Statistics, Machine Learning papers, 2024-08-01 to 2025-01-31

Papers

1. Aggregation Models with Optimal Weights for Distributed Gaussian Processes2408.00955 · 1 Aug 2024
2. Alpha-VI DeepONet: A prior-robust variational Bayesian approach for enhancing DeepONets with uncertainty quantification2408.00681 · 1 Aug 2024
3. Penalty Learning for Optimal Partitioning using Multilayer Perceptron2408.00856 · 1 Aug 2024
4. Empirical Bayes Linked Matrix Decomposition2408.00237 · 1 Aug 2024
5. Sparse Linear Regression when Noises and Covariates are Heavy-Tailed and Contaminated by Outliers2408.01336 · 2 Aug 2024
6. Resampling and averaging coordinates on data2408.01379 · 2 Aug 2024
7. Autoencoders in Function Space2408.01362 · 2 Aug 2024
8. Assessing Robustness of Machine Learning Models using Covariate Perturbations2408.01300 · 2 Aug 2024
9. META-ANOVA: Screening interactions for interpretable machine learning2408.00973 · 2 Aug 2024
10. Conformal Diffusion Models for Individual Treatment Effect Estimation and Inference2408.01582 · 2 Aug 2024
11. Universality of Kernel Random Matrices and Kernel Regression in the Quadratic Regime2408.01062 · 2 Aug 2024
12. A Family of Distributions of Random Subsets for Controlling Positive and Negative Dependence2408.01022 · 2 Aug 2024
13. A Decision-driven Methodology for Designing Uncertainty-aware AI Self-Assessment2408.01301 · 2 Aug 2024
14. Point Prediction for Streaming Data2408.01318 · 2 Aug 2024
15. Meta-Posterior Consistency for the Bayesian Inference of Metastable System2408.01868 · 3 Aug 2024
16. Cost-constrained multi-label group feature selection using shadow features2408.01851 · 3 Aug 2024
17. DNA-SE: Towards Deep Neural-Nets Assisted Semiparametric Estimation2408.02045 · 4 Aug 2024
18. Evaluating Posterior Probabilities: Decision Theory, Proper Scoring Rules, and Calibration2408.02841 · 5 Aug 2024
19. Mini-batch Estimation for Deep Cox Models: Statistical Foundations and Practical Guidance2408.02839 · 5 Aug 2024
20. On Probabilistic Embeddings in Optimal Dimension Reduction2408.02433 · 5 Aug 2024
21. Quantile Regression using Random Forest Proximities2408.02355 · 5 Aug 2024
22. When does the mean network capture the topology of a sample of networks?2408.03461 · 6 Aug 2024
23. Exchangeable Sequence Models Quantify Uncertainty Over Latent Concepts2408.03307 · 6 Aug 2024
24. Active Learning for Level Set Estimation Using Randomized Straddle Algorithms2408.03144 · 6 Aug 2024
25. Maximum a Posteriori Estimation for Linear Structural Dynamics Models Using Bayesian Optimization with Rational Polynomial Chaos Expansions2408.03569 · 7 Aug 2024
26. Bayes-optimal learning of an extensive-width neural network from quadratically many samples2408.03733 · 7 Aug 2024
27. Inference with the Upper Confidence Bound Algorithm2408.04595 · 8 Aug 2024
28. Risk and cross validation in ridge regression with correlated samples2408.04607 · 8 Aug 2024
29. Robustness investigation of cross-validation based quality measures for model assessment2408.04391 · 8 Aug 2024
30. Hybrid Reinforcement Learning Breaks Sample Size Barriers in Linear MDPs2408.04526 · 8 Aug 2024
31. Better Locally Private Sparse Estimation Given Multiple Samples Per User2408.04313 · 8 Aug 2024
32. Variational Bayesian Phylogenetic Inference with Semi-implicit Branch Length Distributions2408.05058 · 9 Aug 2024
