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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. Implicit Bias of Mirror Flow for Shallow Neural Networks in Univariate Regression2410.03988 · 5 Oct 2024
  2. Grokking at the Edge of Linear Separability2410.04489 · 6 Oct 2024
  3. Stochastic Runge-Kutta Methods: Provable Acceleration of Diffusion Models2410.04760 · 7 Oct 2024
  4. Meta-Dynamical State Space Models for Integrative Neural Data Analysis2410.05454 · 7 Oct 2024
  5. Agnostic Smoothed Online Learning without Knowledge of the Base Measure2410.05124 · 7 Oct 2024
  6. Are causal effect estimations enough for optimal recommendations under multitreatment scenarios?2410.05177 · 7 Oct 2024
  7. Bias-Aware Conformal Prediction for Metric-Based Imaging Pipelines2410.05263 · 7 Oct 2024
  8. Thompson Sampling For Combinatorial Bandits: Polynomial Regret and Mismatched Sampling Paradox2410.05441 · 7 Oct 2024
  9. Optimal Adaptive Experimental Design for Estimating Treatment Effect2410.05552 · 7 Oct 2024
  10. Long-Context Linear System Identification2410.05690 · 8 Oct 2024
  11. Stochastic Bandits for Egalitarian Assignment2410.05856 · 8 Oct 2024
  12. Stochastic Kernel Regularisation Improves Generalisation in Deep Kernel Machines2410.06171 · 8 Oct 2024
  13. Pathwise Gradient Variance Reduction with Control Variates in Variational Inference2410.05753 · 8 Oct 2024
  14. The Breakdown of Gaussian Universality in Classification of High-dimensional Linear Factor Mixtures2410.05609 · 8 Oct 2024
  15. Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series2410.05602 · 8 Oct 2024
  16. Temperature Optimization for Bayesian Deep Learning2410.05757 · 8 Oct 2024
  17. Manifolds, Random Matrices and Spectral Gaps: The geometric phases of generative diffusion2410.05898 · 8 Oct 2024
  18. Covering Numbers for Deep ReLU Networks with Applications to Function Approximation and Nonparametric Regression2410.06378 · 8 Oct 2024
  19. Markov Equivalence and Consistency in Differentiable Structure Learning2410.06163 · 8 Oct 2024
  20. Uncertainty-Aware Fairness-Adaptive Classification Trees2410.05810 · 8 Oct 2024
  21. Joint Bayesian Parameter and Model Order Estimation for Low-Rank Probability Mass Tensors2410.06329 · 8 Oct 2024
  22. SMART: A Flexible Approach to Regression using Spline-Based Multivariate Adaptive Regression Trees2410.05597 · 8 Oct 2024
  23. On the Impacts of the Random Initialization in the Neural Tangent Kernel Theory2410.05626 · 8 Oct 2024
  24. Generalized Sparse Additive Model with Unknown Link Function2410.06012 · 8 Oct 2024
  25. Adversarial Vulnerability as a Consequence of On-Manifold Inseparibility2410.06921 · 9 Oct 2024
  26. Gridded Transformer Neural Processes for Large Unstructured Spatio-Temporal Data2410.06731 · 9 Oct 2024
  27. Do Contemporary Causal Inference Models Capture Real-World Heterogeneity? Findings from a Large-Scale Benchmark2410.07021 · 9 Oct 2024
  28. Hybrid Summary Statistics2410.07548 · 10 Oct 2024
  29. Cost-aware simulation-based inference2410.07930 · 10 Oct 2024
  30. Markov Chain Gradient Descent in Hilbert Spaces2410.08361 · 10 Oct 2024
  31. Correspondence of NNGP Kernel and the Matern Kernel2410.08311 · 10 Oct 2024
  32. On Reward Transferability in Adversarial Inverse Reinforcement Learning: Insights from Random Matrix Theory2410.07643 · 10 Oct 2024
  33. On the grid-sampling limit SDE2410.07778 · 10 Oct 2024
