Statistics, Machine Learning papers, 2024-10-01 to 2025-03-31

Papers

1. An EM Gradient Algorithm for Mixture Models with Components Derived from the Manly Transformation2410.00848 · 1 Oct 2024
2. Differentiable Interacting Multiple Model Particle Filtering2410.00620 · 1 Oct 2024
3. AR-Sieve Bootstrap for the Random Forest and a simulation-based comparison with rangerts time series prediction2410.00942 · 1 Oct 2024
4. An Introduction to Deep Survival Analysis Models for Predicting Time-to-Event Outcomes2410.01086 · 1 Oct 2024
5. A Generalized Mean Approach for Distributed-PCA2410.00397 · 1 Oct 2024
6. Deep Kernel Posterior Learning under Infinite Variance Prior Weights2410.01284 · 2 Oct 2024
7. One Wave To Explain Them All: A Unifying Perspective On Feature Attribution2410.01482 · 2 Oct 2024
8. Asymmetry of the Relative Entropy in the Regularization of Empirical Risk Minimization2410.02833 · 2 Oct 2024
9. Introducing Flexible Monotone Multiple Choice Item Response Theory Models and Bit Scales2410.01480 · 2 Oct 2024
10. FredNormer: Frequency Domain Normalization for Non-stationary Time Series Forecasting2410.01860 · 2 Oct 2024
11. Posterior sampling via Langevin dynamics based on generative priors2410.02078 · 2 Oct 2024
12. Robustness and Structure Preservation in Flow-Based Generative Models via Wasserstein Path-Space Divergences2410.01244 · 2 Oct 2024
13. Revisiting Optimism and Model Complexity in the Wake of Overparameterized Machine Learning2410.01259 · 2 Oct 2024
14. Attention layers provably solve single-location regression2410.01537 · 2 Oct 2024
15. Transformers Handle Endogeneity in In-Context Linear Regression2410.01265 · 2 Oct 2024
16. Optimization, Isoperimetric Inequalities, and Sampling via Lyapunov Potentials2410.02979 · 3 Oct 2024
17. Local Flow Matching Generative Models2410.02548 · 3 Oct 2024
18. On Lai's Upper Confidence Bound in Multi-Armed Bandits2410.02279 · 3 Oct 2024
19. Nonparametric IPSS: Fast, flexible feature selection with false discovery control2410.02208 · 3 Oct 2024
20. CAnDOIT: Causal Discovery with Observational and Interventional Data from Time-Series2410.02844 · 3 Oct 2024
21. The Benefit of Being Bayesian in Online Conformal Prediction2410.02561 · 3 Oct 2024
22. Highly Adaptive Ridge2410.02680 · 3 Oct 2024
23. Towards Understanding the Universality of Transformers for Next-Token Prediction2410.03011 · 3 Oct 2024
24. Distributed Learning with Discretely Observed Functional Data2410.02376 · 3 Oct 2024
25. On Expert Estimation in Hierarchical Mixture of Experts: Beyond Softmax Gating Functions2410.02935 · 3 Oct 2024
26. Large Language Models as Markov Chains2410.02724 · 3 Oct 2024
27. Dual Active Learning for Reinforcement Learning from Human Feedback2410.02504 · 3 Oct 2024
28. Conformal confidence sets for biomedical image segmentation2410.03406 · 4 Oct 2024
29. Nested Deep Learning Model Towards A Foundation Model for Brain Signal Data2410.03191 · 4 Oct 2024
30. Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting2410.03229 · 4 Oct 2024
31. Optimal Transport for $ε$-Contaminated Credal Sets: To the Memory of Sayan Mukherjee2410.03267 · 4 Oct 2024
32. Learning to steer with Brownian noise2410.03221 · 4 Oct 2024
33. Nonstationary Sparse Spectral Permanental Process2410.03581 · 4 Oct 2024
34. Minimax-optimal trust-aware multi-armed bandits2410.03651 · 4 Oct 2024
35. Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport2410.03974 · 4 Oct 2024
36. Forest Proximities for Time Series2410.03098 · 4 Oct 2024
37. pFedGame -- Decentralized Federated Learning using Game Theory in Dynamic Topology2410.04058 · 5 Oct 2024
38. Decoupling Dynamical Richness from Representation Learning: Towards Practical Measurement2410.04264 · 5 Oct 2024
39. Implicit Bias of Mirror Flow for Shallow Neural Networks in Univariate Regression2410.03988 · 5 Oct 2024
40. Is Score Matching Suitable for Estimating Point Processes?2410.04037 · 5 Oct 2024
41. Grokking at the Edge of Linear Separability2410.04489 · 6 Oct 2024
42. Optimal Adaptive Experimental Design for Estimating Treatment Effect2410.05552 · 7 Oct 2024
43. Agnostic Smoothed Online Learning without Knowledge of the Base Measure2410.05124 · 7 Oct 2024
44. Stochastic Runge-Kutta Methods: Provable Acceleration of Diffusion Models2410.04760 · 7 Oct 2024
45. Are causal effect estimations enough for optimal recommendations under multitreatment scenarios?2410.05177 · 7 Oct 2024
46. Thompson Sampling For Combinatorial Bandits: Polynomial Regret and Mismatched Sampling Paradox2410.05441 · 7 Oct 2024
47. Meta-Dynamical State Space Models for Integrative Neural Data Analysis2410.05454 · 7 Oct 2024
48. Bias-Aware Conformal Prediction for Metric-Based Imaging Pipelines2410.05263 · 7 Oct 2024
49. Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series2410.05602 · 8 Oct 2024
50. Joint Bayesian Parameter and Model Order Estimation for Low-Rank Probability Mass Tensors2410.06329 · 8 Oct 2024
51. Generalized Sparse Additive Model with Unknown Link Function2410.06012 · 8 Oct 2024
52. On the Impacts of the Random Initialization in the Neural Tangent Kernel Theory2410.05626 · 8 Oct 2024
53. Covering Numbers for Deep ReLU Networks with Applications to Function Approximation and Nonparametric Regression2410.06378 · 8 Oct 2024
54. Stochastic Kernel Regularisation Improves Generalisation in Deep Kernel Machines2410.06171 · 8 Oct 2024
55. Uncertainty-Aware Fairness-Adaptive Classification Trees2410.05810 · 8 Oct 2024
56. Markov Equivalence and Consistency in Differentiable Structure Learning2410.06163 · 8 Oct 2024
57. Pathwise Gradient Variance Reduction with Control Variates in Variational Inference2410.05753 · 8 Oct 2024
58. SMART: A Flexible Approach to Regression using Spline-Based Multivariate Adaptive Regression Trees2410.05597 · 8 Oct 2024
59. The Breakdown of Gaussian Universality in Classification of High-dimensional Linear Factor Mixtures2410.05609 · 8 Oct 2024
60. Manifolds, Random Matrices and Spectral Gaps: The geometric phases of generative diffusion2410.05898 · 8 Oct 2024
61. Temperature Optimization for Bayesian Deep Learning2410.05757 · 8 Oct 2024
62. Stochastic Bandits for Egalitarian Assignment2410.05856 · 8 Oct 2024
63. Long-Context Linear System Identification2410.05690 · 8 Oct 2024
64. Adversarial Vulnerability as a Consequence of On-Manifold Inseparibility2410.06921 · 9 Oct 2024
65. Gridded Transformer Neural Processes for Large Unstructured Spatio-Temporal Data2410.06731 · 9 Oct 2024
66. Do Contemporary Causal Inference Models Capture Real-World Heterogeneity? Findings from a Large-Scale Benchmark2410.07021 · 9 Oct 2024
67. On the grid-sampling limit SDE2410.07778 · 10 Oct 2024