33. On expected signatures and signature cumulants in semimartingale models2408.05085 · 9 Aug 2024
34. Causal Discovery of Linear Non-Gaussian Causal Models with Unobserved Confounding2408.04907 · 9 Aug 2024
35. A Density Ratio Super Learner2408.04796 · 9 Aug 2024
36. A Pipeline for Data-Driven Learning of Topological Features with Applications to Protein Stability Prediction2408.04847 · 9 Aug 2024
37. Latent class analysis for multi-layer categorical data2408.05535 · 10 Aug 2024
38. fastkqr: A Fast Algorithm for Kernel Quantile Regression2408.05393 · 10 Aug 2024
39. S-SIRUS: an explainability algorithm for spatial regression Random Forest2408.05537 · 10 Aug 2024
40. Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm2408.05834 · 11 Aug 2024
41. On the Robustness of Kernel Goodness-of-Fit Tests2408.05854 · 11 Aug 2024
42. Fast convergence of a Federated Expectation-Maximization Algorithm2408.05819 · 11 Aug 2024
43. Multi-marginal Schrödinger Bridges with Iterative Reference Refinement2408.06277 · 12 Aug 2024
44. Reciprocal Learning2408.06257 · 12 Aug 2024
45. Langevin dynamics for high-dimensional optimization: the case of multi-spiked tensor PCA2408.06401 · 12 Aug 2024
46. Note on computational complexity of the Gromov-Wasserstein distance2408.06525 · 12 Aug 2024
47. Parameters Inference for Nonlinear Wave Equations with Markovian Switching2408.05990 · 12 Aug 2024
48. Alpha-Trimming: Locally Adaptive Tree Pruning for Random Forests2408.07151 · 13 Aug 2024
49. Variance-Reduced Cascade Q-learning: Algorithms and Sample Complexity2408.06544 · 13 Aug 2024
50. An Adaptive Importance Sampling for Locally Stable Point Processes2408.07372 · 14 Aug 2024
51. Learning Multi-Index Models with Neural Networks via Mean-Field Langevin Dynamics2408.07254 · 14 Aug 2024
52. Decoder ensembling for learned latent geometries2408.07507 · 14 Aug 2024
53. Adjusting Model Size in Continual Gaussian Processes: How Big is Big Enough?2408.07588 · 14 Aug 2024
54. Ranking and Combining Latent Structured Predictive Scores without Labeled Data2408.07796 · 14 Aug 2024
55. Off-Policy Reinforcement Learning with High Dimensional Reward2408.07660 · 14 Aug 2024
56. Posterior Covariance Structures in Gaussian Processes2408.07379 · 14 Aug 2024
57. Classification of High-dimensional Time Series in Spectral Domain using Explainable Features2408.08388 · 15 Aug 2024
58. BINDy -- Bayesian identification of nonlinear dynamics with reversible-jump Markov-chain Monte-Carlo2408.08062 · 15 Aug 2024
59. Robust Offline Active Learning on Graphs2408.07941 · 15 Aug 2024
60. Local Causal Discovery with Background Knowledge2408.07890 · 15 Aug 2024
61. A Confidence Interval for the $\ell_2$ Expected Calibration Error2408.08998 · 16 Aug 2024
62. Linear combinations of latents in generative models: subspaces and beyond2408.08558 · 16 Aug 2024
63. Controlling Statistical, Discretization, and Truncation Errors in Learning Fourier Linear Operators2408.09004 · 16 Aug 2024
64. Shapley Marginal Surplus for Strong Models2408.08845 · 16 Aug 2024
65. Misclassification excess risk bounds for PAC-Bayesian classification via convexified loss2408.08675 · 16 Aug 2024
66. Adv-SSL: Adversarial Self-Supervised Representation Learning with Theoretical Guarantees2408.08533 · 16 Aug 2024
67. A new perspective on Bayesian Operational Modal Analysis2408.08664 · 16 Aug 2024
68. Time Series Analysis by State Space Learning2408.09120 · 17 Aug 2024
