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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. Modeling High-Resolution Spatio-Temporal Wind with Deep Echo State Networks and Stochastic Partial Differential Equations2412.07265 · 10 Dec 2024
  2. Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences2412.07763 · 10 Dec 2024
  3. Optimization Can Learn Johnson Lindenstrauss Embeddings2412.07242 · 10 Dec 2024
  4. How to Choose a Threshold for an Evaluation Metric for Large Language Models2412.12148 · 10 Dec 2024
  5. Low-Rank Correction for Quantized LLMs2412.07902 · 10 Dec 2024
  6. An Optimistic Algorithm for Online Convex Optimization with Adversarial Constraints2412.08060 · 11 Dec 2024
  7. Precise Asymptotics and Refined Regret of Variance-Aware UCB2412.08843 · 12 Dec 2024
  8. $(ε, δ)$-Differentially Private Partial Least Squares Regression2412.09164 · 12 Dec 2024
  9. Distribution free uncertainty quantification in neuroscience-inspired deep operators2412.09369 · 12 Dec 2024
  10. Wait-Less Offline Tuning and Re-solving for Online Decision Making2412.09594 · 12 Dec 2024
  11. Belted and Ensembled Neural Network for Linear and Nonlinear Sufficient Dimension Reduction2412.08961 · 12 Dec 2024
  12. Langevin Monte Carlo Beyond Lipschitz Gradient Continuity2412.09698 · 12 Dec 2024
  13. Investigating the Impact of Balancing, Filtering, and Complexity on Predictive Multiplicity: A Data-Centric Perspective2412.09712 · 12 Dec 2024
  14. Matrix Completion via Residual Spectral Matching2412.10005 · 13 Dec 2024
  15. A Statistical Analysis for Supervised Deep Learning with Exponential Families for Intrinsically Low-dimensional Data2412.09779 · 13 Dec 2024
  16. Generative Modeling with Diffusion2412.10948 · 14 Dec 2024
  17. From XAI to MLOps: Explainable Concept Drift Detection with Profile Drift Detection2412.11308 · 15 Dec 2024
  18. Deep Learning-based Approaches for State Space Models: A Selective Review2412.11211 · 15 Dec 2024
  19. Prediction-Enhanced Monte Carlo: A Machine Learning View on Control Variate2412.11257 · 15 Dec 2024
  20. Representation learning of dynamic networks2412.11065 · 15 Dec 2024
  21. Conditional Diffusion Models Based Conditional Independence Testing2412.11744 · 16 Dec 2024
  22. Bayesian Surrogate Training on Multiple Data Sources: A Hybrid Modeling Strategy2412.11875 · 16 Dec 2024
  23. Generalization Analysis for Deep Contrastive Representation Learning2412.12014 · 16 Dec 2024
  24. Learning Massive-scale Partial Correlation Networks in Clinical Multi-omics Studies with HP-ACCORD2412.11554 · 16 Dec 2024
  25. BetaExplainer: A Probabilistic Method to Explain Graph Neural Networks2412.11964 · 16 Dec 2024
  26. Generalized Bayesian deep reinforcement learning2412.11743 · 16 Dec 2024
  27. Sequential Harmful Shift Detection Without Labels2412.12910 · 17 Dec 2024
  28. Adversarially robust generalization theory via Jacobian regularization for deep neural networks2412.12449 · 17 Dec 2024
  29. On Model Extrapolation in Marginal Shapley Values2412.13158 · 17 Dec 2024
  30. BOIDS: High-dimensional Bayesian Optimization via Incumbent-guided Direction Lines and Subspace Embeddings2412.12918 · 17 Dec 2024
  31. Time-Reversible Bridges of Data with Machine Learning2412.13665 · 18 Dec 2024
  32. On the Robustness of Spectral Algorithms for Semirandom Stochastic Block Models2412.14315 · 18 Dec 2024
  33. Subspace Langevin Monte Carlo2412.13928 · 18 Dec 2024
