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

Papers

101. DAG-aware Transformer for Causal Effect Estimation2410.10044 · 13 Oct 2024
102. Provable Convergence and Limitations of Geometric Tempering for Langevin Dynamics2410.09697 · 13 Oct 2024
103. Gradient Span Algorithms Make Predictable Progress in High Dimension2410.09973 · 13 Oct 2024
104. Coupled autoregressive active inference agents for control of multi-joint dynamical systems2410.10415 · 14 Oct 2024
105. fastHDMI: Fast Mutual Information Estimation for High-Dimensional Data2410.10082 · 14 Oct 2024
106. Sampling from Bayesian Neural Network Posteriors with Symmetric Minibatch Splitting Langevin Dynamics2410.19780 · 14 Oct 2024
107. Neural Quasiprobabilistic Likelihood Ratio Estimation with Negatively Weighted Data2410.10216 · 14 Oct 2024
108. A Two-Stage Federated Learning Approach for Industrial Prognostics Using Large-Scale High-Dimensional Signals2410.11101 · 14 Oct 2024
109. High-Dimensional Differential Parameter Inference in Exponential Family using Time Score Matching2410.10637 · 14 Oct 2024
110. Machine Learning for Inverse Problems and Data Assimilation2410.10523 · 14 Oct 2024
111. Learning via Surrogate PAC-Bayes2410.10230 · 14 Oct 2024
112. Statistical Properties of Deep Neural Networks with Dependent Data2410.11113 · 14 Oct 2024
113. Optimal and computationally tractable lower bounds for logistic log-likelihoods2410.10309 · 14 Oct 2024
114. Data-Driven Approaches for Modelling Target Behaviour2410.10538 · 14 Oct 2024
115. Variational Inference in Location-Scale Families: Exact Recovery of the Mean and Correlation Matrix2410.11067 · 14 Oct 2024
116. Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal2410.10384 · 14 Oct 2024
117. A Benchmark Suite for Evaluating Neural Mutual Information Estimators on Unstructured Datasets2410.10924 · 14 Oct 2024
118. Queueing Matching Bandits with Preference Feedback2410.10098 · 14 Oct 2024
119. Robust Gradient Descent for Phase Retrieval2410.10623 · 14 Oct 2024
120. On Rank-Dependent Generalisation Error Bounds for Transformers2410.11500 · 15 Oct 2024
121. Parametric model reduction of mean-field and stochastic systems via higher-order action matching2410.12000 · 15 Oct 2024
122. Bayesian Experimental Design via Contrastive Diffusions2410.11826 · 15 Oct 2024
123. Zero-shot Model-based Reinforcement Learning using Large Language Models2410.11711 · 15 Oct 2024
124. Learning with Importance Weighted Variational Inference2410.12035 · 15 Oct 2024
125. Quadratic Gating Mixture of Experts: Statistical Insights into Self-Attention2410.11222 · 15 Oct 2024
126. Stochastic diagonal estimation with adaptive parameter selection2410.11613 · 15 Oct 2024
127. Deep Optimal Sensor Placement for Black Box Stochastic Simulations2410.12036 · 15 Oct 2024
128. Stein's method for marginals on large graphical models2410.11771 · 15 Oct 2024
129. Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples2410.11227 · 15 Oct 2024
130. Credal Two-Sample Tests of Epistemic Uncertainty2410.12921 · 16 Oct 2024
131. Global Censored Quantile Random Forest2410.12209 · 16 Oct 2024
132. Efficient Optimization Algorithms for Linear Adversarial Training2410.12677 · 16 Oct 2024
133. Local transfer learning Gaussian process modeling, with applications to surrogate modeling of expensive computer simulators2410.12690 · 16 Oct 2024
134. Discrete distributions are learnable from metastable samples2410.13800 · 17 Oct 2024