  34. Addressing Rotational Learning Dynamics in Multi-Agent Reinforcement Learning2410.07976 · 10 Oct 2024
  35. Breaking the curse of dimensionality in structured density estimation2410.07685 · 10 Oct 2024
  36. Avoiding mode collapse in diffusion models fine-tuned with reinforcement learning2410.08315 · 10 Oct 2024
  37. Features are fate: a theory of transfer learning in high-dimensional regression2410.08194 · 10 Oct 2024
  38. Orthogonal Nonnegative Matrix Factorization with the Kullback-Leibler divergence2410.07786 · 10 Oct 2024
  39. Identifying latent disease factors differently expressed in patient subgroups using group factor analysis2410.07890 · 10 Oct 2024
  40. Gap-Dependent Bounds for Q-Learning using Reference-Advantage Decomposition2410.07574 · 10 Oct 2024
  41. Theoretical limits of descending $\ell_0$ sparse-regression ML algorithms2410.07651 · 10 Oct 2024
  42. Online-to-PAC generalization bounds under graph-mixing dependencies2410.08977 · 11 Oct 2024
  43. Linear Convergence of Diffusion Models Under the Manifold Hypothesis2410.09046 · 11 Oct 2024
  44. Calibrated Computation-Aware Gaussian Processes2410.08796 · 11 Oct 2024
  45. MVG-CRPS: A Robust Loss Function for Multivariate Probabilistic Forecasting2410.09133 · 11 Oct 2024
  46. Understanding the Statistical Accuracy-Communication Trade-off in Personalized Federated Learning with Minimax Guarantees2410.08934 · 11 Oct 2024
  47. The MAPS Algorithm: Fast model-agnostic and distribution-free prediction intervals for supervised learning2410.08958 · 11 Oct 2024
  48. Analyzing Neural Scaling Laws in Two-Layer Networks with Power-Law Data Spectra2410.09005 · 11 Oct 2024
  49. Deterministic Fokker-Planck Transport -- With Applications to Sampling, Variational Inference, Kernel Mean Embeddings & Sequential Monte Carlo2410.18993 · 11 Oct 2024
  50. SOAK: Same/Other/All K-fold cross-validation for estimating similarity of patterns in data subsets2410.08643 · 11 Oct 2024
  51. Losing dimensions: Geometric memorization in generative diffusion2410.08727 · 11 Oct 2024
  52. Optimal Downsampling for Imbalanced Classification with Generalized Linear Models2410.08994 · 11 Oct 2024
  53. On Goodhart's law, with an application to value alignment2410.09638 · 12 Oct 2024
  54. Identification of Non-causal Graphical Models2410.09480 · 12 Oct 2024
  55. Data Deletion for Linear Regression with Noisy SGD2410.09311 · 12 Oct 2024
  56. COME: Test-time adaption by Conservatively Minimizing Entropy2410.10894 · 12 Oct 2024
  57. Combinatorial optimization of the coefficient of determination2410.09316 · 12 Oct 2024
  58. Replicable Uniformity Testing2410.10892 · 12 Oct 2024
  59. Variational Diffusion Posterior Sampling with Midpoint Guidance2410.09945 · 13 Oct 2024
  60. Gradient Span Algorithms Make Predictable Progress in High Dimension2410.09973 · 13 Oct 2024
  61. Statistical Test for Auto Feature Engineering by Selective Inference2410.19768 · 13 Oct 2024
  62. Provable Convergence and Limitations of Geometric Tempering for Langevin Dynamics2410.09697 · 13 Oct 2024
  63. DAG-aware Transformer for Causal Effect Estimation2410.10044 · 13 Oct 2024
  64. Transformers as Game Players: Provable In-context Game-playing Capabilities of Pre-trained Models2410.09701 · 13 Oct 2024
  65. Statistical Properties of Deep Neural Networks with Dependent Data2410.11113 · 14 Oct 2024
  66. Machine Learning for Inverse Problems and Data Assimilation2410.10523 · 14 Oct 2024
