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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. Reproduction of IVFS algorithm for high-dimensional topology preservation feature selection2409.12195 · 23 Aug 2024
  2. Reproduction of scan B-statistic for kernel change-point detection algorithm2408.13146 · 23 Aug 2024
  3. Multi-Normal Prototypes Learning for Weakly Supervised Anomaly Detection2408.14498 · 23 Aug 2024
  4. Enhancing Uplift Modeling in Multi-Treatment Marketing Campaigns: Leveraging Score Ranking and Calibration Techniques2408.13628 · 24 Aug 2024
  5. Optimal Kernel Quantile Learning with Random Features2408.13591 · 24 Aug 2024
  6. Improved identification of breakpoints in piecewise regression and its applications2408.13751 · 25 Aug 2024
  7. General targeted machine learning for modern causal mediation analysis2408.14620 · 26 Aug 2024
  8. HyperSBINN: A Hypernetwork-Enhanced Systems Biology-Informed Neural Network for Efficient Drug Cardiosafety Assessment2408.14266 · 26 Aug 2024
  9. Optimal level set estimation for non-parametric tournament and crowdsourcing problems2408.15356 · 27 Aug 2024
  10. Low-Budget Simulation-Based Inference with Bayesian Neural Networks2408.15136 · 27 Aug 2024
  11. The Benefits of Balance: From Information Projections to Variance Reduction2408.15065 · 27 Aug 2024
  12. Analysis of Diagnostics (Part II): Prevalence, Linear Independence, and Unsupervised Learning2408.16035 · 28 Aug 2024
  13. Generalized Naive Bayes2408.15923 · 28 Aug 2024
  14. Statistical and Geometrical properties of regularized Kernel Kullback-Leibler divergence2408.16543 · 29 Aug 2024
  15. Adaptive Sample Aggregation In Transfer Learning2408.16189 · 29 Aug 2024
  16. Characterization of point-source transient events with a rolling-shutter compressed sensing system2408.16868 · 29 Aug 2024
  17. Probabilistic Decomposed Linear Dynamical Systems for Robust Discovery of Latent Neural Dynamics2408.16862 · 29 Aug 2024
  18. Minimax and Communication-Efficient Distributed Best Subset Selection with Oracle Property2408.17276 · 30 Aug 2024
  19. Learning Latent Space Dynamics with Model-Form Uncertainties: A Stochastic Reduced-Order Modeling Approach2409.00220 · 30 Aug 2024
  20. Higher order definition of causality by optimally conditioned transfer entropy2409.08295 · 30 Aug 2024
  21. Bayesian Optimization for Non-Convex Two-Stage Stochastic Optimization Problems2408.17387 · 30 Aug 2024
  22. Multi-Task Combinatorial Bandits for Budget Allocation2409.00561 · 31 Aug 2024
  23. Fairness in Survival Analysis with Distributionally Robust Optimization2409.10538 · 31 Aug 2024
  24. Sample Complexity of the Sign-Perturbed Sums Method2409.01243 · 2 Sept 2024
  25. On the optimal approximation of Sobolev and Besov functions using deep ReLU neural networks2409.00901 · 2 Sept 2024
  26. EnsLoss: Stochastic Calibrated Loss Ensembles for Preventing Overfitting in Classification2409.00908 · 2 Sept 2024
  27. Bootstrap SGD: Algorithmic Stability and Robustness2409.01074 · 2 Sept 2024
  28. Stein transport for Bayesian inference2409.01464 · 2 Sept 2024
  29. Beyond Unconstrained Features: Neural Collapse for Shallow Neural Networks with General Data2409.01832 · 3 Sept 2024
  30. UNSURE: self-supervised learning with Unknown Noise level and Stein's Unbiased Risk Estimate2409.01985 · 3 Sept 2024
  31. Generative Principal Component Regression via Variational Inference2409.02327 · 3 Sept 2024
  32. A sparse PAC-Bayesian approach for high-dimensional quantile prediction2409.01687 · 3 Sept 2024
  33. Smoothed Robust Phase Retrieval2409.01570 · 3 Sept 2024
