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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. Prediction-Guided Active Experiments2411.12036 · 18 Nov 2024
  2. Learning Differentiable Surrogate Losses for Structured Prediction2411.11682 · 18 Nov 2024
  3. Debiased Regression for Root-N-Consistent Conditional Mean Estimation2411.11748 · 18 Nov 2024
  4. Pairwise Markov Chains for Volatility Forecasting2411.11838 · 18 Nov 2024
  5. The Statistical Accuracy of Neural Posterior and Likelihood Estimation2411.12068 · 18 Nov 2024
  6. Parallelly Tempered Generative Adversarial Nets: Toward Stabilized Gradients2411.11786 · 18 Nov 2024
  7. On the Efficiency of ERM in Feature Learning2411.12029 · 18 Nov 2024
  8. Accelerating spherical K-means clustering for large-scale sparse document data2411.11300 · 18 Nov 2024
  9. Robust Causal Analysis of Linear Cyclic Systems With Hidden Confounders2411.11590 · 18 Nov 2024
  10. Stream-Based Active Learning for Process Monitoring2411.12563 · 19 Nov 2024
  11. Exact Risk Curves of signSGD in High-Dimensions: Quantifying Preconditioning and Noise-Compression Effects2411.12135 · 19 Nov 2024
  12. Prognostics for Autonomous Deep-Space Habitat Health Management under Multiple Unknown Failure Modes2411.12159 · 19 Nov 2024
  13. Tangential Randomization in Linear Bandits (TRAiL): Guaranteed Inference and Regret Bounds2411.12154 · 19 Nov 2024
  14. A new Input Convex Neural Network with application to options pricing2411.12854 · 19 Nov 2024
  15. Off-policy estimation with adaptively collected data: the power of online learning2411.12786 · 19 Nov 2024
  16. Local Anti-Concentration Class: Logarithmic Regret for Greedy Linear Contextual Bandit2411.12878 · 19 Nov 2024
  17. Two-Sided Nearest Neighbors: An adaptive and minimax optimal procedure for matrix completion2411.12965 · 20 Nov 2024
  18. Beyond likelihood ratio bias: Nested multi-time-scale stochastic approximation for likelihood-free parameter estimation2411.12995 · 20 Nov 2024
  19. Conformal Prediction for Hierarchical Data2411.13479 · 20 Nov 2024
  20. Sensitivity Analysis on Policy-Augmented Graphical Hybrid Models with Shapley Value Estimation2411.13396 · 20 Nov 2024
  21. Exponentially Consistent Nonparametric Linkage-Based Clustering of Data Sequences2411.13922 · 21 Nov 2024
  22. Indiscriminate Disruption of Conditional Inference on Multivariate Gaussians2411.14351 · 21 Nov 2024
  23. Logarithmic Neyman Regret for Adaptive Estimation of the Average Treatment Effect2411.14341 · 21 Nov 2024
  24. Dimension-independent rates for structured neural density estimation2411.15095 · 22 Nov 2024
  25. Double Machine Learning for Adaptive Causal Representation in High-Dimensional Data2411.14665 · 22 Nov 2024
  26. Iterative Reweighted Framework Based Algorithms for Sparse Linear Regression with Generalized Elastic Net Penalty2411.14875 · 22 Nov 2024
  27. Sparsifying Suprema of Gaussian Processes2411.14664 · 22 Nov 2024
  28. Proportional infinite-width infinite-depth limit for deep linear neural networks2411.15267 · 22 Nov 2024
  29. Trans-Glasso: A Transfer Learning Approach to Precision Matrix Estimation2411.15624 · 23 Nov 2024
  30. CatNet: Controlling the False Discovery Rate in LSTM with SHAP Feature Importance and Gaussian Mirrors2411.16666 · 25 Nov 2024
  31. Effective Non-Random Extreme Learning Machine2411.16229 · 25 Nov 2024
  32. Fast training of large kernel models with delayed projections2411.16658 · 25 Nov 2024
