Statistics, Machine Learning papers, 2025-05-01 to 2025-10-31
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
- 1,192
- Collected
- 31 Aug 2026
Papers
- Contrastive Network Representation Learning2509.11316 · 14 Sept 2025
- SpaPool: Soft Partition Assignment Pooling for__Graph Neural Networks2509.11675 · 15 Sept 2025
- MMM: Clustering Multivariate Longitudinal Mixed-type Data2509.12166 · 15 Sept 2025
- E-ROBOT: a dimension-free method for robust statistics and machine learning via Schrödinger bridge2509.11532 · 15 Sept 2025
- The Morgan-Pitman Test of Equality of Variances and its Application to Machine Learning Model Evaluation and Selection2509.12185 · 15 Sept 2025
- Identifiable Autoregressive Variational Autoencoders for Nonlinear and Nonstationary Spatio-Temporal Blind Source Separation2509.11962 · 15 Sept 2025
- Learning Majority-to-Minority Transformations with MMD and Triplet Loss for Imbalanced Classification2509.11511 · 15 Sept 2025
- PBPK-iPINNs: Inverse Physics-Informed Neural Networks for Physiologically Based Pharmacokinetic Brain Models2509.12666 · 16 Sept 2025
- SURGIN: SURrogate-guided Generative INversion for subsurface multiphase flow with quantified uncertainty2509.13189 · 16 Sept 2025
- Surrogate Modelling of Proton Dose with Monte Carlo Dropout Uncertainty Quantification2509.18155 · 16 Sept 2025
- On the Rate of Gaussian Approximation for Linear Regression Problems2509.14039 · 17 Sept 2025
- Benefits of Online Tilted Empirical Risk Minimization: A Case Study of Outlier Detection and Robust Regression2509.15141 · 18 Sept 2025
- Asymptotic Study of In-context Learning with Random Transformers through Equivalent Models2509.15152 · 18 Sept 2025
- Next-Depth Lookahead Tree2509.15143 · 18 Sept 2025
- Learning Rate Should Scale Inversely with High-Order Data Moments in High-Dimensional Online Independent Component Analysis2509.15127 · 18 Sept 2025
- Spectral/Spatial Tensor Atomic Cluster Expansion with Universal Embeddings in Cartesian Space2509.14961 · 18 Sept 2025
- Interpretable Network-assisted Random Forest+2509.15611 · 19 Sept 2025
- Low-Rank Evolutionary Deep Neural Networks via Adaptive Tangent-Space Reduction2509.16395 · 19 Sept 2025
- What is a good matching of probability measures? A counterfactual lens on transport maps2509.16027 · 19 Sept 2025
- Model-free algorithms for fast node clustering in SBM type graphs and application to social role inference in animals2509.15989 · 19 Sept 2025
- SETrLUSI: Stochastic Ensemble Multi-Source Transfer Learning Using Statistical Invariant2509.15593 · 19 Sept 2025
- Phase Transition for Stochastic Block Model with more than $\sqrt{n}$ Communities2509.15822 · 19 Sept 2025
- An adaptive subsampling method for large-sample feature screening2509.16085 · 19 Sept 2025
- Conditional Multidimensional Scaling with Incomplete Conditioning Data2509.16627 · 20 Sept 2025
- DoubleGen: Debiased Generative Modeling of Counterfactuals2509.16842 · 20 Sept 2025
- System-Level Uncertainty Quantification with Multiple Machine Learning Models: A Theoretical Framework2509.16663 · 20 Sept 2025
- Risk Comparisons in Linear Regression: Implicit Regularization Dominates Explicit Regularization2509.17251 · 21 Sept 2025
- Fréchet Geodesic Boosting2509.18013 · 22 Sept 2025
- End-Cut Preference in Survival Trees2509.18477 · 22 Sept 2025
- Bilateral Distribution Compression: Reducing Both Data Size and Dimensionality2509.17543 · 22 Sept 2025
- Robust Mixture Models for Algorithmic Fairness Under Latent Heterogeneity2509.17411 · 22 Sept 2025
- Functional effects models: Accounting for preference heterogeneity in panel data with machine learning2509.18047 · 22 Sept 2025
- Robust, Online, and Adaptive Decentralized Gaussian Processes2509.18011 · 22 Sept 2025
- Kernel K-means clustering of distributional data2509.18037 · 22 Sept 2025
- Optimal Bias-variance Tradeoff in Matrix and Tensor Estimation2509.17382 · 22 Sept 2025
- Whitening Spherical Gaussian Mixtures in the Large-Dimensional Regime2509.17636 · 22 Sept 2025
- Effects of Structural Allocation of Geometric Task Diversity in Linear Meta-Learning Models2509.18349 · 22 Sept 2025
- Stochastic Path Planning in Correlated Obstacle Fields2509.19559 · 23 Sept 2025
- Anchored Langevin Algorithms2509.19455 · 23 Sept 2025
- Estimating Heterogeneous Causal Effect on Networks via Orthogonal Learning2509.18484 · 23 Sept 2025
- Consistency of Selection Strategies for Fraud Detection2509.18739 · 23 Sept 2025
- A Gradient Flow Approach to Solving Inverse Problems with Latent Diffusion Models2509.19276 · 23 Sept 2025
- Neighbor Embeddings Using Unbalanced Optimal Transport Metrics2509.19226 · 23 Sept 2025
- Sample completion, structured correlation, and Netflix problems2509.20404 · 23 Sept 2025
- Recovering Wasserstein Distance Matrices from Few Measurements2509.19250 · 23 Sept 2025
- MAGIC: Multi-task Gaussian process for joint imputation and classification in healthcare time series2509.19577 · 23 Sept 2025