  34. Deep non-parametric logistic model with case-control data and external summary information2409.01829 · 3 Sept 2024
  35. Hybridization of Persistent Homology with Neural Networks for Time-Series Prediction: A Case Study in Wave Height2409.01519 · 3 Sept 2024
  36. Graphons of Line Graphs2409.01656 · 3 Sept 2024
  37. Conformal Prediction in Dynamic Biological Systems2409.02644 · 4 Sept 2024
  38. Demographic parity in regression and classification within the unawareness framework2409.02471 · 4 Sept 2024
  39. Regularized Multi-output Gaussian Convolution Process with Domain Adaptation2409.02778 · 4 Sept 2024
  40. Introduction to Machine Learning2409.02668 · 4 Sept 2024
  41. Optimal sampling for least-squares approximation2409.02342 · 4 Sept 2024
  42. Maximum likelihood inference for high-dimensional problems with multiaffine variable relations2409.03495 · 5 Sept 2024
  43. Survey of Data-driven Newsvendor: Unified Analysis and Spectrum of Achievable Regrets2409.03505 · 5 Sept 2024
  44. Iterative thresholding for non-linear learning in the strong $\varepsilon$-contamination model2409.03703 · 5 Sept 2024
  45. Active Sampling of Interpolation Points to Identify Dominant Subspaces for Model Reduction2409.03892 · 5 Sept 2024
  46. Distributionally Robust Optimisation with Bayesian Ambiguity Sets2409.03492 · 5 Sept 2024
  47. DART2: a robust multiple testing method to smartly leverage helpful or misleading ancillary information2409.03618 · 5 Sept 2024
  48. Resultant: Incremental Effectiveness on Likelihood for Unsupervised Out-of-Distribution Detection2409.03801 · 5 Sept 2024
  49. A method to benchmark high-dimensional process drift detection2409.03669 · 5 Sept 2024
  50. Non-stationary and Sparsely-correlated Multi-output Gaussian Process with Spike-and-Slab Prior2409.03149 · 5 Sept 2024
  51. Semi-Supervised Sparse Gaussian Classification: Provable Benefits of Unlabeled Data2409.03335 · 5 Sept 2024
  52. Leveraging Machine Learning for Official Statistics: A Statistical Manifesto2409.04365 · 6 Sept 2024
  53. Half-VAE: An Encoder-Free VAE to Bypass Explicit Inverse Mapping2409.04140 · 6 Sept 2024
  54. Benchmarking Estimators for Natural Experiments: A Novel Dataset and a Doubly Robust Algorithm2409.04500 · 6 Sept 2024
  55. Entry-Specific Matrix Estimation under Arbitrary Sampling Patterns through the Lens of Network Flows2409.03980 · 6 Sept 2024
  56. Sliding-Window Thompson Sampling for Non-Stationary Settings2409.05181 · 8 Sept 2024
  57. Empowering Bayesian Neural Networks with Functional Priors through Anchored Ensembling for Mechanics Surrogate Modeling Applications2409.05234 · 8 Sept 2024
  58. Bridging Rested and Restless Bandits with Graph-Triggering: Rising and Rotting2409.05980 · 9 Sept 2024
  59. Robust Non-adaptive Group Testing under Errors in Group Membership Specifications2409.05345 · 9 Sept 2024
  60. LLMs Will Always Hallucinate, and We Need to Live With This2409.05746 · 9 Sept 2024
  61. Recursive Nested Filtering for Efficient Amortized Bayesian Experimental Design2409.05354 · 9 Sept 2024
  62. Approximation Bounds for Recurrent Neural Networks with Application to Regression2409.05577 · 9 Sept 2024
  63. K-Fold Causal BART for CATE Estimation2409.05665 · 9 Sept 2024
  64. Optimal Projections for Classification with Naive Bayes2409.05635 · 9 Sept 2024
  65. When resampling/reweighting improves feature learning in imbalanced classification?: A toy-model study2409.05598 · 9 Sept 2024
  66. Modified Meta-Thompson Sampling for Linear Bandits and Its Bayes Regret Analysis2409.06329 · 10 Sept 2024
