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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. SNPL: Simultaneous Policy Learning and Evaluation for Safe Multi-Objective Policy Improvement2503.12760 · 17 Mar 2025
  2. Do you understand epistemic uncertainty? Think again! Rigorous frequentist epistemic uncertainty estimation in regression2503.13317 · 17 Mar 2025
  3. Estimating stationary mass, frequency by frequency2503.12808 · 17 Mar 2025
  4. E-Values Expand the Scope of Conformal Prediction2503.13050 · 17 Mar 2025
  5. Detecting Scarce and Sparse Anomalous: Solving Dual Imbalance in Multi-Instance Learning2503.13562 · 17 Mar 2025
  6. Empirical risk minimization algorithm for multiclass classification of S.D.E. paths2503.14045 · 18 Mar 2025
  7. Fundamental Limits of Matrix Sensing: Exact Asymptotics, Universality, and Applications2503.14121 · 18 Mar 2025
  8. ROCK: A variational formulation for occupation kernel methods in Reproducing Kernel Hilbert Spaces2503.13791 · 18 Mar 2025
  9. Doubly robust identification of treatment effects from multiple environments2503.14459 · 18 Mar 2025
  10. Online Conformal Probabilistic Numerics via Adaptive Edge-Cloud Offloading2503.14453 · 18 Mar 2025
  11. Optimizing High-Dimensional Oblique Splits2503.14381 · 18 Mar 2025
  12. Variational Autoencoded Multivariate Spatial Fay-Herriot Models2503.14710 · 18 Mar 2025
  13. Tuning Sequential Monte Carlo Samplers via Greedy Incremental Divergence Minimization2503.15704 · 19 Mar 2025
  14. The Hardness of Validating Observational Studies with Experimental Data2503.14795 · 19 Mar 2025
  15. Hierarchical clustering with maximum density paths and mixture models2503.15582 · 19 Mar 2025
  16. Online federated learning framework for classification2503.15210 · 19 Mar 2025
  17. Nonlinear Bayesian Update via Ensemble Kernel Regression with Clustering and Subsampling2503.15160 · 19 Mar 2025
  18. Interpretability of Graph Neural Networks to Assess Effects of Global Change Drivers on Ecological Networks2503.15107 · 19 Mar 2025
  19. Robustness of Nonlinear Representation Learning2503.15355 · 19 Mar 2025
  20. EarlyStopping: Implicit Regularization for Iterative Learning Procedures in Python2503.16753 · 20 Mar 2025
  21. Sparse Nonparametric Contextual Bandits2503.16382 · 20 Mar 2025
  22. Procrustes Wasserstein Metric: A Modified Benamou-Brenier Approach with Applications to Latent Gaussian Distributions2503.16580 · 20 Mar 2025
  23. Revenue Maximization Under Sequential Price Competition Via The Estimation Of s-Concave Demand Functions2503.16737 · 20 Mar 2025
  24. Interpretable Neural Causal Models with TRAM-DAGs2503.16206 · 20 Mar 2025
  25. Learning to Solve Related Linear Systems2503.17265 · 21 Mar 2025
  26. Generative adversarial framework to calibrate excursion set models for the 3D morphology of all-solid-state battery cathodes2503.17171 · 21 Mar 2025
  27. A Statistical Theory of Contrastive Learning via Approximate Sufficient Statistics2503.17538 · 21 Mar 2025
  28. SPARKLE: A Nonparametric Approach for Online Decision-Making with High-Dimensional Covariates2503.16941 · 21 Mar 2025
  29. Online Selective Conformal Prediction: Errors and Solutions2503.16809 · 21 Mar 2025
  30. Calibration Strategies for Robust Causal Estimation: Theoretical and Empirical Insights on Propensity Score-Based Estimators2503.17290 · 21 Mar 2025
  31. Communities in the Kuramoto Model: Dynamics and Detection via Path Signatures2503.17546 · 21 Mar 2025
  32. Understanding Inverse Reinforcement Learning under Overparameterization: Non-Asymptotic Analysis and Global Optimality2503.17865 · 22 Mar 2025
  33. Poisson-Process Topic Model for Integrating Knowledge from Pre-trained Language Models2503.17809 · 22 Mar 2025
