Statistics, Machine Learning papers, 2026-03-01 to 2026-08-31

Papers

1. A Basin-Selection Perspective on Grokking via Singular Learning Theory2603.01192 · 1 Mar 2026
2. Time-Aware Latent Space Bayesian Optimization2603.00935 · 1 Mar 2026
3. Random Features for Operator-Valued Kernels: Bridging Kernel Methods and Neural Operators2603.00971 · 1 Mar 2026
4. Learning with the Nash-Sutcliffe loss2603.00968 · 1 Mar 2026
5. Density-Matrix Spectral Embeddings for Categorical Data: Operator Structure and Stability2603.01975 · 2 Mar 2026
6. Adaptive Estimation and Inference in Conditional Moment Models via the Discrepancy Principle2603.01337 · 2 Mar 2026
7. LOCUS: A Distribution-Free Loss-Quantile Score for Risk-Aware Predictions2603.01971 · 2 Mar 2026
8. Conformal Graph Prediction with Z-Gromov-Wasserstein Distances2603.02460 · 2 Mar 2026
9. Mini-Batch Covariance, Diffusion Limits, and Oracle Complexity in Stochastic Gradient Descent: A Sampling-Design Perspective2603.02417 · 2 Mar 2026
10. The Theory behind UMAP?2603.03375 · 2 Mar 2026
11. TRAKNN: Efficient Trajectory Aware Spatiotemporal kNN for Rare Meteorological Trajectory Detection2603.02059 · 2 Mar 2026
12. Co-optimization for Adaptive Conformal Prediction2603.01719 · 2 Mar 2026
13. Causal Effects with Unobserved Unit Types in Interacting Human-AI Systems2603.01339 · 2 Mar 2026
14. Instrumental and Proximal Causal Inference with Gaussian Processes2603.02159 · 2 Mar 2026
15. Geometric structures and deviations on James' symmetric positive-definite matrix bicone domain2603.02483 · 3 Mar 2026
16. Exact Functional ANOVA Decomposition for Categorical Inputs Models2603.02673 · 3 Mar 2026
17. A Covering Framework for Offline POMDPs Learning using Belief Space Metric2603.03191 · 3 Mar 2026
18. Generalized Bayes for Causal Inference2603.03035 · 3 Mar 2026
19. Low-Degree Method Fails to Predict Robust Subspace Recovery2603.02594 · 3 Mar 2026
20. Learning Order Forest for Qualitative-Attribute Data Clustering2603.03387 · 3 Mar 2026
21. The elbow statistic: Multiscale clustering statistical significance2603.03235 · 3 Mar 2026
22. Scalable Contrastive Causal Discovery under Unknown Soft Interventions2603.03411 · 3 Mar 2026
23. Beyond Cross-Validation: Adaptive Parameter Selection for Kernel-Based Gradient Descents2603.03401 · 3 Mar 2026
24. Combinatorial Sparse PCA Beyond the Spiked Identity Model2603.02607 · 3 Mar 2026
25. Surprisal-Rényi Free Energy2603.03405 · 3 Mar 2026
26. Scalable Posterior Uncertainty for Flexible Density-Based Clustering2603.03188 · 3 Mar 2026
27. Beyond Mixtures and Products for Ensemble Aggregation: A Likelihood Perspective on Generalized Means2603.04204 · 4 Mar 2026
28. Optimal Prediction-Augmented Algorithms for Testing Independence of Distributions2603.04635 · 4 Mar 2026
29. Dictionary Based Pattern Entropy for Causal Direction Discovery2603.04473 · 4 Mar 2026
30. Bayesian Modeling of Collatz Stopping Times: A Probabilistic Machine Learning Perspective2603.04479 · 4 Mar 2026
31. Invariance-Based Dynamic Regret Minimization2603.03843 · 4 Mar 2026
32. Stable and Steerable Sparse Autoencoders with Weight Regularization2603.04198 · 4 Mar 2026
33. Semi-Supervised Generative Learning via Latent Space Distribution Matching2603.04223 · 4 Mar 2026
34. Observationally Informed Adaptive Causal Experimental Design2603.03785 · 4 Mar 2026
35. Riemannian Langevin Dynamics: Strong Convergence of Geometric Euler-Maruyama Scheme2603.03626 · 4 Mar 2026
