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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. Conformalized Credal Regions for Classification with Ambiguous Ground Truth2411.04852 · 7 Nov 2024
  2. Statistical-Computational Trade-offs for Recursive Adaptive Partitioning Estimators2411.04394 · 7 Nov 2024
  3. Pareto Set Identification With Posterior Sampling2411.04939 · 7 Nov 2024
  4. Compactly-supported nonstationary kernels for computing exact Gaussian processes on big data2411.05869 · 7 Nov 2024
  5. Decentralized EM Algorithm for Gaussian Mixtures under Data Heterogeneity and Partial Labeling2411.05591 · 8 Nov 2024
  6. Multi-armed Bandits with Missing Outcome2411.05661 · 8 Nov 2024
  7. The sampling complexity of learning invertible residual neural networks2411.05453 · 8 Nov 2024
  8. Cross-validating causal discovery via Leave-One-Variable-Out2411.05625 · 8 Nov 2024
  9. Deep Nonparametric Conditional Independence Tests for Images2411.06140 · 9 Nov 2024
  10. Amortized Bayesian Local Interpolation NetworK: Fast covariance parameter estimation for Gaussian Processes2411.06324 · 10 Nov 2024
  11. Conditional simulation via entropic optimal transport: Toward non-parametric estimation of conditional Brenier maps2411.07154 · 11 Nov 2024
  12. Constructing Gaussian Processes via Samplets2411.07277 · 11 Nov 2024
  13. Effect sizes as a statistical feature-selector-based learning to detect breast cancer2411.06868 · 11 Nov 2024
  14. Optimized Quality of Service prediction in FSO Links over South Africa using Ensemble Learning2411.06832 · 11 Nov 2024
  15. Causal-discovery-based root-cause analysis and its application in time-series prediction error diagnosis2411.06990 · 11 Nov 2024
  16. Unified Bayesian representation for high-dimensional multi-modal biomedical data for small-sample classification2411.07043 · 11 Nov 2024
  17. A Tale of Two Cities: Pessimism and Opportunism in Offline Dynamic Pricing2411.08126 · 12 Nov 2024
  18. Quantifying Knowledge Distillation Using Partial Information Decomposition2411.07483 · 12 Nov 2024
  19. What Representational Similarity Measures Imply about Decodable Information2411.08197 · 12 Nov 2024
  20. Exogenous Randomness Empowering Random Forests2411.07554 · 12 Nov 2024
  21. Tukey g-and-h neural network regression for non-Gaussian data2411.07957 · 12 Nov 2024
  22. Microfoundation Inference for Strategic Prediction2411.08998 · 13 Nov 2024
  23. Deep Generative Demand Learning for Newsvendor and Pricing2411.08631 · 13 Nov 2024
  24. Minimax Optimal Two-Sample Testing under Local Differential Privacy2411.09064 · 13 Nov 2024
  25. Conditional Local Importance by Quantile Expectations2411.08821 · 13 Nov 2024
  26. Parameter Inference via Differentiable Diffusion Bridge Importance Sampling2411.08993 · 13 Nov 2024
  27. Oblique Bayesian additive regression trees2411.08849 · 13 Nov 2024
  28. Sparse Bayesian Generative Modeling for Compressive Sensing2411.09483 · 14 Nov 2024
  29. Counterfactual Uncertainty Quantification of Factual Estimand of Efficacy from Before-and-After Treatment Repeated Measures Randomized Controlled Trials2411.09635 · 14 Nov 2024
  30. Hybrid deep additive neural networks2411.09175 · 14 Nov 2024
  31. Conditional regression for the Nonlinear Single-Variable Model2411.09686 · 14 Nov 2024
  32. Dense ReLU Neural Networks for Temporal-spatial Model2411.09961 · 15 Nov 2024
  33. Continuous Bayesian Model Selection for Multivariate Causal Discovery2411.10154 · 15 Nov 2024