135. Latency-Aware Contextual Bandit: Application to Cryo-EM Data Collection2410.13109 · 17 Oct 2024
136. Tensor Decomposition with Unaligned Observations2410.14046 · 17 Oct 2024
137. Probing the Latent Hierarchical Structure of Data via Diffusion Models2410.13770 · 17 Oct 2024
138. Feedback Schrödinger Bridge Matching2410.14055 · 17 Oct 2024
139. Learning Counterfactual Distributions via Kernel Nearest Neighbors2410.13381 · 17 Oct 2024
140. Recurrent Neural Goodness-of-Fit Test for Time Series2410.13986 · 17 Oct 2024
141. L1-Regularized ICA: A Novel Method for Analysis of Task-related fMRI Data2410.13171 · 17 Oct 2024
142. A theoretical perspective on mode collapse in variational inference2410.13300 · 17 Oct 2024
143. Instance-dependent Convergence Theory for Diffusion Models2410.13738 · 17 Oct 2024
144. Gradual Domain Adaptation via Manifold-Constrained Distributionally Robust Optimization2410.14061 · 17 Oct 2024
145. Ab Initio Nonparametric Variable Selection for Scalable Symbolic Regression with Large $p$2410.13681 · 17 Oct 2024
146. Distributional Matrix Completion via Nearest Neighbors in the Wasserstein Space2410.13112 · 17 Oct 2024
147. Diffusion-based Semi-supervised Spectral Algorithm for Regression on Manifolds2410.14539 · 18 Oct 2024
148. Comparative Evaluation of Clustered Federated Learning Methods2410.14212 · 18 Oct 2024
149. Optimizing importance weighting in the presence of sub-population shifts2410.14315 · 18 Oct 2024
150. Adapting Projection-Based Reduced-Order Models using Projected Gaussian Process2410.14090 · 18 Oct 2024
151. Predictive variational inference: Learn the predictively optimal posterior distribution2410.14843 · 18 Oct 2024
152. On the Sparsity of the Strong Lottery Ticket Hypothesis2410.14754 · 18 Oct 2024
153. Interventional Processes for Causal Uncertainty Quantification2410.14483 · 18 Oct 2024
154. Estimating the Causal Effects of T Cell Receptors2410.14127 · 18 Oct 2024
155. Self-supervised contrastive learning performs non-linear system identification2410.14673 · 18 Oct 2024
156. Privacy for Free in the Overparameterized Regime2410.14787 · 18 Oct 2024
157. In-context Learning for Mixture of Linear Regressions: Existence, Generalization and Training Dynamics2410.14183 · 18 Oct 2024
158. Universal approximation results for neural networks with non-polynomial activation function over non-compact domains2410.14759 · 18 Oct 2024
159. Asymptotically Optimal Change Detection for Unnormalized Pre- and Post-Change Distributions2410.14615 · 18 Oct 2024
160. High-Dimensional Tensor Discriminant Analysis with Incomplete Tensors2410.14783 · 18 Oct 2024
161. HACSurv: A Hierarchical Copula-Based Approach for Survival Analysis with Dependent Competing Risks2410.15180 · 19 Oct 2024
162. Statistical Inference for Feature Selection after Optimal Transport-based Domain Adaptation2410.15022 · 19 Oct 2024
163. Asymptotic Time-Uniform Inference for Parameters in Averaged Stochastic Approximation2410.15057 · 19 Oct 2024
164. Controllable RANSAC-based Anomaly Detection via Hypothesis Testing2410.15133 · 19 Oct 2024
165. Amortized Probabilistic Conditioning for Optimization, Simulation and Inference2410.15320 · 20 Oct 2024
166. Diffusion-PINN Sampler2410.15336 · 20 Oct 2024
167. A Novel Characterization of the Population Area Under the Risk Coverage Curve (AURC) and Rates of Finite Sample Estimators2410.15361 · 20 Oct 2024