  67. Advancing Causal Inference: A Nonparametric Approach to ATE and CATE Estimation with Continuous Treatments2409.06593 · 10 Sept 2024
  68. Variational Search Distributions2409.06142 · 10 Sept 2024
  69. Bounds on the Generalization Error in Active Learning2409.09078 · 10 Sept 2024
  70. Learning Representations for Independence Testing2409.06890 · 10 Sept 2024
  71. Constructive Universal Approximation and Finite Sample Memorization by Narrow Deep ReLU Networks2409.06555 · 10 Sept 2024
  72. A new paradigm for global sensitivity analysis2409.06271 · 10 Sept 2024
  73. A Primer on Variational Inference for Physics-Informed Deep Generative Modelling2409.06560 · 10 Sept 2024
  74. Weather-Informed Probabilistic Forecasting and Scenario Generation in Power Systems2409.07637 · 11 Sept 2024
  75. Gaussian Process Upper Confidence Bounds in Distributed Point Target Tracking over Wireless Sensor Networks2409.07652 · 11 Sept 2024
  76. Asymptotics of Stochastic Gradient Descent with Dropout Regularization in Linear Models2409.07434 · 11 Sept 2024
  77. Training-Free Guidance for Discrete Diffusion Models for Molecular Generation2409.07359 · 11 Sept 2024
  78. Federated $\mathcal{X}$-armed Bandit with Flexible Personalisation2409.07251 · 11 Sept 2024
  79. Is merging worth it? Securely evaluating the information gain for causal dataset acquisition2409.07215 · 11 Sept 2024
  80. From optimal score matching to optimal sampling2409.07032 · 11 Sept 2024
  81. Toward Model-Agnostic Detection of New Physics Using Data-Driven Signal Regions2409.06960 · 11 Sept 2024
  82. k-MLE, k-Bregman, k-VARs: Theory, Convergence, Computation2409.06938 · 11 Sept 2024
  83. A Practical Theory of Generalization in Selectivity Learning2409.07014 · 11 Sept 2024
  84. Localized Schrödinger Bridge Sampler2409.07968 · 12 Sept 2024
  85. Theoretical guarantees in KL for Diffusion Flow Matching2409.08311 · 12 Sept 2024
  86. Randomized Spline Trees for Functional Data Classification: Theory and Application to Environmental Time Series2409.07879 · 12 Sept 2024
  87. Dataset-Free Weight-Initialization on Restricted Boltzmann Machine2409.07708 · 12 Sept 2024
  88. Critically Damped Third-Order Langevin Dynamics2409.07697 · 12 Sept 2024
  89. Ratio Divergence Learning Using Target Energy in Restricted Boltzmann Machines: Beyond Kullback--Leibler Divergence Learning2409.07679 · 12 Sept 2024
  90. Federated One-Shot Ensemble Clustering2409.08396 · 12 Sept 2024
  91. Model-independent variable selection via the rule-based variable priority2409.09003 · 13 Sept 2024
  92. Think Twice Before You Act: Improving Inverse Problem Solving With MCMC2409.08551 · 13 Sept 2024
  93. A Bayesian Approach to Clustering via the Proper Bayesian Bootstrap: the Bayesian Bagged Clustering (BBC) algorithm2409.08954 · 13 Sept 2024
  94. Multi forests: Variable importance for multi-class outcomes2409.08925 · 13 Sept 2024
  95. Learning to Detect Cyber Attacks: Neural Anomaly Detection for Cybersecurity with Theoretical Insights2409.08521 · 13 Sept 2024
  96. Hyperedge Representations with Hypergraph Wavelets: Applications to Spatial Transcriptomics2409.09469 · 14 Sept 2024
  97. Topological Eigenvalue Theorems for Tensor Analysis in Multi-Modal Data Fusion2409.09392 · 14 Sept 2024
  98. Conditional sampling within generative diffusion models2409.09650 · 15 Sept 2024
  99. A clustering adaptive Gaussian process regression method: response patterns based real-time prediction for nonlinear solid mechanics problems2409.10572 · 15 Sept 2024
  100. Learning large softmax mixtures with warm start EM2409.09903 · 16 Sept 2024