Statistics, Machine Learning papers, 2025-05-01 to 2025-10-31

Papers

101. Thompson Sampling-like Algorithms for Stochastic Rising Bandits2505.12092 · 17 May 2025
102. High-Dimensional Dynamic Covariance Models with Random Forests2505.12444 · 18 May 2025
103. Stacked conformal prediction2505.12578 · 18 May 2025
104. Nonlinear Laplacians: Tunable principal component analysis under directional prior information2505.12528 · 18 May 2025
105. Training Latent Diffusion Models with Interacting Particle Algorithms2505.12412 · 18 May 2025
106. Multi-modal contrastive learning adapts to intrinsic dimensions of shared latent variables2505.12473 · 18 May 2025
107. Wasserstein Barycenter Gaussian Process based Bayesian Optimization2505.12471 · 18 May 2025
108. Smoothed SGD for quantiles: Bahadur representation and Gaussian approximation2505.13299 · 19 May 2025
109. Diffusion Models with Double Guidance: Generate with aggregated datasets2505.13213 · 19 May 2025
110. Scalable Importance Sampling in High Dimensions with Low-Rank Mixture Proposals2505.13335 · 19 May 2025
111. Transportability without Graphs: A Bayesian Approach to Identifying s-Admissible Backdoor Sets2505.12801 · 19 May 2025
112. Spline Dimensional Decomposition with Interpolation-based Optimal Knot Selection for Stochastic Dynamic Analysis2505.12879 · 19 May 2025
113. Scalable Bayesian Monte Carlo: fast uncertainty estimation beyond deep ensembles2505.13585 · 19 May 2025
114. Randomised Optimism via Competitive Co-Evolution for Matrix Games with Bandit Feedback2505.13562 · 19 May 2025
115. Conformalized Decision Risk Assessment2505.13243 · 19 May 2025
116. Minimum-Excess-Work Guidance2505.13375 · 19 May 2025
117. From What Ifs to Insights: Counterfactuals in Causal Inference vs. Explainable AI2505.13324 · 19 May 2025
118. Model Selection for Gaussian-gated Gaussian Mixture of Experts Using Dendrograms of Mixing Measures2505.13052 · 19 May 2025
119. Causality-Inspired Robustness for Nonlinear Models via Representation Learning2505.12868 · 19 May 2025
120. Backward Conformal Prediction2505.13732 · 19 May 2025
121. Attention-based clustering2505.13112 · 19 May 2025
122. Asymptotic Performance of Time-Varying Bayesian Optimization2505.13012 · 19 May 2025
123. From stability of Langevin diffusion to convergence of proximal MCMC for non-log-concave sampling2505.14177 · 20 May 2025
124. Hybrid Bernstein Normalizing Flows for Flexible Multivariate Density Regression with Interpretable Marginals2505.14164 · 20 May 2025
125. Graphon Mixtures2505.13864 · 20 May 2025
126. Extreme mass distributions for quasi-copulas2506.20672 · 20 May 2025
127. High-Dimensional Analysis of Bootstrap Ensemble Classifiers2505.14587 · 20 May 2025
128. Computational Efficiency under Covariate Shift in Kernel Ridge Regression2505.14083 · 20 May 2025
129. LOBSTUR: A Local Bootstrap Framework for Tuning Unsupervised Representations in Graph Neural Networks2505.14867 · 20 May 2025
130. High-dimensional Nonparametric Contextual Bandit Problem2505.14102 · 20 May 2025
131. Out-of-Distribution Generalization of In-Context Learning: A Low-Dimensional Subspace Perspective2505.14808 · 20 May 2025
132. A simple estimator of the correlation kernel matrix of a determinantal point process2505.14529 · 20 May 2025
133. A Probabilistic Perspective on Model Collapse2505.13947 · 20 May 2025
134. A system identification approach to clustering vector autoregressive time series2505.14421 · 20 May 2025
135. An Asymptotic Equation Linking WAIC and WBIC in Singular Models2505.13902 · 20 May 2025
136. Infinite hierarchical contrastive clustering for personal digital envirotyping2505.15022 · 21 May 2025
137. Oh SnapMMD! Forecasting Stochastic Dynamics Beyond the Schrödinger Bridge's End2505.16082 · 21 May 2025
138. Uncertainty Quantification in SVM prediction2505.15429 · 21 May 2025
139. CoT Information: Improved Sample Complexity under Chain-of-Thought Supervision2505.15927 · 21 May 2025
140. Convergence of Adam in Deep ReLU Networks via Directional Complexity and Kakeya Bounds2505.15013 · 21 May 2025
141. Robust Multimodal Learning via Entropy-Gated Contrastive Fusion2505.15417 · 21 May 2025
142. Policy Testing in Markov Decision Processes2505.15342 · 21 May 2025
143. Adaptive Cumulative Mass Calibration with Conformal Prediction2505.15437 · 21 May 2025
144. A Linear Approach to Data Poisoning2505.15175 · 21 May 2025
145. Clustering and Pruning in Causal Data Fusion2505.15215 · 21 May 2025
146. A Framework for Non-Linear Attention via Modern Hopfield Networks2506.11043 · 21 May 2025
147. Flow-based Generative Modeling of Potential Outcomes and Counterfactuals2505.16051 · 21 May 2025
148. Are machine learning interpretations reliable? A stability study on global interpretations2505.15728 · 21 May 2025
149. Dimension-adapted Momentum Outscales SGD2505.16098 · 22 May 2025
150. Critical Points of Random Neural Networks2505.17000 · 22 May 2025
151. Exponential Convergence of CAVI for Bayesian PCA2505.16145 · 22 May 2025