69. Efficient Budget Allocation for Large-Scale LLM-Enabled Virtual Screening2408.09537 · 18 Aug 2024
70. Convolutional Conditional Neural Processes2408.09583 · 18 Aug 2024
71. Deep Limit Model-free Prediction in Regression2408.09532 · 18 Aug 2024
72. Area under the ROC Curve has the Most Consistent Evaluation for Binary Classification2408.10193 · 19 Aug 2024
73. ALTBI: Constructing Improved Outlier Detection Models via Optimization of Inlier-Memorization Effect2408.09791 · 19 Aug 2024
74. Robust spectral clustering with rank statistics2408.10136 · 19 Aug 2024
75. Can an unsupervised clustering algorithm reproduce a categorization system?2408.10340 · 19 Aug 2024
76. Predicting path-dependent processes by deep learning2408.09941 · 19 Aug 2024
77. Confirmation Bias in Gaussian Mixture Models2408.09718 · 19 Aug 2024
78. Efficient Reinforcement Learning in Probabilistic Reward Machines2408.10381 · 19 Aug 2024
79. Approximation Rates for Shallow ReLU$^k$ Neural Networks on Sobolev Spaces via the Radon Transform2408.10996 · 20 Aug 2024
80. The Ensemble Epanechnikov Mixture Filter2408.11164 · 20 Aug 2024
81. Effective Off-Policy Evaluation and Learning in Contextual Combinatorial Bandits2408.11202 · 20 Aug 2024
82. Kernel-Based Differentiable Learning of Non-Parametric Directed Acyclic Graphical Models2408.10976 · 20 Aug 2024
83. Asymptotic Classification Error for Heavy-Tailed Renewal Processes2408.10502 · 20 Aug 2024
84. Convergence of Unadjusted Langevin in High Dimensions: Delocalization of Bias2408.13115 · 20 Aug 2024
85. Non-convex matrix sensing: Breaking the quadratic rank barrier in the sample complexity2408.13276 · 20 Aug 2024
86. An Information-Theoretic Approach to Generalization Theory2408.13275 · 20 Aug 2024
87. An Asymptotically Optimal Coordinate Descent Algorithm for Learning Bayesian Networks from Gaussian Models2408.11977 · 21 Aug 2024
88. Plug-in estimation of Schrödinger bridges2408.11686 · 21 Aug 2024
89. Deconfounding Multi-Cause Latent Confounders: A Factor-Model Approach to Climate Model Bias Correction2408.12063 · 22 Aug 2024
90. Transformers are Minimax Optimal Nonparametric In-Context Learners2408.12186 · 22 Aug 2024
91. Neural-ANOVA: Analytical Model Decomposition using Automatic Integration2408.12319 · 22 Aug 2024
92. Distributed quasi-Newton robust estimation under differential privacy2408.12353 · 22 Aug 2024
93. Demystifying Functional Random Forests: Novel Explainability Tools for Model Transparency in High-Dimensional Spaces2408.12288 · 22 Aug 2024
94. A density ratio framework for evaluating the utility of synthetic data2408.13167 · 23 Aug 2024
95. Controlled Learning of Pointwise Nonlinearities in Neural-Network-Like Architectures2408.13114 · 23 Aug 2024
96. Amortized Bayesian Multilevel Models2408.13230 · 23 Aug 2024
97. On the design of scalable, high-precision spherical-radial Fourier features2408.13231 · 23 Aug 2024
98. On the good reliability of an interval-based metric to validate prediction uncertainty for machine learning regression tasks2408.13089 · 23 Aug 2024
99. Augmented Functional Random Forests: Classifier Construction and Unbiased Functional Principal Components Importance through Ad-Hoc Conditional Permutations2408.13179 · 23 Aug 2024
100. Double Descent: Understanding Linear Model Estimation of Nonidentifiable Parameters and a Model for Overfitting2408.13235 · 23 Aug 2024