 · 10 May 2025
45. High-Dimensional Importance-Weighted Information Criteria: Theory and Optimality2505.06531 · 10 May 2025
46. Learning curves theory for hierarchically compositional data with power-law distributed features2505.07067 · 11 May 2025
47. Introducing the O-Value: A Universal Standardization for Confusion-Matrix-Based Classification Performance Metrics2505.07033 · 11 May 2025
48. A Sparse Bayesian Learning Algorithm for Estimation of Interaction Kernels in Motsch-Tadmor Model2505.07068 · 11 May 2025
49. Constrained Online Decision-Making: A Unified Framework2505.07101 · 11 May 2025
50. A Reverse-BSDE Diffusion Sampler2505.06800 · 11 May 2025
51. Wasserstein Distributionally Robust Nonparametric Regression2505.07967 · 12 May 2025
52. Analytic theory of dropout regularization2505.07792 · 12 May 2025
53. Transfer Learning Across Fixed-Income Product Classes2505.07676 · 12 May 2025
54. Certified Data Removal Under High-dimensional Settings2505.07640 · 12 May 2025
55. ALPCAH: Subspace Learning for Sample-wise Heteroscedastic Data2505.07272 · 12 May 2025
56. Adaptive, Robust and Scalable Bayesian Filtering for Online Learning2505.07267 · 12 May 2025
57. Sharp Gaussian approximations for Decentralized Federated Learning2505.08125 · 12 May 2025
58. Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features2505.09004 · 13 May 2025
59. Iteratively reweighted kernel machines efficiently learn sparse functions2505.08277 · 13 May 2025
60. neuralGAM: An R Package for Fitting Generalized Additive Neural Networks2505.08610 · 13 May 2025
61. Continuous Temporal Learning of Probability Distributions via Neural ODEs with Applications in Continuous Glucose Monitoring Data2505.08698 · 13 May 2025
62. Learning Treatment Allocations with Risk Control Under Partial Identifiability2505.08378 · 13 May 2025
63. Uncertainty-Aware Surrogate-based Amortized Bayesian Inference for Computationally Expensive Models2505.08683 · 13 May 2025
64. PCS-UQ: Uncertainty Quantification via the Predictability-Computability-Stability Framework2505.08784 · 13 May 2025
65. Continuous Symmetry Discovery and Enforcement Using Infinitesimal Generators of Multi-parameter Group Actions2505.08219 · 13 May 2025
66. SIM-Shapley: A Stable and Computationally Efficient Approach to Shapley Value Approximation2505.08198 · 13 May 2025
67. LatticeVision: Image to Image Networks for Modeling Non-Stationary Spatial Data2505.09803 · 14 May 2025
68. Online Learning of Neural Networks2505.09167 · 14 May 2025
69. Risk Bounds For Distributional Regression2505.09075 · 14 May 2025
70. On Measuring Intrinsic Causal Attributions in Deep Neural Networks2505.09660 · 14 May 2025
71. Adaptively-weighted Nearest Neighbors for Matrix Completion2505.09612 · 14 May 2025
72. Deep-SITAR: A SITAR-Based Deep Learning Framework for Growth Curve Modeling via Autoencoders2505.09506 · 14 May 2025
73. Learning Multi-Attribute Differential Graphs with Non-Convex Penalties2505.09748 · 14 May 2025
74. Fairness-aware Bayes optimal functional classification2505.09471 · 14 May 2025
75. Reinforcement Learning for Individual Optimal Policy from Heterogeneous Data2505.09496 · 14 May 2025
76. Optimal Transport-Based Domain Adaptation for Rotated Linear Regression2505.09229 · 14 May 2025
77. Path Gradients after Flow Matching2505.10139 · 15 May 2025
78. One-Stage Top-$k$ Learning-to-Defer: Score-Based Surrogates with Theoretical Guarantees2505.10160 · 15 May 2025
79. Minimax learning rates for estimating binary classifiers under margin conditions2505.10628 · 15 May 2025
80. Batched Nonparametric Bandits via k-Nearest Neighbor UCB2505.10498 · 15 May 2025
81. Efficient MCMC Sampling with Expensive-to-Compute and Irregular Likelihoods2505.10448 · 15 May 2025
82. FlowVAT: Normalizing Flow Variational Inference with Affine-Invariant Tempering2505.10466 · 15 May 2025
83. An Exponential Averaging Process with Strong Convergence Properties2505.10605 · 15 May 2025
84. A Scalable Gradient-Based Optimization Framework for Sparse Minimum-Variance Portfolio Selection2505.10099 · 15 May 2025
85. Missing Data Imputation by Reducing Mutual Information with Rectified Flows2505.11749 · 16 May 2025
86. A Fourier Space Perspective on Diffusion Models2505.11278 · 16 May 2025
87. Inexact Column Generation for Bayesian Network Structure Learning via Difference-of-Submodular Optimization2505.11089 · 16 May 2025
88. Nash: Neural Adaptive Shrinkage for Structured High-Dimensional Regression2505.11143 · 16 May 2025
89. Convergence Rates of Constrained Expected Improvement2505.11323 · 16 May 2025
90. On Next-Token Prediction in LLMs: How End Goals Determine the Consistency of Decoding Algorithms2505.11183 · 16 May 2025
91. Adaptive Linear Embedding for Nonstationary High-Dimensional Optimization2505.11281 · 16 May 2025
92. Is Supervised Learning Really That Different from Unsupervised?2505.11006 · 16 May 2025
93. The Stochastic Occupation Kernel (SOCK) Method for Learning Stochastic Differential Equations2505.11622 · 16 May 2025
94. Sparse Techniques for Regression in Deep Gaussian Processes2505.11355 · 16 May 2025
95. Humble your Overconfident Networks: Unlearning Overfitting via Sequential Monte Carlo Tempered Deep Ensembles2505.11671 · 16 May 2025
96. Multi-Attribute Graph Estimation with Sparse-Group Non-Convex Penalties2505.11984 · 17 May 2025
97. Continuous Domain Generalization2505.13519 · 17 May 2025
98. Data Balancing Strategies: A Systematic Survey of Resampling and Augmentation Methods2505.13518 · 17 May 2025
99. T-Rex: Fitting a Robust Factor Model via Expectation-Maximization2505.12117 · 17 May 2025
100. Coupled Entropy: A Goldilocks Generalization for Complex Systems2506.17229 · 17 May 2025