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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. Spatial Conformal Inference through Localized Quantile Regression2412.01098 · 2 Dec 2024
  2. Berezinskii--Kosterlitz--Thouless transition in a context-sensitive random language model2412.01212 · 2 Dec 2024
  3. A Note on Estimation Error Bound and Grouping Effect of Transfer Elastic Net2412.01010 · 2 Dec 2024
  4. Refined Analysis of Federated Averaging and Federated Richardson-Romberg2412.01389 · 2 Dec 2024
  5. Reliable and scalable variable importance estimation via warm-start and early stopping2412.01120 · 2 Dec 2024
  6. Deep Matrix Factorization with Adaptive Weights for Multi-View Clustering2412.02292 · 3 Dec 2024
  7. Selective Reviews of Bandit Problems in AI via a Statistical View2412.02251 · 3 Dec 2024
  8. MEP-Net: Generating Solutions to Scientific Problems with Limited Knowledge by Maximum Entropy Principle2412.02090 · 3 Dec 2024
  9. An Information-Theoretic Analysis of Thompson Sampling for Logistic Bandits2412.02861 · 3 Dec 2024
  10. Universal Rates of Empirical Risk Minimization2412.02810 · 3 Dec 2024
  11. The Broader Landscape of Robustness in Algorithmic Statistics2412.02670 · 3 Dec 2024
  12. Self-test loss functions for learning weak-form operators and gradient flows2412.03506 · 4 Dec 2024
  13. Community Detection with Heterogeneous Block Covariance Model2412.03780 · 4 Dec 2024
  14. Learning Networks from Wide-Sense Stationary Stochastic Processes2412.03768 · 4 Dec 2024
  15. Preference-based Pure Exploration2412.02988 · 4 Dec 2024
  16. Beyond algorithm hyperparameters: on preprocessing hyperparameters and associated pitfalls in machine learning applications2412.03491 · 4 Dec 2024
  17. Asymptotics of Linear Regression with Linearly Dependent Data2412.03702 · 4 Dec 2024
  18. A Probabilistic Formulation of Offset Noise in Diffusion Models2412.03134 · 4 Dec 2024
  19. Nonparametric Filtering, Estimation and Classification using Neural Jump ODEs2412.03271 · 4 Dec 2024
  20. Tight PAC-Bayesian Risk Certificates for Contrastive Learning2412.03486 · 4 Dec 2024
  21. Pathwise optimization for bridge-type estimators and its applications2412.04047 · 5 Dec 2024
  22. How well behaved is finite dimensional Diffusion Maps?2412.03992 · 5 Dec 2024
  23. GeoConformal prediction: a model-agnostic framework of measuring the uncertainty of spatial prediction2412.08661 · 5 Dec 2024
  24. The Polynomial Stein Discrepancy for Assessing Moment Convergence2412.05135 · 6 Dec 2024
  25. Proximal Iteration for Nonlinear Adaptive Lasso2412.05726 · 7 Dec 2024
  26. Leveraging Black-box Models to Assess Feature Importance in Unconditional Distribution2412.05759 · 7 Dec 2024
  27. Confidence Diagram of Nonparametric Ranking for Uncertainty Assessment in Large Language Models Evaluation2412.05506 · 7 Dec 2024
  28. Training-Free Bayesianization for Low-Rank Adapters of Large Language Models2412.05723 · 7 Dec 2024
  29. Reinforcement Learning for a Discrete-Time Linear-Quadratic Control Problem with an Application2412.05906 · 8 Dec 2024
  30. Can Generative AI Solve Your In-Context Learning Problem? A Martingale Perspective2412.06033 · 8 Dec 2024
  31. Representational Transfer Learning for Matrix Completion2412.06233 · 9 Dec 2024
  32. Is the neural tangent kernel of PINNs deep learning general partial differential equations always convergent ?2412.06158 · 9 Dec 2024