36. Generalization Properties of Score-matching Diffusion Models for Intrinsically Low-dimensional Data2603.03700 · 4 Mar 2026
37. Exploiting Subgradient Sparsity in Max-Plus Neural Networks2603.04133 · 4 Mar 2026
38. Empirical Evaluation of No Free Lunch Violations in Permutation-Based Optimization2603.03613 · 4 Mar 2026
39. The Volterra signature2603.04525 · 4 Mar 2026
40. Prediction-Powered Conditional Inference2603.05575 · 5 Mar 2026
41. Bayes with No Shame: Admissibility Geometries of Predictive Inference2603.05335 · 5 Mar 2026
42. Learning Optimal Distributionally Robust Individualized Treatment Rules Integrating Multi-Source Data2603.05568 · 5 Mar 2026
43. Bayesian Supervised Causal Clustering2603.05288 · 5 Mar 2026
44. How Does the ReLU Activation Affect the Implicit Bias of Gradient Descent on High-dimensional Neural Network Regression?2603.04895 · 5 Mar 2026
45. Learning Optimal Individualized Decision Rules with Conditional Demographic Parity2603.05226 · 5 Mar 2026
46. How important are the genes to explain the outcome - the asymmetric Shapley value as an honest importance metric for high-dimensional features2603.05317 · 5 Mar 2026
47. Thermodynamic Response Functions in Singular Bayesian Models2603.05480 · 5 Mar 2026
48. On the Statistical Optimality of Optimal Decision Trees2603.05340 · 5 Mar 2026
49. Does Sparse Connectivity Improve Generalization? Convolutional Networks Below the Edge of Stability2603.04807 · 5 Mar 2026
50. Harnessing Synthetic Data from Generative AI for Statistical Inference2603.05396 · 5 Mar 2026
51. Bilateral Trade Under Heavy-Tailed Valuations: Minimax Regret with Infinite Variance2603.06851 · 6 Mar 2026
52. CREDO: Epistemic-Aware Conformalized Credal Envelopes for Regression2603.06826 · 6 Mar 2026
53. SPPCSO: Adaptive Penalized Estimation Method for High-Dimensional Correlated Data2603.06251 · 6 Mar 2026
54. Robust support vector model based on bounded asymmetric elastic net loss for binary classification2603.06257 · 6 Mar 2026
55. Semantics-Aware Caching for Concept Learning2603.06506 · 6 Mar 2026
56. Fairness May Backfire: When Leveling-Down Occurs in Fair Machine Learning2603.06901 · 6 Mar 2026
57. Post-Training with Policy Gradients: Optimality and the Base Model Barrier2603.06957 · 7 Mar 2026
58. Deep Generative Spatiotemporal Engression for Probabilistic Forecasting of Epidemics2603.07108 · 7 Mar 2026
59. Masking Causality and Conditional Dependence2603.06984 · 7 Mar 2026
60. Permutation-Equivariant 2D State Space Models: Theory and Canonical Architecture for Multivariate Time Series2603.08753 · 7 Mar 2026
61. Probabilistic Inference and Learning with Stein's Method2603.07467 · 8 Mar 2026
62. Beyond Data Splitting: Full-Data Conformal Prediction by Differential Privacy2603.07522 · 8 Mar 2026
63. No Certificate for Alignment: Two Independent Impossibilities and the Pareto Frontier of Achievable Safety Guarantees2603.08761 · 8 Mar 2026
64. Generative Adversarial Regression (GAR): Learning Conditional Risk Scenarios2603.08553 · 9 Mar 2026
65. Momentum SVGD-EM for Accelerated Maximum Marginal Likelihood Estimation2603.08676 · 9 Mar 2026
66. Structural Causal Bottleneck Models2603.08682 · 9 Mar 2026
67. An Interpretable Generative Framework for Anomaly Detection in High-Dimensional Financial Time Series2603.07864 · 9 Mar 2026
68. Micro-Diffusion Compression - Binary Tree Tweedie Denoising for Online Probability Estimation2603.08771 · 9 Mar 2026
