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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. Adaptive Variational Inference in Probabilistic Graphical Models: Beyond Bethe, Tree-Reweighted, and Convex Free Energies2502.03341 · 5 Feb 2025
  2. Linearized Optimal Transport pyLOT Library: A Toolkit for Machine Learning on Point Clouds2502.03439 · 5 Feb 2025
  3. Algorithms with Calibrated Machine Learning Predictions2502.02861 · 5 Feb 2025
  4. Building Bridges between Regression, Clustering, and Classification2502.02996 · 5 Feb 2025
  5. CARROT: A Cost Aware Rate Optimal Router2502.03261 · 5 Feb 2025
  6. Optimal Task Order for Continual Learning of Multiple Tasks2502.03350 · 5 Feb 2025
  7. Gradient Descent Algorithm in Hilbert Spaces under Stationary Markov Chains with $φ$- and $β$-Mixing2502.03551 · 5 Feb 2025
  8. A Mixture-Based Framework for Guiding Diffusion Models2502.03332 · 5 Feb 2025
  9. Gap-Dependent Bounds for Federated $Q$-learning2502.02859 · 5 Feb 2025
  10. Taking a Big Step: Large Learning Rates in Denoising Score Matching Prevent Memorization2502.03435 · 5 Feb 2025
  11. Uncertainty Quantification with the Empirical Neural Tangent Kernel2502.02870 · 5 Feb 2025
  12. Analyzing limits for in-context learning2502.03503 · 5 Feb 2025
  13. Multivariate Conformal Prediction using Optimal Transport2502.03609 · 5 Feb 2025
  14. Rule-based Evolving Fuzzy System for Time Series Forecasting: New Perspectives Based on Type-2 Fuzzy Sets Measures Approach2502.03650 · 5 Feb 2025
  15. Change Point Detection in the Frequency Domain with Statistical Reliability2502.03062 · 5 Feb 2025
  16. The Performance Of The Unadjusted Langevin Algorithm Without Smoothness Assumptions2502.03458 · 5 Feb 2025
  17. Comparison of the Cox proportional hazards model and Random Survival Forest algorithm for predicting patient-specific survival probabilities in clinical trial data2502.03119 · 5 Feb 2025
  18. Is In-Context Universality Enough? MLPs are Also Universal In-Context2502.03327 · 5 Feb 2025
  19. Prediction-Powered E-Values2502.04294 · 6 Feb 2025
  20. Sparsity-Based Interpolation of External, Internal and Swap Regret2502.04543 · 6 Feb 2025
  21. Step by Step: Adaptive Gradient Descent for Training L-Lipschitz Neural Networks2502.03792 · 6 Feb 2025
  22. Multi-task Online Learning for Probabilistic Load Forecasting2502.04163 · 6 Feb 2025
  23. Student-t processes as infinite-width limits of posterior Bayesian neural networks2502.04247 · 6 Feb 2025
  24. Gaussian Process Regression for Inverse Problems in Linear PDEs2502.04276 · 6 Feb 2025
  25. Any-stepsize Gradient Descent for Separable Data under Fenchel-Young Losses2502.04889 · 7 Feb 2025
  26. Statistical Collusion by Collectives on Learning Platforms2502.04879 · 7 Feb 2025
  27. Gradient-based Explanations for Deep Learning Survival Models2502.04970 · 7 Feb 2025
  28. Advancing Wasserstein Convergence Analysis of Score-Based Models: Insights from Discretization and Second-Order Acceleration2502.04849 · 7 Feb 2025
  29. Optimistic Algorithms for Adaptive Estimation of the Average Treatment Effect2502.04673 · 7 Feb 2025
  30. Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation2502.04949 · 7 Feb 2025
  31. Tighter sparse variational Gaussian processes2502.04750 · 7 Feb 2025
  32. Distinguishing Cause from Effect with Causal Velocity Models2502.05122 · 7 Feb 2025
  33. PhyloVAE: Unsupervised Learning of Phylogenetic Trees via Variational Autoencoders2502.04730 · 7 Feb 2025
