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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. Outlier Detection with Cluster Catch Digraphs2409.11596 · 17 Sept 2024
  2. Towards Gaussian Process for operator learning: an uncertainty aware resolution independent operator learning algorithm for computational mechanics2409.10972 · 17 Sept 2024
  3. On the Effect of Instability on Learning Continuous-Time Linear Control Systems2409.11327 · 17 Sept 2024
  4. Amortized Variational Inference for Deep Gaussian Processes2409.12301 · 18 Sept 2024
  5. Cartan moving frames and the data manifolds2409.12057 · 18 Sept 2024
  6. Symmetry-Based Structured Matrices for Efficient Approximately Equivariant Networks2409.11772 · 18 Sept 2024
  7. Fitting Multilevel Factor Models2409.12067 · 18 Sept 2024
  8. Robust estimation of the intrinsic dimension of data sets with quantum cognition machine learning2409.12805 · 19 Sept 2024
  9. The Central Role of the Loss Function in Reinforcement Learning2409.12799 · 19 Sept 2024
  10. Test-Time Augmentation Meets Variational Bayes2409.12587 · 19 Sept 2024
  11. High-dimensional learning of narrow neural networks2409.13904 · 20 Sept 2024
  12. Physics-informed kernel learning2409.13786 · 20 Sept 2024
  13. Validity of Feature Importance in Low-Performing Machine Learning for Tabular Biomedical Data2409.13342 · 20 Sept 2024
  14. Consistency for Large Neural Networks: Regression and Classification2409.14123 · 21 Sept 2024
  15. Exploiting Exogenous Structure for Sample-Efficient Reinforcement Learning2409.14557 · 22 Sept 2024
  16. A competitive baseline for deep learning enhanced data assimilation using conditional Gaussian ensemble Kalman filtering2409.14300 · 22 Sept 2024
  17. Generalization vs. Specialization under Concept Shift2409.15582 · 23 Sept 2024
  18. Harmonic Path Integral Diffusion2409.15166 · 23 Sept 2024
  19. Beyond Conformal Predictors: Adaptive Conformal Inference with Confidence Predictors2409.15548 · 23 Sept 2024
  20. (De)-regularized Maximum Mean Discrepancy Gradient Flow2409.14980 · 23 Sept 2024
  21. Adaptive Conformal Inference for Multi-Step Ahead Time-Series Forecasting Online2409.14792 · 23 Sept 2024
  22. Embedding Knowledge Graph in Function Spaces2409.14857 · 23 Sept 2024
  23. Refereeing the Referees: Evaluating Two-Sample Tests for Validating Generators in Precision Sciences2409.16336 · 24 Sept 2024
  24. Adaptive Learn-then-Test: Statistically Valid and Efficient Hyperparameter Selection2409.15844 · 24 Sept 2024
  25. Statistical tuning of artificial neural network2409.16426 · 24 Sept 2024
  26. Towards Representation Learning for Weighting Problems in Design-Based Causal Inference2409.16407 · 24 Sept 2024
  27. A decision-theoretic model for a principal-agent collaborative learning problem2409.16068 · 24 Sept 2024
  28. Stochastic neighborhood embedding and the gradient flow of relative entropy2409.16963 · 25 Sept 2024
  29. Schrödinger bridge based deep conditional generative learning2409.17294 · 25 Sept 2024
  30. Learning Representation for Multitask learning through Self Supervised Auxiliary learning2409.16651 · 25 Sept 2024
  31. Adjusting Regression Models for Conditional Uncertainty Calibration2409.17466 · 26 Sept 2024
  32. A Unified View on Learning Unnormalized Distributions via Noise-Contrastive Estimation2409.18209 · 26 Sept 2024
  33. Local Prediction-Powered Inference2409.18321 · 26 Sept 2024