  34. jinns: a JAX Library for Physics-Informed Neural Networks2412.14132 · 18 Dec 2024
  35. Statistical Undersampling with Mutual Information and Support Points2412.14527 · 19 Dec 2024
  36. From Point to probabilistic gradient boosting for claim frequency and severity prediction2412.14916 · 19 Dec 2024
  37. Enhancing Masked Time-Series Modeling via Dropping Patches2412.15315 · 19 Dec 2024
  38. On Robust Cross Domain Alignment2412.15861 · 20 Dec 2024
  39. Learning sparsity-promoting regularizers for linear inverse problems2412.16031 · 20 Dec 2024
  40. Deep learning joint extremes of metocean variables using the SPAR model2412.15808 · 20 Dec 2024
  41. Using matrix-product states for time-series machine learning2412.15826 · 20 Dec 2024
  42. Robust Random Graph Matching in Dense Graphs via an Approximate Message Passing Type Algorithm2412.16457 · 21 Dec 2024
  43. Fast Multi-Group Gaussian Process Factor Models2412.16773 · 21 Dec 2024
  44. Gradient-Based Non-Linear Inverse Learning2412.16794 · 21 Dec 2024
  45. Integrating Random Effects in Variational Autoencoders for Dimensionality Reduction of Correlated Data2412.16899 · 22 Dec 2024
  46. More is Less? A Simulation-Based Approach to Dynamic Interactions between Biases in Multimodal Models2412.17505 · 23 Dec 2024
  47. An information theoretic limit to data amplification2412.18041 · 23 Dec 2024
  48. Minimax Optimal Simple Regret in Two-Armed Best-Arm Identification2412.17753 · 23 Dec 2024
  49. Optimal Convergence Rates for Neural Operators2412.17518 · 23 Dec 2024
  50. Probability-density-aware Semi-supervised Learning2412.17547 · 23 Dec 2024
  51. Data-Driven Priors in the Maximum Entropy on the Mean Method for Linear Inverse Problems2412.17916 · 23 Dec 2024
  52. Learning from Summarized Data: Gaussian Process Regression with Sample Quasi-Likelihood2412.17455 · 23 Dec 2024
  53. Convergence of Statistical Estimators via Mutual Information Bounds2412.18539 · 24 Dec 2024
  54. Gaussian entropic optimal transport: Schrödinger bridges and the Sinkhorn algorithm2412.18432 · 24 Dec 2024
  55. A Statistical Framework for Ranking LLM-Based Chatbots2412.18407 · 24 Dec 2024
  56. Heterogeneous transfer learning for high-dimensional regression with feature mismatch2412.18081 · 24 Dec 2024
  57. Subsampling, aligning, and averaging to find circular coordinates in recurrent time series2412.18515 · 24 Dec 2024
  58. Fréchet regression with implicit denoising and multicollinearity reduction2412.18247 · 24 Dec 2024
  59. HNCI: High-Dimensional Network Causal Inference2412.18568 · 24 Dec 2024
  60. Generative Models with ELBOs Converging to Entropy Sums2501.09022 · 25 Dec 2024
  61. Localized exploration in contextual dynamic pricing achieves dimension-free regret2412.19252 · 26 Dec 2024
  62. Adaptive Conformal Inference by Betting2412.19318 · 26 Dec 2024
  63. Neural Networks Perform Sufficient Dimension Reduction2412.19033 · 26 Dec 2024
  64. Deep ReLU networks -- injectivity capacity upper bounds2412.19677 · 27 Dec 2024
  65. Low-Rank Contextual Reinforcement Learning from Heterogeneous Human Feedback2412.19436 · 27 Dec 2024
  66. Surrogate Modeling for Explainable Predictive Time Series Corrections2412.19897 · 27 Dec 2024
  67. Learning to Forget: Bayesian Time Series Forecasting using Recurrent Sparse Spectrum Signature Gaussian Processes2412.19727 · 27 Dec 2024
  68. Causal machine learning for heterogeneous treatment effects in the presence of missing outcome data2412.19711 · 27 Dec 2024