  34. A unifying framework for generalised Bayesian online learning in non-stationary environments2411.10153 · 15 Nov 2024
  35. On the Universal Statistical Consistency of Expansive Hyperbolic Deep Convolutional Neural Networks2411.10128 · 15 Nov 2024
  36. Series Expansion of Probability of Correct Selection for Improved Finite Budget Allocation in Ranking and Selection2411.10695 · 16 Nov 2024
  37. Variational Bayesian Bow tie Neural Networks with Shrinkage2411.11132 · 17 Nov 2024
  38. Debiasing Watermarks for Large Language Models via Maximal Coupling2411.11203 · 17 Nov 2024
  39. An Investigation of Offline Reinforcement Learning in Factorisable Action Spaces2411.11088 · 17 Nov 2024
  40. Accelerating spherical K-means clustering for large-scale sparse document data2411.11300 · 18 Nov 2024
  41. The Statistical Accuracy of Neural Posterior and Likelihood Estimation2411.12068 · 18 Nov 2024
  42. On the Efficiency of ERM in Feature Learning2411.12029 · 18 Nov 2024
  43. Prediction-Guided Active Experiments2411.12036 · 18 Nov 2024
  44. Parallelly Tempered Generative Adversarial Nets: Toward Stabilized Gradients2411.11786 · 18 Nov 2024
  45. Robust Causal Analysis of Linear Cyclic Systems With Hidden Confounders2411.11590 · 18 Nov 2024
  46. Pairwise Markov Chains for Volatility Forecasting2411.11838 · 18 Nov 2024
  47. Debiased Regression for Root-N-Consistent Conditional Mean Estimation2411.11748 · 18 Nov 2024
  48. Learning Differentiable Surrogate Losses for Structured Prediction2411.11682 · 18 Nov 2024
  49. Tangential Randomization in Linear Bandits (TRAiL): Guaranteed Inference and Regret Bounds2411.12154 · 19 Nov 2024
  50. Off-policy estimation with adaptively collected data: the power of online learning2411.12786 · 19 Nov 2024
  51. Stream-Based Active Learning for Process Monitoring2411.12563 · 19 Nov 2024
  52. Exact Risk Curves of signSGD in High-Dimensions: Quantifying Preconditioning and Noise-Compression Effects2411.12135 · 19 Nov 2024
  53. Prognostics for Autonomous Deep-Space Habitat Health Management under Multiple Unknown Failure Modes2411.12159 · 19 Nov 2024
  54. A new Input Convex Neural Network with application to options pricing2411.12854 · 19 Nov 2024
  55. Local Anti-Concentration Class: Logarithmic Regret for Greedy Linear Contextual Bandit2411.12878 · 19 Nov 2024
  56. Beyond likelihood ratio bias: Nested multi-time-scale stochastic approximation for likelihood-free parameter estimation2411.12995 · 20 Nov 2024
  57. Two-Sided Nearest Neighbors: An adaptive and minimax optimal procedure for matrix completion2411.12965 · 20 Nov 2024
  58. Sensitivity Analysis on Policy-Augmented Graphical Hybrid Models with Shapley Value Estimation2411.13396 · 20 Nov 2024
  59. Conformal Prediction for Hierarchical Data2411.13479 · 20 Nov 2024
  60. Logarithmic Neyman Regret for Adaptive Estimation of the Average Treatment Effect2411.14341 · 21 Nov 2024
  61. Exponentially Consistent Nonparametric Linkage-Based Clustering of Data Sequences2411.13922 · 21 Nov 2024
  62. Indiscriminate Disruption of Conditional Inference on Multivariate Gaussians2411.14351 · 21 Nov 2024
  63. Dimension-independent rates for structured neural density estimation2411.15095 · 22 Nov 2024
  64. Proportional infinite-width infinite-depth limit for deep linear neural networks2411.15267 · 22 Nov 2024
  65. Double Machine Learning for Adaptive Causal Representation in High-Dimensional Data2411.14665 · 22 Nov 2024
  66. Iterative Reweighted Framework Based Algorithms for Sparse Linear Regression with Generalized Elastic Net Penalty2411.14875 · 22 Nov 2024