  34. Transfer Learning in $\ell_1$ Regularized Regression: Hyperparameter Selection Strategy based on Sharp Asymptotic Analysis2409.17704 · 26 Sept 2024
  35. Sequential Kernelized Stein Discrepancy2409.17505 · 26 Sept 2024
  36. Conjugate Bayesian Two-step Change Point Detection for Hawkes Process2409.17591 · 26 Sept 2024
  37. Efficient Fairness-Performance Pareto Front Computation2409.17643 · 26 Sept 2024
  38. Enriched Functional Tree-Based Classifiers: A Novel Approach Leveraging Derivatives and Geometric Features2409.17804 · 26 Sept 2024
  39. Optimizing the Induced Correlation in Omnibus Joint Graph Embeddings2409.17544 · 26 Sept 2024
  40. How Feature Learning Can Improve Neural Scaling Laws2409.17858 · 26 Sept 2024
  41. Decomposable Transformer Point Processes2409.18158 · 26 Sept 2024
  42. Classical Statistical (In-Sample) Intuitions Don't Generalize Well: A Note on Bias-Variance Tradeoffs, Overfitting and Moving from Fixed to Random Designs2409.18842 · 27 Sept 2024
  43. Positional Encoder Graph Quantile Neural Networks for Geographic Data2409.18865 · 27 Sept 2024
  44. WHOMP: Optimizing Randomized Controlled Trials via Wasserstein Homogeneity2409.18504 · 27 Sept 2024
  45. A Model-Constrained Discontinuous Galerkin Network (DGNet) for Compressible Euler Equations with Out-of-Distribution Generalization2409.18371 · 27 Sept 2024
  46. Convergence of Diffusion Models Under the Manifold Hypothesis in High-Dimensions2409.18804 · 27 Sept 2024
  47. Constructing Confidence Intervals for 'the' Generalization Error -- a Comprehensive Benchmark Study2409.18836 · 27 Sept 2024
  48. Adaptive Learning of the Latent Space of Wasserstein Generative Adversarial Networks2409.18374 · 27 Sept 2024
  49. Interpretable, multi-dimensional Evaluation Framework for Causal Discovery from observational i.i.d. Data2409.19377 · 28 Sept 2024
  50. Generalization and Robustness of the Tilted Empirical Risk2409.19431 · 28 Sept 2024
  51. Group & Reweight: A Novel Cost-Sensitive Approach to Mitigating Class Imbalance in Network Traffic Classification2409.19214 · 28 Sept 2024
  52. An evolutionary approach for discovering non-Gaussian stochastic dynamical systems based on nonlocal Kramers-Moyal formulas2409.19534 · 29 Sept 2024
  53. Automatic debiasing of neural networks via moment-constrained learning2409.19777 · 29 Sept 2024
  54. StreamEnsemble: Predictive Queries over Spatiotemporal Streaming Data2410.00933 · 30 Sept 2024
  55. Stream-level flow matching with Gaussian processes2409.20423 · 30 Sept 2024
  56. Sufficient and Necessary Explanations (and What Lies in Between)2409.20427 · 30 Sept 2024
  57. Robust Multi-view Co-expression Network Inference2409.19991 · 30 Sept 2024
  58. Stochastic Inverse Problem: stability, regularization and Wasserstein gradient flow2410.00229 · 30 Sept 2024
  59. Input-Label Correlation Governs a Linear-to-Nonlinear Transition in Random Features under Spiked Covariance2409.20250 · 30 Sept 2024
  60. On the topology and geometry of population-based SHM2410.00923 · 30 Sept 2024
  61. Annealing Flow Generative Models Towards Sampling High-Dimensional and Multi-Modal Distributions2409.20547 · 30 Sept 2024
  62. AR-Sieve Bootstrap for the Random Forest and a simulation-based comparison with rangerts time series prediction2410.00942 · 1 Oct 2024
  63. Differentiable Interacting Multiple Model Particle Filtering2410.00620 · 1 Oct 2024
  64. An Introduction to Deep Survival Analysis Models for Predicting Time-to-Event Outcomes2410.01086 · 1 Oct 2024