  34. Robust Conformal Outlier Detection under Contaminated Reference Data2502.04807 · 7 Feb 2025
  35. Online Covariance Estimation in Nonsmooth Stochastic Approximation2502.05305 · 7 Feb 2025
  36. Scalable Learning from Probability Measures with Mean Measure Quantization2502.04907 · 7 Feb 2025
  37. A Meta-learner for Heterogeneous Effects in Difference-in-Differences2502.04699 · 7 Feb 2025
  38. Complexity Analysis of Normalizing Constant Estimation: from Jarzynski Equality to Annealed Importance Sampling and beyond2502.04575 · 7 Feb 2025
  39. dynoGP: Deep Gaussian Processes for dynamic system identification2502.05620 · 8 Feb 2025
  40. On the Convergence and Stability of Upside-Down Reinforcement Learning, Goal-Conditioned Supervised Learning, and Online Decision Transformers2502.05672 · 8 Feb 2025
  41. Convergence of TD(0) under Polynomial Mixing with Nonlinear Function Approximation2502.05706 · 8 Feb 2025
  42. Generalized Venn and Venn-Abers Calibration with Applications in Conformal Prediction2502.05676 · 8 Feb 2025
  43. Dynamic Pricing in the Linear Valuation Model using Shape Constraints2502.05776 · 9 Feb 2025
  44. Transformers versus the EM Algorithm in Multi-class Clustering2502.06007 · 9 Feb 2025
  45. Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making2502.06011 · 9 Feb 2025
  46. Smooth Sailing: Lipschitz-Driven Uncertainty Quantification for Spatial Association2502.06067 · 9 Feb 2025
  47. Differentially Private Hyperparameter Tuning using Local Bayesian Optimization2502.06044 · 9 Feb 2025
  48. Diffusion Models for Inverse Problems in the Exponential Family2502.05994 · 9 Feb 2025
  49. Propagation of Chaos for Mean-Field Langevin Dynamics and its Application to Model Ensemble2502.05784 · 9 Feb 2025
  50. Asymptotic FDR Control with Model-X Knockoffs: Is Moments Matching Sufficient?2502.05969 · 9 Feb 2025
  51. Nested subspace learning with flags2502.06022 · 9 Feb 2025
  52. Generative Distribution Prediction: A Unified Approach to Multimodal Learning2502.07090 · 10 Feb 2025
  53. Sample-efficient Learning of Concepts with Theoretical Guarantees: from Data to Concepts without Interventions2502.06536 · 10 Feb 2025
  54. Conformal Prediction Regions are Imprecise Highest Density Regions2502.06331 · 10 Feb 2025
  55. Epistemic Uncertainty in Conformal Scores: A Unified Approach2502.06995 · 10 Feb 2025
  56. Towards Understanding Gradient Dynamics of the Sliced-Wasserstein Distance via Critical Point Analysis2502.06525 · 10 Feb 2025
  57. Linear Bandits with Partially Observable Features2502.06142 · 10 Feb 2025
  58. iLOCO: Distribution-Free Inference for Feature Interactions2502.06661 · 10 Feb 2025
  59. Online Covariance Matrix Estimation in Sketched Newton Methods2502.07114 · 10 Feb 2025
  60. Quantile Multi-Armed Bandits with 1-bit Feedback2502.06678 · 10 Feb 2025
  61. Data Augmentation and Regularization for Learning Group Equivariance2502.06547 · 10 Feb 2025
  62. Learning an Optimal Assortment Policy under Observational Data2502.06777 · 10 Feb 2025
  63. Membership Inference Risks in Quantized Models: A Theoretical and Empirical Study2502.06567 · 10 Feb 2025
  64. Confidence Intervals for Evaluation of Data Mining2502.07016 · 10 Feb 2025
  65. Spectral-factorized Positive-definite Curvature Learning for NN Training2502.06268 · 10 Feb 2025
  66. Post-detection inference for sequential changepoint localization2502.06096 · 10 Feb 2025
  67. Dynamic Pricing with Adversarially-Censored Demands2502.06168 · 10 Feb 2025
  68. Gaussian Approximation and Multiplier Bootstrap for Stochastic Gradient Descent2502.06719 · 10 Feb 2025