  67. Data-Driven Approaches for Modelling Target Behaviour2410.10538 · 14 Oct 2024
  68. Optimal and computationally tractable lower bounds for logistic log-likelihoods2410.10309 · 14 Oct 2024
  69. fastHDMI: Fast Mutual Information Estimation for High-Dimensional Data2410.10082 · 14 Oct 2024
  70. Learning via Surrogate PAC-Bayes2410.10230 · 14 Oct 2024
  71. Queueing Matching Bandits with Preference Feedback2410.10098 · 14 Oct 2024
  72. Coupled autoregressive active inference agents for control of multi-joint dynamical systems2410.10415 · 14 Oct 2024
  73. Variational Inference in Location-Scale Families: Exact Recovery of the Mean and Correlation Matrix2410.11067 · 14 Oct 2024
  74. A Benchmark Suite for Evaluating Neural Mutual Information Estimators on Unstructured Datasets2410.10924 · 14 Oct 2024
  75. High-Dimensional Differential Parameter Inference in Exponential Family using Time Score Matching2410.10637 · 14 Oct 2024
  76. A Two-Stage Federated Learning Approach for Industrial Prognostics Using Large-Scale High-Dimensional Signals2410.11101 · 14 Oct 2024
  77. Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal2410.10384 · 14 Oct 2024
  78. Neural Quasiprobabilistic Likelihood Ratio Estimation with Negatively Weighted Data2410.10216 · 14 Oct 2024
  79. Robust Gradient Descent for Phase Retrieval2410.10623 · 14 Oct 2024
  80. Sampling from Bayesian Neural Network Posteriors with Symmetric Minibatch Splitting Langevin Dynamics2410.19780 · 14 Oct 2024
  81. Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples2410.11227 · 15 Oct 2024
  82. Zero-shot Model-based Reinforcement Learning using Large Language Models2410.11711 · 15 Oct 2024
  83. On Rank-Dependent Generalisation Error Bounds for Transformers2410.11500 · 15 Oct 2024
  84. Parametric model reduction of mean-field and stochastic systems via higher-order action matching2410.12000 · 15 Oct 2024
  85. Bayesian Experimental Design via Contrastive Diffusions2410.11826 · 15 Oct 2024
  86. Stein's method for marginals on large graphical models2410.11771 · 15 Oct 2024
  87. Stochastic diagonal estimation with adaptive parameter selection2410.11613 · 15 Oct 2024
  88. Quadratic Gating Mixture of Experts: Statistical Insights into Self-Attention2410.11222 · 15 Oct 2024
  89. Deep Optimal Sensor Placement for Black Box Stochastic Simulations2410.12036 · 15 Oct 2024
  90. Learning with Importance Weighted Variational Inference2410.12035 · 15 Oct 2024
  91. Credal Two-Sample Tests of Epistemic Uncertainty2410.12921 · 16 Oct 2024
  92. Global Censored Quantile Random Forest2410.12209 · 16 Oct 2024
  93. Local transfer learning Gaussian process modeling, with applications to surrogate modeling of expensive computer simulators2410.12690 · 16 Oct 2024
  94. Efficient Optimization Algorithms for Linear Adversarial Training2410.12677 · 16 Oct 2024
  95. Ab Initio Nonparametric Variable Selection for Scalable Symbolic Regression with Large $p$2410.13681 · 17 Oct 2024
  96. Feedback Schrödinger Bridge Matching2410.14055 · 17 Oct 2024
  97. Distributional Matrix Completion via Nearest Neighbors in the Wasserstein Space2410.13112 · 17 Oct 2024
  98. Recurrent Neural Goodness-of-Fit Test for Time Series2410.13986 · 17 Oct 2024
  99. Tensor Decomposition with Unaligned Observations2410.14046 · 17 Oct 2024
  100. L1-Regularized ICA: A Novel Method for Analysis of Task-related fMRI Data2410.13171 · 17 Oct 2024