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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. Provably Optimal Memory Capacity for Modern Hopfield Models: Transformer-Compatible Dense Associative Memories as Spherical Codes2410.23126 · 30 Oct 2024
  2. Functional Gradient Flows for Constrained Sampling2410.23170 · 30 Oct 2024
  3. An Overview of Causal Inference using Kernel Embeddings2410.22754 · 30 Oct 2024
  4. All or None: Identifiable Linear Properties of Next-token Predictors in Language Modeling2410.23501 · 30 Oct 2024
  5. Very fast Bayesian Additive Regression Trees on GPU2410.23244 · 30 Oct 2024
  6. Residual Deep Gaussian Processes on Manifolds2411.00161 · 31 Oct 2024
  7. Projected random forests and conformal prediction of circular data2410.24145 · 31 Oct 2024
  8. Linearized Wasserstein Barycenters: Synthesis, Analysis, Representational Capacity, and Applications2410.23602 · 31 Oct 2024
  9. Demystifying Linear MDPs and Novel Dynamics Aggregation Framework2410.24089 · 31 Oct 2024
  10. Disentangling Interpretable Factors with Supervised Independent Subspace Principal Component Analysis2410.23595 · 31 Oct 2024
  11. EigenVI: score-based variational inference with orthogonal function expansions2410.24054 · 31 Oct 2024
  12. Learning Mixtures of Unknown Causal Interventions2411.00213 · 31 Oct 2024
  13. Prospective Learning: Learning for a Dynamic Future2411.00109 · 31 Oct 2024
  14. Global Convergence in Training Large-Scale Transformers2410.23610 · 31 Oct 2024
  15. Minimum Empirical Divergence for Sub-Gaussian Linear Bandits2411.00229 · 31 Oct 2024
  16. A Geometric Framework for Understanding Memorization in Generative Models2411.00113 · 31 Oct 2024
  17. Inclusive KL Gradient Flows: Otto-Wasserstein, Fisher-Rao-Gaussian, and Local-Estimator Dynamics2411.00214 · 31 Oct 2024
  18. Constrained Sampling with Primal-Dual Langevin Monte Carlo2411.00568 · 1 Nov 2024
  19. Fast Spectrum Estimation of Some Kernel Matrices2411.00657 · 1 Nov 2024
  20. Unified theory of upper confidence bound policies for bandit problems targeting total reward, maximal reward, and more2411.00339 · 1 Nov 2024
  21. HAVER: Instance-Dependent Error Bounds for Maximum Mean Estimation and Applications to Q-Learning and Monte Carlo Tree Search2411.00405 · 1 Nov 2024
  22. Automated Assessment of Residual Plots with Computer Vision Models2411.01001 · 1 Nov 2024
  23. Magnitude Pruning of Large Pretrained Transformer Models with a Mixture Gaussian Prior2411.00969 · 1 Nov 2024
  24. Nonparametric estimation of Hawkes processes with RKHSs2411.00621 · 1 Nov 2024
  25. Small coresets via negative dependence: DPPs, linear statistics, and concentration2411.00611 · 1 Nov 2024
  26. How many classifiers do we need?2411.00328 · 1 Nov 2024
  27. Federated Learning with Relative Fairness2411.01161 · 2 Nov 2024
  28. Learning with Hidden Factorial Structure2411.01375 · 2 Nov 2024
  29. Counterfactual explainability and analysis of variance2411.01625 · 3 Nov 2024
  30. DSDE: Using Proportion Estimation to Improve Model Selection for Out-of-Distribution Detection2411.01487 · 3 Nov 2024
  31. Denoising Diffusions with Optimal Transport: Localization, Curvature, and Multi-Scale Complexity2411.01629 · 3 Nov 2024
  32. Strategic Conformal Prediction2411.01596 · 3 Nov 2024
  33. Linear Causal Bandits: Unknown Graph and Soft Interventions2411.02383 · 4 Nov 2024