  67. Sparsifying Suprema of Gaussian Processes2411.14664 · 22 Nov 2024
  68. Trans-Glasso: A Transfer Learning Approach to Precision Matrix Estimation2411.15624 · 23 Nov 2024
  69. Efficient pooling of predictions via kernel embeddings2411.16246 · 25 Nov 2024
  70. Fast training of large kernel models with delayed projections2411.16658 · 25 Nov 2024
  71. CatNet: Controlling the False Discovery Rate in LSTM with SHAP Feature Importance and Gaussian Mirrors2411.16666 · 25 Nov 2024
  72. Effective Non-Random Extreme Learning Machine2411.16229 · 25 Nov 2024
  73. DP-CDA: An Algorithm for Enhanced Privacy Preservation in Dataset Synthesis Through Randomized Mixing2411.16121 · 25 Nov 2024
  74. Gaussian Process Priors for Boundary Value Problems of Linear Partial Differential Equations2411.16663 · 25 Nov 2024
  75. Alpha Entropy Search for New Information-based Bayesian Optimization2411.16586 · 25 Nov 2024
  76. Spatio-Temporal Conformal Prediction for Power Outage Data2411.17099 · 26 Nov 2024
  77. On Statistical Rates of Conditional Diffusion Transformers: Approximation, Estimation and Minimax Optimality2411.17522 · 26 Nov 2024
  78. A Generalized Unified Skew-Normal Process with Neural Bayes Inference2411.17400 · 26 Nov 2024
  79. Validation-Free Sparse Learning: A Phase Transition Approach to Feature Selection2411.17180 · 26 Nov 2024
  80. Conformalised Conditional Normalising Flows for Joint Prediction Regions in time series2411.17042 · 26 Nov 2024
  81. On the ERM Principle in Meta-Learning2411.17898 · 26 Nov 2024
  82. Fast, Precise Thompson Sampling for Bayesian Optimization2411.17071 · 26 Nov 2024
  83. A Flexible Defense Against the Winner's Curse2411.18569 · 27 Nov 2024
  84. Functional relevance based on the continuous Shapley value2411.18575 · 27 Nov 2024
  85. Graph Max Shift: A Hill-Climbing Method for Graph Clustering2411.18794 · 27 Nov 2024
  86. Isometry pursuit2411.18502 · 27 Nov 2024
  87. The Return of Pseudosciences in Artificial Intelligence: Have Machine Learning and Deep Learning Forgotten Lessons from Statistics and History?2411.18656 · 27 Nov 2024
  88. ABROCA Distributions For Algorithmic Bias Assessment: Considerations Around Interpretation2411.19090 · 28 Nov 2024
  89. LD-EnSF: Synergizing Latent Dynamics with Ensemble Score Filters for Fast Data Assimilation with Sparse Observations2411.19305 · 28 Nov 2024
  90. Contrastive representations of high-dimensional, structured treatments2411.19245 · 28 Nov 2024
  91. Intrinsic Gaussian Process Regression Modeling for Manifold-valued Response Variable2411.18989 · 28 Nov 2024
  92. Concept-driven Off Policy Evaluation2411.19395 · 28 Nov 2024
  93. Noncommutative Model Selection for Data Clustering and Dimension Reduction Using Relative von Neumann Entropy2411.19902 · 29 Nov 2024
  94. Nonparametric Instrumental Regression via Kernel Methods is Minimax Optimal2411.19653 · 29 Nov 2024
  95. Another look at statistical inference with machine learning-imputed data2411.19908 · 29 Nov 2024
  96. Nonlinearity and Uncertainty Informed Moment-Matching Gaussian Mixture Splitting2412.00343 · 30 Nov 2024
  97. Optimal Particle-based Approximation of Discrete Distributions (OPAD)2412.00545 · 30 Nov 2024
  98. Explicit and data-Efficient Encoding via Gradient Flow2412.00864 · 1 Dec 2024
  99. On the Feature Learning in Diffusion Models2412.01021 · 2 Dec 2024
  100. Energy-Based Modelling for Discrete and Mixed Data via Heat Equations on Structured Spaces2412.01019 · 2 Dec 2024