  65. An EM Gradient Algorithm for Mixture Models with Components Derived from the Manly Transformation2410.00848 · 1 Oct 2024
  66. A Generalized Mean Approach for Distributed-PCA2410.00397 · 1 Oct 2024
  67. Asymmetry of the Relative Entropy in the Regularization of Empirical Risk Minimization2410.02833 · 2 Oct 2024
  68. Revisiting Optimism and Model Complexity in the Wake of Overparameterized Machine Learning2410.01259 · 2 Oct 2024
  69. Deep Kernel Posterior Learning under Infinite Variance Prior Weights2410.01284 · 2 Oct 2024
  70. Transformers Handle Endogeneity in In-Context Linear Regression2410.01265 · 2 Oct 2024
  71. Robustness and Structure Preservation in Flow-Based Generative Models via Wasserstein Path-Space Divergences2410.01244 · 2 Oct 2024
  72. Attention layers provably solve single-location regression2410.01537 · 2 Oct 2024
  73. Posterior sampling via Langevin dynamics based on generative priors2410.02078 · 2 Oct 2024
  74. FredNormer: Frequency Domain Normalization for Non-stationary Time Series Forecasting2410.01860 · 2 Oct 2024
  75. One Wave To Explain Them All: A Unifying Perspective On Feature Attribution2410.01482 · 2 Oct 2024
  76. Introducing Flexible Monotone Multiple Choice Item Response Theory Models and Bit Scales2410.01480 · 2 Oct 2024
  77. The Benefit of Being Bayesian in Online Conformal Prediction2410.02561 · 3 Oct 2024
  78. Nonparametric IPSS: Fast, flexible feature selection with false discovery control2410.02208 · 3 Oct 2024
  79. On Expert Estimation in Hierarchical Mixture of Experts: Beyond Softmax Gating Functions2410.02935 · 3 Oct 2024
  80. Distributed Learning with Discretely Observed Functional Data2410.02376 · 3 Oct 2024
  81. Optimization, Isoperimetric Inequalities, and Sampling via Lyapunov Potentials2410.02979 · 3 Oct 2024
  82. Dual Active Learning for Reinforcement Learning from Human Feedback2410.02504 · 3 Oct 2024
  83. CAnDOIT: Causal Discovery with Observational and Interventional Data from Time-Series2410.02844 · 3 Oct 2024
  84. Large Language Models as Markov Chains2410.02724 · 3 Oct 2024
  85. On Lai's Upper Confidence Bound in Multi-Armed Bandits2410.02279 · 3 Oct 2024
  86. Local Flow Matching Generative Models2410.02548 · 3 Oct 2024
  87. Highly Adaptive Ridge2410.02680 · 3 Oct 2024
  88. Towards Understanding the Universality of Transformers for Next-Token Prediction2410.03011 · 3 Oct 2024
  89. Minimax-optimal trust-aware multi-armed bandits2410.03651 · 4 Oct 2024
  90. Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport2410.03974 · 4 Oct 2024
  91. Forest Proximities for Time Series2410.03098 · 4 Oct 2024
  92. Learning to steer with Brownian noise2410.03221 · 4 Oct 2024
  93. Optimal Transport for $ε$-Contaminated Credal Sets: To the Memory of Sayan Mukherjee2410.03267 · 4 Oct 2024
  94. Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting2410.03229 · 4 Oct 2024
  95. Conformal confidence sets for biomedical image segmentation2410.03406 · 4 Oct 2024
  96. Nonstationary Sparse Spectral Permanental Process2410.03581 · 4 Oct 2024
  97. Nested Deep Learning Model Towards A Foundation Model for Brain Signal Data2410.03191 · 4 Oct 2024
  98. pFedGame -- Decentralized Federated Learning using Game Theory in Dynamic Topology2410.04058 · 5 Oct 2024
  99. Is Score Matching Suitable for Estimating Point Processes?2410.04037 · 5 Oct 2024
  100. Decoupling Dynamical Richness from Representation Learning: Towards Practical Measurement2410.04264 · 5 Oct 2024