  33. Alpha Entropy Search for New Information-based Bayesian Optimization2411.16586 · 25 Nov 2024
  34. Gaussian Process Priors for Boundary Value Problems of Linear Partial Differential Equations2411.16663 · 25 Nov 2024
  35. Efficient pooling of predictions via kernel embeddings2411.16246 · 25 Nov 2024
  36. DP-CDA: An Algorithm for Enhanced Privacy Preservation in Dataset Synthesis Through Randomized Mixing2411.16121 · 25 Nov 2024
  37. On Statistical Rates of Conditional Diffusion Transformers: Approximation, Estimation and Minimax Optimality2411.17522 · 26 Nov 2024
  38. Validation-Free Sparse Learning: A Phase Transition Approach to Feature Selection2411.17180 · 26 Nov 2024
  39. A Generalized Unified Skew-Normal Process with Neural Bayes Inference2411.17400 · 26 Nov 2024
  40. Conformalised Conditional Normalising Flows for Joint Prediction Regions in time series2411.17042 · 26 Nov 2024
  41. Fast, Precise Thompson Sampling for Bayesian Optimization2411.17071 · 26 Nov 2024
  42. Spatio-Temporal Conformal Prediction for Power Outage Data2411.17099 · 26 Nov 2024
  43. On the ERM Principle in Meta-Learning2411.17898 · 26 Nov 2024
  44. The Return of Pseudosciences in Artificial Intelligence: Have Machine Learning and Deep Learning Forgotten Lessons from Statistics and History?2411.18656 · 27 Nov 2024
  45. A Flexible Defense Against the Winner's Curse2411.18569 · 27 Nov 2024
  46. Isometry pursuit2411.18502 · 27 Nov 2024
  47. Functional relevance based on the continuous Shapley value2411.18575 · 27 Nov 2024
  48. Graph Max Shift: A Hill-Climbing Method for Graph Clustering2411.18794 · 27 Nov 2024
  49. Contrastive representations of high-dimensional, structured treatments2411.19245 · 28 Nov 2024
  50. ABROCA Distributions For Algorithmic Bias Assessment: Considerations Around Interpretation2411.19090 · 28 Nov 2024
  51. Intrinsic Gaussian Process Regression Modeling for Manifold-valued Response Variable2411.18989 · 28 Nov 2024
  52. LD-EnSF: Synergizing Latent Dynamics with Ensemble Score Filters for Fast Data Assimilation with Sparse Observations2411.19305 · 28 Nov 2024
  53. Concept-driven Off Policy Evaluation2411.19395 · 28 Nov 2024
  54. Another look at statistical inference with machine learning-imputed data2411.19908 · 29 Nov 2024
  55. Noncommutative Model Selection for Data Clustering and Dimension Reduction Using Relative von Neumann Entropy2411.19902 · 29 Nov 2024
  56. Nonparametric Instrumental Regression via Kernel Methods is Minimax Optimal2411.19653 · 29 Nov 2024
  57. Optimal Particle-based Approximation of Discrete Distributions (OPAD)2412.00545 · 30 Nov 2024
  58. Nonlinearity and Uncertainty Informed Moment-Matching Gaussian Mixture Splitting2412.00343 · 30 Nov 2024
  59. Explicit and data-Efficient Encoding via Gradient Flow2412.00864 · 1 Dec 2024
  60. Energy-Based Modelling for Discrete and Mixed Data via Heat Equations on Structured Spaces2412.01019 · 2 Dec 2024
  61. Spatial Conformal Inference through Localized Quantile Regression2412.01098 · 2 Dec 2024
  62. Berezinskii--Kosterlitz--Thouless transition in a context-sensitive random language model2412.01212 · 2 Dec 2024
  63. Reliable and scalable variable importance estimation via warm-start and early stopping2412.01120 · 2 Dec 2024
  64. On the Feature Learning in Diffusion Models2412.01021 · 2 Dec 2024
  65. Refined Analysis of Federated Averaging and Federated Richardson-Romberg2412.01389 · 2 Dec 2024
  66. A Note on Estimation Error Bound and Grouping Effect of Transfer Elastic Net2412.01010 · 2 Dec 2024