152. Higher-Order Asymptotics of Test-Time Adaptation for Batch Normalization Statistics2505.16257 · 22 May 2025
153. Learning non-equilibrium diffusions with Schrödinger bridges: from exactly solvable to simulation-free2505.16644 · 22 May 2025
154. How high is `high'? Rethinking the roles of dimensionality in topological data analysis and manifold learning2505.16879 · 22 May 2025
155. Liouville PDE-based sliced-Wasserstein flow2505.17204 · 22 May 2025
156. Learning Probabilities of Causation with Mask-Augmented Data2505.17133 · 22 May 2025
157. TULiP: Test-time Uncertainty Estimation via Linearization and Weight Perturbation2505.16923 · 22 May 2025
158. Integral Imprecise Probability Metrics2505.16156 · 22 May 2025
159. Improved generalization bounds for binary linear classification via isoperimetry2505.16713 · 22 May 2025
160. Graph-Smoothed Bayesian Black-Box Shift Estimator and Its Information Geometry2505.16251 · 22 May 2025
161. Deconfounded Warm-Start Thompson Sampling with Applications to Precision Medicine2505.17283 · 22 May 2025
162. Generator-Mediated Bandits: Thompson Sampling for GenAI-Powered Adaptive Interventions2505.16311 · 22 May 2025
163. Generalized Power Priors for Improved Bayesian Inference with Historical Data2505.16244 · 22 May 2025
164. High-Dimensional Private Linear Regression with Optimal Rates2505.16329 · 22 May 2025
165. Learning to Choose or Choosing to Learn: Best-of-N vs. Supervised Fine-Tuning for Bit String Generation2505.17288 · 22 May 2025
166. Statistical Inference for Online Algorithms2505.17300 · 22 May 2025
167. Optimal Transport with Heterogeneously Missing Data2505.17291 · 22 May 2025
168. Repulsive Ensembles for Bayesian Inference in Physics-informed Neural Networks2505.17308 · 22 May 2025
169. Statistical Test for Saliency Maps of Graph Neural Networks via Selective Inference2505.16893 · 22 May 2025
170. Boosting In-Context Learning in LLMs Through the Lens of Classical Supervised Learning2505.23783 · 22 May 2025
171. On the Mechanisms of Weak-to-Strong Generalization: A Theoretical Perspective2505.18346 · 23 May 2025
172. Optimal Online Change Detection via Random Fourier Features2505.17789 · 23 May 2025
173. Robust Distributed Estimation: Extending Gossip Algorithms to Ranking and Trimmed Means2505.17836 · 23 May 2025
174. LocalKMeans: Convergence of Lloyd's Algorithm with Distributed Local Iterations2505.18420 · 23 May 2025
175. The Nuclear Route: Sharp Asymptotics of ERM in Overparameterized Quadratic Networks2505.17958 · 23 May 2025
176. Bayesian Deep Learning for Discrete Choice2505.18077 · 23 May 2025
177. Preconditioned Langevin Dynamics with Score-Based Generative Models for Infinite-Dimensional Linear Bayesian Inverse Problems2505.18276 · 23 May 2025
178. Operator Learning for Schrödinger Equation: Unitarity, Error Bounds, and Time Generalization2505.18288 · 23 May 2025
179. Online Statistical Inference of Constrained Stochastic Optimization via Random Scaling2505.18327 · 23 May 2025
180. A Distributionally Robust Framework for Nuisance in Causal Effect Estimation2505.17717 · 23 May 2025
181. Quantifying uncertainty in spectral clusterings: expectations for perturbed and incomplete data2505.17819 · 23 May 2025
182. Scalable Policy Maximization Under Network Interference2505.18118 · 23 May 2025
183. Offline Constrained Reinforcement Learning under Partial Data Coverage2505.17506 · 23 May 2025
184. M-learner:A Flexible And Powerful Framework To Study Heterogeneous Treatment Effect In Mediation Model2505.17917 · 23 May 2025
185. Anytime-valid, Bayes-assisted, Prediction-Powered Inference2505.18000 · 23 May 2025
186. DataRater: Meta-Learned Dataset Curation2505.17895 · 23 May 2025
187. Predictive posterior sampling from non-stationnary Gaussian process priors via Diffusion models with application to climate data2505.24556 · 23 May 2025
188. Continuum Transformers Perform In-Context Learning by Operator Gradient Descent2505.17838 · 23 May 2025
189. Approximating Simple ReLU Networks based on Spectral Decomposition of Fisher Information2505.17907 · 23 May 2025
190. On Theoretical Identifiability of Discrete Latent Causal Graphical Models2505.18410 · 23 May 2025
191. On Minimax Estimation of Parameters in Softmax-Contaminated Mixture of Experts2505.18455 · 24 May 2025
192. Scalable Deep Basis Kernel Gaussian Processes2505.18526 · 24 May 2025
193. Statistical Inference under Performativity2505.18493 · 24 May 2025
194. Marginal Fairness: Fair Decision-Making under Risk Measures2505.18895 · 24 May 2025
195. Adaptive Prediction-Powered AutoEval with Reliability and Efficiency Guarantees2505.18659 · 24 May 2025
196. Non-Stationary Lipschitz Bandits2505.18871 · 24 May 2025
197. ALPCAHUS: Subspace Clustering for Heteroscedastic Data2505.18918 · 25 May 2025
198. On the Role of Label Noise in the Feature Learning Process2505.18909 · 25 May 2025
199. When Models Don't Collapse: On the Consistency of Iterative MLE2505.19046 · 25 May 2025
200. Statistical inference for Linear Stochastic Approximation with Markovian Noise2505.19102 · 25 May 2025