68. Cost-aware simulation-based inference2410.07930 · 10 Oct 2024
69. On Reward Transferability in Adversarial Inverse Reinforcement Learning: Insights from Random Matrix Theory2410.07643 · 10 Oct 2024
70. Identifying latent disease factors differently expressed in patient subgroups using group factor analysis2410.07890 · 10 Oct 2024
71. Avoiding mode collapse in diffusion models fine-tuned with reinforcement learning2410.08315 · 10 Oct 2024
72. Features are fate: a theory of transfer learning in high-dimensional regression2410.08194 · 10 Oct 2024
73. Addressing Rotational Learning Dynamics in Multi-Agent Reinforcement Learning2410.07976 · 10 Oct 2024
74. Breaking the curse of dimensionality in structured density estimation2410.07685 · 10 Oct 2024
75. Hybrid Summary Statistics2410.07548 · 10 Oct 2024
76. Correspondence of NNGP Kernel and the Matern Kernel2410.08311 · 10 Oct 2024
77. Gap-Dependent Bounds for Q-Learning using Reference-Advantage Decomposition2410.07574 · 10 Oct 2024
78. Theoretical limits of descending $\ell_0$ sparse-regression ML algorithms2410.07651 · 10 Oct 2024
79. Orthogonal Nonnegative Matrix Factorization with the Kullback-Leibler divergence2410.07786 · 10 Oct 2024
80. Markov Chain Gradient Descent in Hilbert Spaces2410.08361 · 10 Oct 2024
81. Linear Convergence of Diffusion Models Under the Manifold Hypothesis2410.09046 · 11 Oct 2024
82. Analyzing Neural Scaling Laws in Two-Layer Networks with Power-Law Data Spectra2410.09005 · 11 Oct 2024
83. SOAK: Same/Other/All K-fold cross-validation for estimating similarity of patterns in data subsets2410.08643 · 11 Oct 2024
84. The MAPS Algorithm: Fast model-agnostic and distribution-free prediction intervals for supervised learning2410.08958 · 11 Oct 2024
85. Optimal Downsampling for Imbalanced Classification with Generalized Linear Models2410.08994 · 11 Oct 2024
86. Losing dimensions: Geometric memorization in generative diffusion2410.08727 · 11 Oct 2024
87. Understanding the Statistical Accuracy-Communication Trade-off in Personalized Federated Learning with Minimax Guarantees2410.08934 · 11 Oct 2024
88. Deterministic Fokker-Planck Transport -- With Applications to Sampling, Variational Inference, Kernel Mean Embeddings & Sequential Monte Carlo2410.18993 · 11 Oct 2024
89. MVG-CRPS: A Robust Loss Function for Multivariate Probabilistic Forecasting2410.09133 · 11 Oct 2024
90. Online-to-PAC generalization bounds under graph-mixing dependencies2410.08977 · 11 Oct 2024
91. Calibrated Computation-Aware Gaussian Processes2410.08796 · 11 Oct 2024
92. Identification of Non-causal Graphical Models2410.09480 · 12 Oct 2024
93. Combinatorial optimization of the coefficient of determination2410.09316 · 12 Oct 2024
94. Replicable Uniformity Testing2410.10892 · 12 Oct 2024
95. On Goodhart's law, with an application to value alignment2410.09638 · 12 Oct 2024
96. Data Deletion for Linear Regression with Noisy SGD2410.09311 · 12 Oct 2024
97. COME: Test-time adaption by Conservatively Minimizing Entropy2410.10894 · 12 Oct 2024
98. Variational Diffusion Posterior Sampling with Midpoint Guidance2410.09945 · 13 Oct 2024
99. Statistical Test for Auto Feature Engineering by Selective Inference2410.19768 · 13 Oct 2024
100. Transformers as Game Players: Provable In-context Game-playing Capabilities of Pre-trained Models2410.09701 · 13 Oct 2024