  34. Generalizable and Robust Spectral Method for Multi-view Representation Learning2411.02138 · 4 Nov 2024
  35. Targeted Learning for Variable Importance2411.02221 · 4 Nov 2024
  36. A Directional Rockafellar-Uryasev Regression2411.02557 · 4 Nov 2024
  37. Stein Variational Newton Neural Network Ensembles2411.01887 · 4 Nov 2024
  38. Classifier Chain Networks for Multi-Label Classification2411.02638 · 4 Nov 2024
  39. Sparse Max-Affine Regression2411.02225 · 4 Nov 2024
  40. Recursive Learning of Asymptotic Variational Objectives2411.02217 · 4 Nov 2024
  41. Double Descent Meets Out-of-Distribution Detection: Theoretical Insights and Empirical Analysis on the role of model complexity2411.02184 · 4 Nov 2024
  42. Learning Controlled Stochastic Differential Equations2411.01982 · 4 Nov 2024
  43. Optimizing Multi-Scale Representations to Detect Effect Heterogeneity Using Earth Observation and Computer Vision: Applications to Two Anti-Poverty RCTs2411.02134 · 4 Nov 2024
  44. Amortized Bayesian Experimental Design for Decision-Making2411.02064 · 4 Nov 2024
  45. Towards safe Bayesian optimization with Wiener kernel regression2411.02253 · 4 Nov 2024
  46. Correlating Variational Autoencoders Natively For Multi-View Imputation2411.03097 · 5 Nov 2024
  47. Elliptical Wishart distributions: information geometry, maximum likelihood estimator, performance analysis and statistical learning2411.02726 · 5 Nov 2024
  48. Solving stochastic partial differential equations using neural networks in the Wiener chaos expansion2411.03384 · 5 Nov 2024
  49. Online Data Collection for Efficient Semiparametric Inference2411.03195 · 5 Nov 2024
  50. Gradient Descent Finds Over-Parameterized Neural Networks with Sharp Generalization for Nonparametric Regression2411.02904 · 5 Nov 2024
  51. Generalization and Risk Bounds for Recurrent Neural Networks2411.02784 · 5 Nov 2024
  52. Point processes with event time uncertainty2411.02694 · 5 Nov 2024
  53. Partial Structure Discovery is Sufficient for No-regret Learning in Causal Bandits2411.04054 · 6 Nov 2024
  54. ION-C: Integration of Overlapping Networks via Constraints2411.04243 · 6 Nov 2024
  55. Debiasing Synthetic Data Generated by Deep Generative Models2411.04216 · 6 Nov 2024
  56. A Subsampling Based Neural Network for Spatial Data2411.03620 · 6 Nov 2024
  57. A Fundamental Accuracy--Robustness Trade-off in Regression and Classification2411.05853 · 6 Nov 2024
  58. Rising Rested Bandits: Lower Bounds and Efficient Algorithms2411.14446 · 6 Nov 2024
  59. Improved Regret of Linear Ensemble Sampling2411.03932 · 6 Nov 2024
  60. Graph neural networks and non-commuting operators2411.04265 · 6 Nov 2024
  61. Designing a Linearized Potential Function in Neural Network Optimization Using Csiszár Type of Tsallis Entropy2411.03611 · 6 Nov 2024
  62. Statistical-Computational Trade-offs for Recursive Adaptive Partitioning Estimators2411.04394 · 7 Nov 2024
  63. Pareto Set Identification With Posterior Sampling2411.04939 · 7 Nov 2024
  64. Conformalized Credal Regions for Classification with Ambiguous Ground Truth2411.04852 · 7 Nov 2024
  65. Compactly-supported nonstationary kernels for computing exact Gaussian processes on big data2411.05869 · 7 Nov 2024
  66. The sampling complexity of learning invertible residual neural networks2411.05453 · 8 Nov 2024
  67. Decentralized EM Algorithm for Gaussian Mixtures under Data Heterogeneity and Partial Labeling2411.05591 · 8 Nov 2024