  33. Interactive and Hybrid Imitation Learning: Provably Beating Behavior Cloning2412.07057 · 9 Dec 2024
  34. An inferential measure of dependence between two systems using Bayesian model comparison2412.06478 · 9 Dec 2024
  35. Generalized Least Squares Kernelized Tensor Factorization2412.07041 · 9 Dec 2024
  36. Sequential Controlled Langevin Diffusions2412.07081 · 10 Dec 2024
  37. Low-Rank Correction for Quantized LLMs2412.07902 · 10 Dec 2024
  38. Modeling High-Resolution Spatio-Temporal Wind with Deep Echo State Networks and Stochastic Partial Differential Equations2412.07265 · 10 Dec 2024
  39. Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences2412.07763 · 10 Dec 2024
  40. Optimization Can Learn Johnson Lindenstrauss Embeddings2412.07242 · 10 Dec 2024
  41. Score-Optimal Diffusion Schedules2412.07877 · 10 Dec 2024
  42. Dual Random Fields and their Application to Mineral Potential Mapping2412.07488 · 10 Dec 2024
  43. Score-matching-based Structure Learning for Temporal Data on Networks2412.07469 · 10 Dec 2024
  44. How to Choose a Threshold for an Evaluation Metric for Large Language Models2412.12148 · 10 Dec 2024
  45. An Optimistic Algorithm for Online Convex Optimization with Adversarial Constraints2412.08060 · 11 Dec 2024
  46. Wait-Less Offline Tuning and Re-solving for Online Decision Making2412.09594 · 12 Dec 2024
  47. Precise Asymptotics and Refined Regret of Variance-Aware UCB2412.08843 · 12 Dec 2024
  48. Distribution free uncertainty quantification in neuroscience-inspired deep operators2412.09369 · 12 Dec 2024
  49. Langevin Monte Carlo Beyond Lipschitz Gradient Continuity2412.09698 · 12 Dec 2024
  50. $(ε, δ)$-Differentially Private Partial Least Squares Regression2412.09164 · 12 Dec 2024
  51. Belted and Ensembled Neural Network for Linear and Nonlinear Sufficient Dimension Reduction2412.08961 · 12 Dec 2024
  52. Investigating the Impact of Balancing, Filtering, and Complexity on Predictive Multiplicity: A Data-Centric Perspective2412.09712 · 12 Dec 2024
  53. A Statistical Analysis for Supervised Deep Learning with Exponential Families for Intrinsically Low-dimensional Data2412.09779 · 13 Dec 2024
  54. Matrix Completion via Residual Spectral Matching2412.10005 · 13 Dec 2024
  55. Generative Modeling with Diffusion2412.10948 · 14 Dec 2024
  56. Deep Learning-based Approaches for State Space Models: A Selective Review2412.11211 · 15 Dec 2024
  57. From XAI to MLOps: Explainable Concept Drift Detection with Profile Drift Detection2412.11308 · 15 Dec 2024
  58. Representation learning of dynamic networks2412.11065 · 15 Dec 2024
  59. Prediction-Enhanced Monte Carlo: A Machine Learning View on Control Variate2412.11257 · 15 Dec 2024
  60. Generalized Bayesian deep reinforcement learning2412.11743 · 16 Dec 2024
  61. Generalization Analysis for Deep Contrastive Representation Learning2412.12014 · 16 Dec 2024
  62. Learning Massive-scale Partial Correlation Networks in Clinical Multi-omics Studies with HP-ACCORD2412.11554 · 16 Dec 2024
  63. BetaExplainer: A Probabilistic Method to Explain Graph Neural Networks2412.11964 · 16 Dec 2024
  64. Bayesian Surrogate Training on Multiple Data Sources: A Hybrid Modeling Strategy2412.11875 · 16 Dec 2024
  65. Conditional Diffusion Models Based Conditional Independence Testing2412.11744 · 16 Dec 2024
