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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. Noise-Aware Differentially Private Variational Inference2410.19371 · 25 Oct 2024
  2. On the Benefits of Active Data Collection in Operator Learning2410.19725 · 25 Oct 2024
  3. Considerations for Distribution Shift Robustness of Diagnostic Models in Healthcare2410.19575 · 25 Oct 2024
  4. Statistical Inference in Classification of High-dimensional Gaussian Mixture2410.19950 · 25 Oct 2024
  5. Certifiably Robust Model Evaluation in Federated Learning under Meta-Distributional Shifts2410.20250 · 26 Oct 2024
  6. On the Gaussian process limit of Bayesian Additive Regression Trees2410.20289 · 26 Oct 2024
  7. Near-Optimal Streaming Heavy-Tailed Statistical Estimation with Clipped SGD2410.20135 · 26 Oct 2024
  8. Low-rank Bayesian matrix completion via geodesic Hamiltonian Monte Carlo on Stiefel manifolds2410.20318 · 27 Oct 2024
  9. Kernel Approximation of Fisher-Rao Gradient Flows2410.20622 · 27 Oct 2024
  10. Near Optimal Pure Exploration in Logistic Bandits2410.20640 · 28 Oct 2024
  11. A Stein Gradient Descent Approach for Doubly Intractable Distributions2410.21021 · 28 Oct 2024
  12. BanditCAT and AutoIRT: Machine Learning Approaches to Computerized Adaptive Testing and Item Calibration2410.21033 · 28 Oct 2024
  13. A Statistical Analysis of Deep Federated Learning for Intrinsically Low-dimensional Data2410.20659 · 28 Oct 2024
  14. Likelihood approximations via Gaussian approximate inference2410.20754 · 28 Oct 2024
  15. Foundations of Safe Online Reinforcement Learning in the Linear Quadratic Regulator: Generalized Baselines2410.21081 · 28 Oct 2024
  16. High-Dimensional Gaussian Process Regression with Soft Kernel Interpolation2410.21419 · 28 Oct 2024
  17. Deep Learning Methods for the Noniterative Conditional Expectation G-Formula for Causal Inference from Complex Observational Data2410.21531 · 28 Oct 2024
  18. Scaling-based Data Augmentation for Generative Models and its Theoretical Extension2410.20780 · 28 Oct 2024
  19. Injectivity capacity of ReLU gates2410.20646 · 28 Oct 2024
  20. Robust Estimation for Kernel Exponential Families with Smoothed Total Variation Distances2410.20760 · 28 Oct 2024
  21. Minimax optimality of deep neural networks on dependent data via PAC-Bayes bounds2410.21702 · 29 Oct 2024
  22. Batch, match, and patch: low-rank approximations for score-based variational inference2410.22292 · 29 Oct 2024
  23. Hierarchical mixtures of Unigram models for short text clustering: The role of Beta-Liouville priors2410.21862 · 29 Oct 2024
  24. Privacy-Preserving Dynamic Assortment Selection2410.22488 · 29 Oct 2024
  25. Do Vendi Scores Converge with Finite Samples? Truncated Vendi Score for Finite-Sample Convergence Guarantees2410.21719 · 29 Oct 2024
  26. Hamiltonian Monte Carlo on ReLU Neural Networks is Inefficient2410.22065 · 29 Oct 2024
  27. Deep Q-Exponential Processes2410.22119 · 29 Oct 2024
  28. Exponentially Consistent Statistical Classification of Continuous Sequences with Distribution Uncertainty2410.21799 · 29 Oct 2024
  29. Individualised recovery trajectories of patients with impeded mobility, using distance between probability distributions of learnt graphs2410.21983 · 29 Oct 2024
  30. Feature Responsiveness Scores: Model-Agnostic Explanations for Recourse2410.22598 · 29 Oct 2024
  31. The Effects of Multi-Task Learning on ReLU Neural Network Functions2410.21696 · 29 Oct 2024