  68. Multi-armed Bandits with Missing Outcome2411.05661 · 8 Nov 2024
  69. Cross-validating causal discovery via Leave-One-Variable-Out2411.05625 · 8 Nov 2024
  70. Deep Nonparametric Conditional Independence Tests for Images2411.06140 · 9 Nov 2024
  71. Amortized Bayesian Local Interpolation NetworK: Fast covariance parameter estimation for Gaussian Processes2411.06324 · 10 Nov 2024
  72. Unified Bayesian representation for high-dimensional multi-modal biomedical data for small-sample classification2411.07043 · 11 Nov 2024
  73. Conditional simulation via entropic optimal transport: Toward non-parametric estimation of conditional Brenier maps2411.07154 · 11 Nov 2024
  74. Constructing Gaussian Processes via Samplets2411.07277 · 11 Nov 2024
  75. Causal-discovery-based root-cause analysis and its application in time-series prediction error diagnosis2411.06990 · 11 Nov 2024
  76. Effect sizes as a statistical feature-selector-based learning to detect breast cancer2411.06868 · 11 Nov 2024
  77. Optimized Quality of Service prediction in FSO Links over South Africa using Ensemble Learning2411.06832 · 11 Nov 2024
  78. Quantifying Knowledge Distillation Using Partial Information Decomposition2411.07483 · 12 Nov 2024
  79. What Representational Similarity Measures Imply about Decodable Information2411.08197 · 12 Nov 2024
  80. A Tale of Two Cities: Pessimism and Opportunism in Offline Dynamic Pricing2411.08126 · 12 Nov 2024
  81. Tukey g-and-h neural network regression for non-Gaussian data2411.07957 · 12 Nov 2024
  82. Exogenous Randomness Empowering Random Forests2411.07554 · 12 Nov 2024
  83. Parameter Inference via Differentiable Diffusion Bridge Importance Sampling2411.08993 · 13 Nov 2024
  84. Deep Generative Demand Learning for Newsvendor and Pricing2411.08631 · 13 Nov 2024
  85. Minimax Optimal Two-Sample Testing under Local Differential Privacy2411.09064 · 13 Nov 2024
  86. Oblique Bayesian additive regression trees2411.08849 · 13 Nov 2024
  87. Conditional Local Importance by Quantile Expectations2411.08821 · 13 Nov 2024
  88. Microfoundation Inference for Strategic Prediction2411.08998 · 13 Nov 2024
  89. Counterfactual Uncertainty Quantification of Factual Estimand of Efficacy from Before-and-After Treatment Repeated Measures Randomized Controlled Trials2411.09635 · 14 Nov 2024
  90. Sparse Bayesian Generative Modeling for Compressive Sensing2411.09483 · 14 Nov 2024
  91. Conditional regression for the Nonlinear Single-Variable Model2411.09686 · 14 Nov 2024
  92. Hybrid deep additive neural networks2411.09175 · 14 Nov 2024
  93. Dense ReLU Neural Networks for Temporal-spatial Model2411.09961 · 15 Nov 2024
  94. Continuous Bayesian Model Selection for Multivariate Causal Discovery2411.10154 · 15 Nov 2024
  95. A unifying framework for generalised Bayesian online learning in non-stationary environments2411.10153 · 15 Nov 2024
  96. On the Universal Statistical Consistency of Expansive Hyperbolic Deep Convolutional Neural Networks2411.10128 · 15 Nov 2024
  97. Series Expansion of Probability of Correct Selection for Improved Finite Budget Allocation in Ranking and Selection2411.10695 · 16 Nov 2024
  98. An Investigation of Offline Reinforcement Learning in Factorisable Action Spaces2411.11088 · 17 Nov 2024
  99. Debiasing Watermarks for Large Language Models via Maximal Coupling2411.11203 · 17 Nov 2024
  100. Variational Bayesian Bow tie Neural Networks with Shrinkage2411.11132 · 17 Nov 2024