  66. BOIDS: High-dimensional Bayesian Optimization via Incumbent-guided Direction Lines and Subspace Embeddings2412.12918 · 17 Dec 2024
  67. Adversarially robust generalization theory via Jacobian regularization for deep neural networks2412.12449 · 17 Dec 2024
  68. On Model Extrapolation in Marginal Shapley Values2412.13158 · 17 Dec 2024
  69. Sequential Harmful Shift Detection Without Labels2412.12910 · 17 Dec 2024
  70. jinns: a JAX Library for Physics-Informed Neural Networks2412.14132 · 18 Dec 2024
  71. On the Robustness of Spectral Algorithms for Semirandom Stochastic Block Models2412.14315 · 18 Dec 2024
  72. Subspace Langevin Monte Carlo2412.13928 · 18 Dec 2024
  73. Time-Reversible Bridges of Data with Machine Learning2412.13665 · 18 Dec 2024
  74. Statistical Undersampling with Mutual Information and Support Points2412.14527 · 19 Dec 2024
  75. Enhancing Masked Time-Series Modeling via Dropping Patches2412.15315 · 19 Dec 2024
  76. From Point to probabilistic gradient boosting for claim frequency and severity prediction2412.14916 · 19 Dec 2024
  77. On Robust Cross Domain Alignment2412.15861 · 20 Dec 2024
  78. Deep learning joint extremes of metocean variables using the SPAR model2412.15808 · 20 Dec 2024
  79. Using matrix-product states for time-series machine learning2412.15826 · 20 Dec 2024
  80. Learning sparsity-promoting regularizers for linear inverse problems2412.16031 · 20 Dec 2024
  81. Fast Multi-Group Gaussian Process Factor Models2412.16773 · 21 Dec 2024
  82. Robust Random Graph Matching in Dense Graphs via an Approximate Message Passing Type Algorithm2412.16457 · 21 Dec 2024
  83. Gradient-Based Non-Linear Inverse Learning2412.16794 · 21 Dec 2024
  84. Integrating Random Effects in Variational Autoencoders for Dimensionality Reduction of Correlated Data2412.16899 · 22 Dec 2024
  85. Minimax Optimal Simple Regret in Two-Armed Best-Arm Identification2412.17753 · 23 Dec 2024
  86. Learning from Summarized Data: Gaussian Process Regression with Sample Quasi-Likelihood2412.17455 · 23 Dec 2024
  87. Optimal Convergence Rates for Neural Operators2412.17518 · 23 Dec 2024
  88. An information theoretic limit to data amplification2412.18041 · 23 Dec 2024
  89. Data-Driven Priors in the Maximum Entropy on the Mean Method for Linear Inverse Problems2412.17916 · 23 Dec 2024
  90. More is Less? A Simulation-Based Approach to Dynamic Interactions between Biases in Multimodal Models2412.17505 · 23 Dec 2024
  91. Probability-density-aware Semi-supervised Learning2412.17547 · 23 Dec 2024
  92. Fréchet regression with implicit denoising and multicollinearity reduction2412.18247 · 24 Dec 2024
  93. HNCI: High-Dimensional Network Causal Inference2412.18568 · 24 Dec 2024
  94. Convergence of Statistical Estimators via Mutual Information Bounds2412.18539 · 24 Dec 2024
  95. Subsampling, aligning, and averaging to find circular coordinates in recurrent time series2412.18515 · 24 Dec 2024
  96. Gaussian entropic optimal transport: Schrödinger bridges and the Sinkhorn algorithm2412.18432 · 24 Dec 2024
  97. A Statistical Framework for Ranking LLM-Based Chatbots2412.18407 · 24 Dec 2024
  98. Heterogeneous transfer learning for high-dimensional regression with feature mismatch2412.18081 · 24 Dec 2024
  99. Generative Models with ELBOs Converging to Entropy Sums2501.09022 · 25 Dec 2024
  100. Localized exploration in contextual dynamic pricing achieves dimension-free regret2412.19252 · 26 Dec 2024