69. Statistical Inference via Generative Models: Flow Matching and Causal Inference2603.09009 · 9 Mar 2026
70. Unifying On- and Off-Policy Variance Reduction Methods2603.08370 · 9 Mar 2026
71. Robust Transfer Learning with Side Information2603.07921 · 9 Mar 2026
72. Local Constrained Bayesian Optimization2603.07965 · 9 Mar 2026
73. Towards Reliable Simulation-based Inference2603.08947 · 9 Mar 2026
74. Posterior Sampling Reinforcement Learning with Gaussian Processes for Continuous Control: Sublinear Regret Bounds for Unbounded State Spaces2603.08287 · 9 Mar 2026
75. Beyond ReinMax: Low-Variance Gradient Estimators for Discrete Latent Variables2603.08257 · 9 Mar 2026
76. a-TMFG: Scalable Triangulated Maximally Filtered Graphs via Approximate Nearest Neighbors2603.09564 · 10 Mar 2026
77. A Diffusion Analysis of Policy Gradient for Stochastic Bandits2603.10219 · 10 Mar 2026
78. Verifying Good Regulator Conditions for Hypergraph Observers: Natural Gradient Learning from Causal Invariance via Established Theorems2603.09067 · 10 Mar 2026
79. A Generative Sampler for distributions with possible discrete parameter based on Reversibility2603.09251 · 10 Mar 2026
80. Stabilizing Bandits using Regularization: Precise Regret and A Quantitative Central Limit Theorem2603.10184 · 10 Mar 2026
81. Bayesian Hierarchical Models and the Maximum Entropy Principle2603.10252 · 10 Mar 2026
82. On Regret Bounds of Thompson Sampling for Bayesian Optimization2603.09276 · 10 Mar 2026
83. What Do We Care About in Bandits with Noncompliance? BRACE: Bandits with Recommendations, Abstention, and Certified Effects2603.09532 · 10 Mar 2026
84. Spatially Robust Inference with Predicted and Missing at Random Labels2603.11368 · 11 Mar 2026
85. Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps2603.11229 · 11 Mar 2026
86. Co-Diffusion: An Affinity-Aware Two-Stage Latent Diffusion Framework for Generalizable Drug-Target Affinity Prediction2603.11125 · 11 Mar 2026
87. Deep regression learning from dependent observations with minimum error entropy principle2603.11138 · 11 Mar 2026
88. Efficient Approximation to Analytic and $L^p$ functions by Height-Augmented ReLU Networks2603.11128 · 11 Mar 2026
89. On The Complexity of Best-Arm Identification in Non-Stationary Linear Bandits2603.10346 · 11 Mar 2026
90. Kernel Tests of Equivalence2603.10886 · 11 Mar 2026
91. RIE-Greedy: Regularization-Induced Exploration for Contextual Bandits2603.11276 · 11 Mar 2026
92. A Tutorial Review of Bayesian Optimization with Gaussian Processes to Accelerate Stationary Point Searches2603.10992 · 11 Mar 2026
93. ReTabSyn: Realistic Tabular Data Synthesis via Reinforcement Learning2603.10823 · 11 Mar 2026
94. Dual Space Preconditioning for Gradient Descent in the Overparameterized Regime2603.10485 · 11 Mar 2026
95. Adaptive Active Learning for Regression via Reinforcement Learning2603.10435 · 11 Mar 2026
96. Worst-case low-rank approximations2603.11304 · 11 Mar 2026
97. MultiwayPAM: Multiway Partitioning Around Medoids for LLM-as-a-Judge Score Analysis2603.10287 · 11 Mar 2026
98. Brenier Isotonic Regression2603.10452 · 11 Mar 2026
99. A Unified Latent Space Disentanglement VAE Framework with Robust Disentanglement Effectiveness Evaluation2603.11242 · 11 Mar 2026
100. Decomposing Observational Multiplicity in Decision Trees: Leaf and Structural Regret2603.11701 · 12 Mar 2026