  69. Optimizing Likelihoods via Mutual Information: Bridging Simulation-Based Inference and Bayesian Optimal Experimental Design2502.08004 · 11 Feb 2025
  70. Bit-Level Discrete Diffusion with Markov Probabilistic Models: An Improved Framework with Sharp Convergence Bounds under Minimal Assumptions2502.07939 · 11 Feb 2025
  71. Riemannian Proximal Sampler for High-accuracy Sampling on Manifolds2502.07265 · 11 Feb 2025
  72. Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold2502.07650 · 11 Feb 2025
  73. Negative Dependence as a toolbox for machine learning : review and new developments2502.07285 · 11 Feb 2025
  74. Uniform Kernel Prober2502.07369 · 11 Feb 2025
  75. The Illusion of Fit: Spatially Resolved Assessment of Constitutive Model Validity in Elastography and Physics-Based Inverse Problems2502.07415 · 11 Feb 2025
  76. Efficient Sparsification of Simplicial Complexes via Local Densities of States2502.07558 · 11 Feb 2025
  77. Linear Bandits beyond Inner Product Spaces, the case of Bandit Optimal Transport2502.07397 · 11 Feb 2025
  78. The Observational Partial Order of Causal Structures with Latent Variables2502.07891 · 11 Feb 2025
  79. SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph2502.07857 · 11 Feb 2025
  80. Generalization Bounds for Markov Algorithms through Entropy Flow Computations2502.07584 · 11 Feb 2025
  81. Concentration Inequalities for Stochastic Optimization of Unbounded Objective Functions with Application to Denoising Score Matching2502.08628 · 12 Feb 2025
  82. A Bayesian Nonparametric Perspective on Mahalanobis Distance for Out of Distribution Detection2502.08695 · 12 Feb 2025
  83. Multi-View Oriented GPLVM: Expressiveness and Efficiency2502.08253 · 12 Feb 2025
  84. Inverse Covariance and Partial Correlation Matrix Estimation via Joint Partial Regression2502.08414 · 12 Feb 2025
  85. Multifidelity Simulation-based Inference for Computationally Expensive Simulators2502.08416 · 12 Feb 2025
  86. A Differentiable Rank-Based Objective For Better Feature Learning2502.09445 · 13 Feb 2025
  87. Non-asymptotic Analysis of Diffusion Annealed Langevin Monte Carlo for Generative Modelling2502.09306 · 13 Feb 2025
  88. Off-Policy Evaluation for Recommendations with Missing-Not-At-Random Rewards2502.08993 · 13 Feb 2025
  89. Optimal Algorithms in Linear Regression under Covariate Shift: On the Importance of Precondition2502.09047 · 13 Feb 2025
  90. Optimal Causal Annotations: An Application to Casenotes in Social Services2502.10605 · 14 Feb 2025
  91. Weighted quantization using MMD: From mean field to mean shift via gradient flows2502.10600 · 14 Feb 2025
  92. Estimation of the Learning Coefficient Using Empirical Loss2502.09998 · 14 Feb 2025
  93. AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting2502.10235 · 14 Feb 2025
  94. Combinatorial Reinforcement Learning with Preference Feedback2502.10158 · 14 Feb 2025
  95. Forecasting time series with constraints2502.10485 · 14 Feb 2025
  96. Computational Lower Bounds for Correlated Random Graphs via Algorithmic Contiguity2502.09832 · 14 Feb 2025
  97. Improved Online Confidence Bounds for Multinomial Logistic Bandits2502.10020 · 14 Feb 2025
  98. On Volume Minimization in Conformal Regression2502.09985 · 14 Feb 2025
  99. Accelerated Parallel Tempering via Neural Transports2502.10328 · 14 Feb 2025
  100. Generative Adversarial Networks for High-Dimensional Item Factor Analysis: A Deep Adversarial Learning Algorithm2502.10650 · 15 Feb 2025