  34. CAE: Repurposing the Critic as an Explorer in Deep Reinforcement Learning2503.18980 · 23 Mar 2025
  35. Quantile-Based Randomized Kaczmarz for Corrupted Tensor Linear Systems2503.18190 · 23 Mar 2025
  36. Universal Architectures for the Learning of Polyhedral Norms and Convex Regularizers2503.19190 · 24 Mar 2025
  37. Learning a Class of Mixed Linear Regressions: Global Convergence under General Data Conditions2503.18500 · 24 Mar 2025
  38. Minimum Volume Conformal Sets for Multivariate Regression2503.19068 · 24 Mar 2025
  39. Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems2503.18309 · 24 Mar 2025
  40. Fundamental Safety-Capability Trade-offs in Fine-tuning Large Language Models2503.20807 · 24 Mar 2025
  41. A New Stochastic Approximation Method for Gradient-based Simulated Parameter Estimation2503.18319 · 24 Mar 2025
  42. AutoBayes: A Compositional Framework for Generalized Variational Inference2503.18608 · 24 Mar 2025
  43. A stochastic gradient descent algorithm with random search directions2503.19942 · 25 Mar 2025
  44. Interpretable Deep Regression Models with Interval-Censored Failure Time Data2503.19763 · 25 Mar 2025
  45. Centroid Decision Forest2503.19306 · 25 Mar 2025
  46. Causal Bayesian Optimization with Unknown Graphs2503.19554 · 25 Mar 2025
  47. On the Robustness of Kernel Ridge Regression Using the Cauchy Loss Function2503.20120 · 26 Mar 2025
  48. Debiasing Kernel-Based Generative Models2503.20825 · 26 Mar 2025
  49. Learning Data-Driven Uncertainty Set Partitions for Robust and Adaptive Energy Forecasting with Missing Data2503.20410 · 26 Mar 2025
  50. An $(ε,δ)$-accurate level set estimation with a stopping criterion2503.20272 · 26 Mar 2025
  51. Continual learning via probabilistic exchangeable sequence modelling2503.20725 · 26 Mar 2025
  52. Regression-Based Estimation of Causal Effects in the Presence of Selection Bias and Confounding2503.20546 · 26 Mar 2025
  53. Nonlinear Multiple Response Regression and Learning of Latent Spaces2503.21608 · 27 Mar 2025
  54. DeepRV: Accelerating Spatiotemporal Inference with Pre-trained Neural Priors2503.21473 · 27 Mar 2025
  55. Bayesian Pseudo Posterior Mechanism for Differentially Private Machine Learning2503.21528 · 27 Mar 2025
  56. Constraint-based causal discovery with tiered background knowledge and latent variables in single or overlapping datasets2503.21526 · 27 Mar 2025
  57. Probabilistic Functional Neural Networks2503.21585 · 27 Mar 2025
  58. Squared families: Searching beyond regular probability models2503.21128 · 27 Mar 2025
  59. Estimating Unbounded Density Ratios: Applications in Error Control under Covariate Shift2504.01031 · 29 Mar 2025
  60. Fair Sufficient Representation Learning2504.01030 · 29 Mar 2025
  61. DGSAM: Domain Generalization via Individual Sharpness-Aware Minimization2503.23430 · 30 Mar 2025
  62. Accelerated Stein Variational Gradient Flow2503.23462 · 30 Mar 2025
  63. Scalable Geometric Learning with Correlation-Based Functional Brain Networks2503.23653 · 31 Mar 2025
  64. Solving the Best Subset Selection Problem via Suboptimal Algorithms2503.24300 · 31 Mar 2025
  65. Feature learning from non-Gaussian inputs: the case of Independent Component Analysis in high dimensions2503.23896 · 31 Mar 2025
  66. Detecting Localized Density Anomalies in Multivariate Data via Coin-Flip Statistics2503.23927 · 31 Mar 2025
  67. The more the merrier: logical and multistage processors in credit scoring2503.23979 · 31 Mar 2025
  68. AutoML Algorithms for Online Generalized Additive Model Selection: Application to Electricity Demand Forecasting2503.24019 · 31 Mar 2025
  69. Learning a Single Index Model from Anisotropic Data with vanilla Stochastic Gradient Descent2503.23642 · 31 Mar 2025