168. Statistical Inference for Policy Evaluation with Temporal Difference Learning2410.16106 · 21 Oct 2024
169. A Two-Stage Learning-to-Defer Approach for Multi-Task Learning2410.15729 · 21 Oct 2024
170. Robust Feature Learning for Multi-Index Models in High Dimensions2410.16449 · 21 Oct 2024
171. BI-EqNO: Generalized Approximate Bayesian Inference with an Equivariant Neural Operator Framework2410.16420 · 21 Oct 2024
172. On the Geometry of Regularization in Adversarial Training: High-Dimensional Asymptotics and Generalization Bounds2410.16073 · 21 Oct 2024
173. A Simple Model of Inference Scaling Laws2410.16377 · 21 Oct 2024
174. Learning signals defined on graphs with optimal transport and Gaussian process regression2410.15721 · 21 Oct 2024
175. Data Augmentation of Multivariate Sensor Time Series using Autoregressive Models and Application to Failure Prognostics2410.16419 · 21 Oct 2024
176. Conditional Dependence via U-Statistics Pruning2410.15888 · 21 Oct 2024
177. Theoretical Limitations of Ensembles in the Age of Overparameterization2410.16201 · 21 Oct 2024
178. Building Conformal Prediction Intervals with Approximate Message Passing2410.16493 · 21 Oct 2024
179. Limit Theorems for Stochastic Gradient Descent with Infinite Variance2410.16340 · 21 Oct 2024
180. Survival Models: Proper Scoring Rule and Stochastic Optimization with Competing Risks2410.16765 · 22 Oct 2024
181. Lower Bounds for Time-Varying Kernelized Bandits2410.16692 · 22 Oct 2024
182. Error estimates between SGD with momentum and underdamped Langevin diffusion2410.17297 · 22 Oct 2024
183. Scalable Implicit Graphon Learning2410.17464 · 22 Oct 2024
184. Understanding Transfer Learning via Mean-field Analysis2410.17128 · 22 Oct 2024
185. Federated Causal Inference: Multi-Study ATE Estimation beyond Meta-Analysis2410.16870 · 22 Oct 2024
186. General Frameworks for Conditional Two-Sample Testing2410.16636 · 22 Oct 2024
187. Theoretical Convergence Guarantees for Variational Autoencoders2410.16750 · 22 Oct 2024
188. Semi-Implicit Functional Gradient Flow for Efficient Sampling2410.17935 · 23 Oct 2024
189. Stochastic gradient descent in high dimensions for multi-spiked tensor PCA2410.18162 · 23 Oct 2024
190. Stabilizing black-box model selection with the inflated argmax2410.18268 · 23 Oct 2024
191. Conditional diffusions for amortized neural posterior estimation2410.19105 · 24 Oct 2024
192. Inherently Interpretable Tree Ensemble Learning2410.19098 · 24 Oct 2024
193. A Generalized Framework for Multiscale State-Space Modeling with Nested Nonlinear Dynamics: An Application to Bayesian Learning under Switching Regimes2410.19074 · 24 Oct 2024
194. Maximum a Posteriori Inference for Factor Graphs via Benders' Decomposition2410.19131 · 24 Oct 2024
195. Less Discriminatory Alternative and Interpretable XGBoost Framework for Binary Classification2410.19067 · 24 Oct 2024
196. A spectral method for multi-view subspace learning using the product of projections2410.19125 · 24 Oct 2024
197. High-dimensional Analysis of Knowledge Distillation: Weak-to-Strong Generalization and Scaling Laws2410.18837 · 24 Oct 2024
198. MissNODAG: Differentiable Cyclic Causal Graph Learning from Incomplete Data2410.18918 · 24 Oct 2024
199. A Random Matrix Theory Perspective on the Spectrum of Learned Features and Asymptotic Generalization Capabilities2410.18938 · 24 Oct 2024
200. Learned Reference-based Diffusion Sampling for multi-modal distributions2410.19449 · 25 Oct 2024