  67. Universal Rates of Empirical Risk Minimization2412.02810 · 3 Dec 2024
  68. Deep Matrix Factorization with Adaptive Weights for Multi-View Clustering2412.02292 · 3 Dec 2024
  69. MEP-Net: Generating Solutions to Scientific Problems with Limited Knowledge by Maximum Entropy Principle2412.02090 · 3 Dec 2024
  70. The Broader Landscape of Robustness in Algorithmic Statistics2412.02670 · 3 Dec 2024
  71. Selective Reviews of Bandit Problems in AI via a Statistical View2412.02251 · 3 Dec 2024
  72. An Information-Theoretic Analysis of Thompson Sampling for Logistic Bandits2412.02861 · 3 Dec 2024
  73. Asymptotics of Linear Regression with Linearly Dependent Data2412.03702 · 4 Dec 2024
  74. Community Detection with Heterogeneous Block Covariance Model2412.03780 · 4 Dec 2024
  75. Learning Networks from Wide-Sense Stationary Stochastic Processes2412.03768 · 4 Dec 2024
  76. Tight PAC-Bayesian Risk Certificates for Contrastive Learning2412.03486 · 4 Dec 2024
  77. Nonparametric Filtering, Estimation and Classification using Neural Jump ODEs2412.03271 · 4 Dec 2024
  78. Self-test loss functions for learning weak-form operators and gradient flows2412.03506 · 4 Dec 2024
  79. A Probabilistic Formulation of Offset Noise in Diffusion Models2412.03134 · 4 Dec 2024
  80. Preference-based Pure Exploration2412.02988 · 4 Dec 2024
  81. Beyond algorithm hyperparameters: on preprocessing hyperparameters and associated pitfalls in machine learning applications2412.03491 · 4 Dec 2024
  82. Pathwise optimization for bridge-type estimators and its applications2412.04047 · 5 Dec 2024
  83. How well behaved is finite dimensional Diffusion Maps?2412.03992 · 5 Dec 2024
  84. GeoConformal prediction: a model-agnostic framework of measuring the uncertainty of spatial prediction2412.08661 · 5 Dec 2024
  85. The Polynomial Stein Discrepancy for Assessing Moment Convergence2412.05135 · 6 Dec 2024
  86. Proximal Iteration for Nonlinear Adaptive Lasso2412.05726 · 7 Dec 2024
  87. Leveraging Black-box Models to Assess Feature Importance in Unconditional Distribution2412.05759 · 7 Dec 2024
  88. Training-Free Bayesianization for Low-Rank Adapters of Large Language Models2412.05723 · 7 Dec 2024
  89. Confidence Diagram of Nonparametric Ranking for Uncertainty Assessment in Large Language Models Evaluation2412.05506 · 7 Dec 2024
  90. Can Generative AI Solve Your In-Context Learning Problem? A Martingale Perspective2412.06033 · 8 Dec 2024
  91. Reinforcement Learning for a Discrete-Time Linear-Quadratic Control Problem with an Application2412.05906 · 8 Dec 2024
  92. Representational Transfer Learning for Matrix Completion2412.06233 · 9 Dec 2024
  93. Generalized Least Squares Kernelized Tensor Factorization2412.07041 · 9 Dec 2024
  94. Is the neural tangent kernel of PINNs deep learning general partial differential equations always convergent ?2412.06158 · 9 Dec 2024
  95. An inferential measure of dependence between two systems using Bayesian model comparison2412.06478 · 9 Dec 2024
  96. Interactive and Hybrid Imitation Learning: Provably Beating Behavior Cloning2412.07057 · 9 Dec 2024
  97. Score-Optimal Diffusion Schedules2412.07877 · 10 Dec 2024
  98. Dual Random Fields and their Application to Mineral Potential Mapping2412.07488 · 10 Dec 2024
  99. Score-matching-based Structure Learning for Temporal Data on Networks2412.07469 · 10 Dec 2024
  100. Sequential Controlled Langevin Diffusions2412.07081 · 10 Dec 2024