  32. Identifiability Analysis of Linear ODE Systems with Hidden Confounders2410.21917 · 29 Oct 2024
  33. Refined Risk Bounds for Unbounded Losses via Transductive Priors2410.21621 · 29 Oct 2024
  34. Node Regression on Latent Position Random Graphs via Local Averaging2410.21987 · 29 Oct 2024
  35. Functional Gradient Flows for Constrained Sampling2410.23170 · 30 Oct 2024
  36. All or None: Identifiable Linear Properties of Next-token Predictors in Language Modeling2410.23501 · 30 Oct 2024
  37. Identifying Drift, Diffusion, and Causal Structure from Temporal Snapshots2410.22729 · 30 Oct 2024
  38. Graph Integration for Diffusion-Based Manifold Alignment2410.22978 · 30 Oct 2024
  39. Generalization Bounds via Conditional $f$-Information2410.22887 · 30 Oct 2024
  40. Hyperparameter Optimization in Machine Learning2410.22854 · 30 Oct 2024
  41. Provably Optimal Memory Capacity for Modern Hopfield Models: Transformer-Compatible Dense Associative Memories as Spherical Codes2410.23126 · 30 Oct 2024
  42. Improved convergence rate of kNN graph Laplacians: differentiable self-tuned affinity2410.23212 · 30 Oct 2024
  43. Very fast Bayesian Additive Regression Trees on GPU2410.23244 · 30 Oct 2024
  44. An Overview of Causal Inference using Kernel Embeddings2410.22754 · 30 Oct 2024
  45. Prospective Learning: Learning for a Dynamic Future2411.00109 · 31 Oct 2024
  46. Demystifying Linear MDPs and Novel Dynamics Aggregation Framework2410.24089 · 31 Oct 2024
  47. Inclusive KL Gradient Flows: Otto-Wasserstein, Fisher-Rao-Gaussian, and Local-Estimator Dynamics2411.00214 · 31 Oct 2024
  48. Projected random forests and conformal prediction of circular data2410.24145 · 31 Oct 2024
  49. Minimum Empirical Divergence for Sub-Gaussian Linear Bandits2411.00229 · 31 Oct 2024
  50. Linearized Wasserstein Barycenters: Synthesis, Analysis, Representational Capacity, and Applications2410.23602 · 31 Oct 2024
  51. EigenVI: score-based variational inference with orthogonal function expansions2410.24054 · 31 Oct 2024
  52. Global Convergence in Training Large-Scale Transformers2410.23610 · 31 Oct 2024
  53. Learning Mixtures of Unknown Causal Interventions2411.00213 · 31 Oct 2024
  54. Disentangling Interpretable Factors with Supervised Independent Subspace Principal Component Analysis2410.23595 · 31 Oct 2024
  55. Residual Deep Gaussian Processes on Manifolds2411.00161 · 31 Oct 2024
  56. A Geometric Framework for Understanding Memorization in Generative Models2411.00113 · 31 Oct 2024
  57. Fast Spectrum Estimation of Some Kernel Matrices2411.00657 · 1 Nov 2024
  58. Magnitude Pruning of Large Pretrained Transformer Models with a Mixture Gaussian Prior2411.00969 · 1 Nov 2024
  59. Constrained Sampling with Primal-Dual Langevin Monte Carlo2411.00568 · 1 Nov 2024
  60. HAVER: Instance-Dependent Error Bounds for Maximum Mean Estimation and Applications to Q-Learning and Monte Carlo Tree Search2411.00405 · 1 Nov 2024
  61. How many classifiers do we need?2411.00328 · 1 Nov 2024
  62. Small coresets via negative dependence: DPPs, linear statistics, and concentration2411.00611 · 1 Nov 2024
  63. Automated Assessment of Residual Plots with Computer Vision Models2411.01001 · 1 Nov 2024
  64. Unified theory of upper confidence bound policies for bandit problems targeting total reward, maximal reward, and more2411.00339 · 1 Nov 2024
  65. Nonparametric estimation of Hawkes processes with RKHSs2411.00621 · 1 Nov 2024