  69. A new approach to locally adaptive polynomial regression2412.19802 · 27 Dec 2024
  70. Deep Continuous-Time State-Space Models for Marked Event Sequences2412.19634 · 27 Dec 2024
  71. Asymptotically Optimal Search for a Change Point Anomaly under a Composite Hypothesis Model2412.19392 · 27 Dec 2024
  72. Deep Generalized Schrödinger Bridges: From Image Generation to Solving Mean-Field Games2412.20279 · 28 Dec 2024
  73. Testing and Improving the Robustness of Amortized Bayesian Inference for Cognitive Models2412.20586 · 29 Dec 2024
  74. Distributionally Robust Optimization via Iterative Algorithms in Continuous Probability Spaces2412.20556 · 29 Dec 2024
  75. Matrix Concentration for Random Signed Graphs and Community Recovery in the Signed Stochastic Block Model2412.20620 · 29 Dec 2024
  76. Confidence Interval Construction and Conditional Variance Estimation with Dense ReLU Networks2412.20355 · 29 Dec 2024
  77. Post Launch Evaluation of Policies in a High-Dimensional Setting2501.00119 · 30 Dec 2024
  78. Towards Reliable Recommender Systems for Rating Data2412.20802 · 30 Dec 2024
  79. Soft Diamond Regularizers for Deep Learning2412.20724 · 30 Dec 2024
  80. Uncertainty-Aware Out-of-Distribution Detection with Gaussian Processes2412.20918 · 30 Dec 2024
  81. Different thresholding methods on Nearest Shrunken Centroid algorithm2501.00632 · 31 Dec 2024
  82. Efficient Human-in-the-Loop Active Learning: A Novel Framework for Data Labeling in AI Systems2501.00277 · 31 Dec 2024
  83. Assessing the Distributional Fidelity of Synthetic Chest X-rays using the Embedded Characteristic Score2501.00744 · 1 Jan 2025
  84. On the Implementation of a Bayesian Optimization Framework for Interconnected Systems2501.00967 · 1 Jan 2025
  85. Ensuring superior learning outcomes and data security for authorized learner2501.00754 · 1 Jan 2025
  86. An AI-powered Bayesian generative modeling approach for causal inference in observational studies2501.00755 · 1 Jan 2025
  87. Learning Spectral Methods by Transformers2501.01312 · 2 Jan 2025
  88. Deep Discrete Encoders: Identifiable Deep Generative Models for Rich Data with Discrete Latent Layers2501.01414 · 2 Jan 2025
  89. Unified Native Spaces in Kernel Methods2501.01825 · 3 Jan 2025
  90. Signal Recovery Using a Spiked Mixture Model2501.01840 · 3 Jan 2025
  91. Guaranteed Nonconvex Low-Rank Tensor Estimation via Scaled Gradient Descent2501.01696 · 3 Jan 2025
  92. Modeling COVID-19 spread in the USA using metapopulation SIR models coupled with graph convolutional neural networks2501.02043 · 3 Jan 2025
  93. Majorization-Minimization Dual Stagewise Algorithm for Generalized Lasso2501.02197 · 4 Jan 2025
  94. A Training-free Method for LLM Text Attribution2501.02406 · 4 Jan 2025
  95. Robust Multi-Dimensional Scaling via Accelerated Alternating Projections2501.02208 · 4 Jan 2025
  96. ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification2501.14785 · 4 Jan 2025
  97. Beyond Log-Concavity and Score Regularity: Improved Convergence Bounds for Score-Based Generative Models in W2-distance2501.02298 · 4 Jan 2025
  98. Re-examining Granger Causality with Causal Bayesian Networks and Reichenbachs Principles2501.02672 · 5 Jan 2025
  99. Transformers Simulate MLE for Sequence Generation in Bayesian Networks2501.02547 · 5 Jan 2025
  100. A Statistical Hypothesis Testing Framework for Data Misappropriation Detection in Large Language Models2501.02441 · 5 Jan 2025