  66. Learning with Hidden Factorial Structure2411.01375 · 2 Nov 2024
  67. Federated Learning with Relative Fairness2411.01161 · 2 Nov 2024
  68. Denoising Diffusions with Optimal Transport: Localization, Curvature, and Multi-Scale Complexity2411.01629 · 3 Nov 2024
  69. Strategic Conformal Prediction2411.01596 · 3 Nov 2024
  70. Counterfactual explainability and analysis of variance2411.01625 · 3 Nov 2024
  71. DSDE: Using Proportion Estimation to Improve Model Selection for Out-of-Distribution Detection2411.01487 · 3 Nov 2024
  72. Towards safe Bayesian optimization with Wiener kernel regression2411.02253 · 4 Nov 2024
  73. Targeted Learning for Variable Importance2411.02221 · 4 Nov 2024
  74. Learning Controlled Stochastic Differential Equations2411.01982 · 4 Nov 2024
  75. Sparse Max-Affine Regression2411.02225 · 4 Nov 2024
  76. Amortized Bayesian Experimental Design for Decision-Making2411.02064 · 4 Nov 2024
  77. Optimizing Multi-Scale Representations to Detect Effect Heterogeneity Using Earth Observation and Computer Vision: Applications to Two Anti-Poverty RCTs2411.02134 · 4 Nov 2024
  78. Stein Variational Newton Neural Network Ensembles2411.01887 · 4 Nov 2024
  79. Double Descent Meets Out-of-Distribution Detection: Theoretical Insights and Empirical Analysis on the role of model complexity2411.02184 · 4 Nov 2024
  80. Classifier Chain Networks for Multi-Label Classification2411.02638 · 4 Nov 2024
  81. Linear Causal Bandits: Unknown Graph and Soft Interventions2411.02383 · 4 Nov 2024
  82. A Directional Rockafellar-Uryasev Regression2411.02557 · 4 Nov 2024
  83. Generalizable and Robust Spectral Method for Multi-view Representation Learning2411.02138 · 4 Nov 2024
  84. Recursive Learning of Asymptotic Variational Objectives2411.02217 · 4 Nov 2024
  85. Elliptical Wishart distributions: information geometry, maximum likelihood estimator, performance analysis and statistical learning2411.02726 · 5 Nov 2024
  86. Point processes with event time uncertainty2411.02694 · 5 Nov 2024
  87. Solving stochastic partial differential equations using neural networks in the Wiener chaos expansion2411.03384 · 5 Nov 2024
  88. Online Data Collection for Efficient Semiparametric Inference2411.03195 · 5 Nov 2024
  89. Gradient Descent Finds Over-Parameterized Neural Networks with Sharp Generalization for Nonparametric Regression2411.02904 · 5 Nov 2024
  90. Correlating Variational Autoencoders Natively For Multi-View Imputation2411.03097 · 5 Nov 2024
  91. Generalization and Risk Bounds for Recurrent Neural Networks2411.02784 · 5 Nov 2024
  92. A Subsampling Based Neural Network for Spatial Data2411.03620 · 6 Nov 2024
  93. A Fundamental Accuracy--Robustness Trade-off in Regression and Classification2411.05853 · 6 Nov 2024
  94. Improved Regret of Linear Ensemble Sampling2411.03932 · 6 Nov 2024
  95. Graph neural networks and non-commuting operators2411.04265 · 6 Nov 2024
  96. ION-C: Integration of Overlapping Networks via Constraints2411.04243 · 6 Nov 2024
  97. Rising Rested Bandits: Lower Bounds and Efficient Algorithms2411.14446 · 6 Nov 2024
  98. Debiasing Synthetic Data Generated by Deep Generative Models2411.04216 · 6 Nov 2024
  99. Partial Structure Discovery is Sufficient for No-regret Learning in Causal Bandits2411.04054 · 6 Nov 2024
  100. Designing a Linearized Potential Function in Neural Network Optimization Using Csiszár Type of Tsallis Entropy2411.03611 · 6 Nov 2024