- Unsupervised Domain Adaptation for Binary Classification with an Unobservable Source Subpopulation2509.20587 · 24 Sept 2025
- High-Dimensional Statistical Process Control via Manifold Fitting and Learning2509.19820 · 24 Sept 2025
- Error Propagation in Dynamic Programming: From Stochastic Control to Option Pricing2509.20239 · 24 Sept 2025
- First-Extinction Law for Resampling Processes2509.20101 · 24 Sept 2025
- BioBO: Biology-informed Bayesian Optimization for Perturbation Design2509.19988 · 24 Sept 2025
- Fast Estimation of Wasserstein Distances via Regression on Sliced Wasserstein Distances2509.20508 · 24 Sept 2025
- Convex Regression with a Penalty2509.19788 · 24 Sept 2025
- Geometric Autoencoder Priors for Bayesian Inversion: Learn First Observe Later2509.19929 · 24 Sept 2025
- A Gapped Scale-Sensitive Dimension and Lower Bounds for Offset Rademacher Complexity2509.20618 · 24 Sept 2025
- Diffusion and Flow-based Copulas: Forgetting and Remembering Dependencies2509.19707 · 24 Sept 2025
- Near-Optimal Experiment Design in Linear non-Gaussian Cyclic Models2509.21423 · 25 Sept 2025
- IndiSeek learns information-guided disentangled representations2509.21584 · 25 Sept 2025
- Effective continuous equations for adaptive SGD: a stochastic analysis view2509.21614 · 25 Sept 2025
- Breaking the curse of dimensionality for linear rules: optimal predictors over the ellipsoid2509.21174 · 25 Sept 2025
- Conditionally Whitened Generative Models for Probabilistic Time Series Forecasting2509.20928 · 25 Sept 2025
- Fast segmentation of watermarked texts from large language models through an epidemic change-point framework2509.21160 · 25 Sept 2025
- RAPTOR-GEN: RApid PosTeriOR GENerator for Bayesian Learning in Biomanufacturing2509.20753 · 25 Sept 2025
- General Pruning Criteria for Fast SBL2509.21572 · 25 Sept 2025
- Empirical PAC-Bayes Bounds for Markov Chains2509.20985 · 25 Sept 2025
- A Hierarchical Variational Graph Fused Lasso for Recovering Relative Rates in Spatial Compositional Data2509.20636 · 25 Sept 2025
- Response to Promises and Pitfalls of Deep Kernel Learning2509.21228 · 25 Sept 2025
- Best-of-$\infty$ -- Asymptotic Performance of Test-Time LLM Ensembling2509.21091 · 25 Sept 2025
- Metrics for Parametric Families of Networks2509.22549 · 26 Sept 2025
- Smoothing-Based Conformal Prediction for Balancing Efficiency and Interpretability2509.22529 · 26 Sept 2025
- Multi-modal Bayesian Neural Network Surrogates with Conjugate Last-Layer Estimation2509.21711 · 26 Sept 2025
- A theoretical guarantee for SyncRank2509.22766 · 26 Sept 2025
- A Semiparametric Discrete Hawkes Model with a Collapsed Gaussian-Process Prior2509.21996 · 26 Sept 2025
- Localized Uncertainty Quantification in Random Forests via Proximities2509.22928 · 26 Sept 2025
- Variance-Bounded Evaluation of Entity-Centric AI Systems Without Ground Truth: Theory and Measurement2509.22751 · 26 Sept 2025
- Identifying Memory Effects in Epidemics via a Fractional SEIRD Model and Physics-Informed Neural Networks2509.22760 · 26 Sept 2025
- CausalKANs: interpretable treatment effect estimation with Kolmogorov-Arnold networks2509.22467 · 26 Sept 2025
- SADA: Safe and Adaptive Aggregation of Multiple Black-Box Predictions in Semi-Supervised Learning2509.21707 · 26 Sept 2025
- Preventing Model Collapse Under Overparametrization: Optimal Mixing Ratios for Interpolation Learning and Ridge Regression2509.22341 · 26 Sept 2025
- Unsupervised Conformal Inference: Bootstrapping and Alignment to Control LLM Uncertainty2509.23002 · 26 Sept 2025
- Linear Causal Representation Learning by Topological Ordering, Pruning, and Disentanglement2509.22553 · 26 Sept 2025
- Causal-EPIG: A Prediction-Oriented Active Learning Framework for CATE Estimation2509.21866 · 26 Sept 2025
- Label-Guided Imputation via Forest-Based Proximities for Improved Time Series Classification2509.22919 · 26 Sept 2025
- A Random Matrix Perspective of Echo State Networks: From Precise Bias--Variance Characterization to Optimal Regularization2509.22011 · 26 Sept 2025
- Differentially Private Two-Stage Gradient Descent for Instrumental Variable Regression2509.22794 · 26 Sept 2025
- Debiased Front-Door Learners for Heterogeneous Effects2509.22531 · 26 Sept 2025
- Incorporating priors in learning: a random matrix study under a teacher-student framework2509.22124 · 26 Sept 2025
- Sequential 1-bit Mean Estimation with Near-Optimal Sample Complexity2509.21940 · 26 Sept 2025
- Multidimensional Uncertainty Quantification via Optimal Transport2509.22380 · 26 Sept 2025
- Universal Inverse Distillation for Matching Models with Real-Data Supervision (No GANs)2509.22459 · 26 Sept 2025
- Towards Efficient Online Exploration for Reinforcement Learning with Human Feedback2509.22633 · 26 Sept 2025
- Concept activation vectors: a unifying view and adversarial attacks2509.22755 · 26 Sept 2025
- Conditional Risk Minimization with Side Information: A Tractable, Universal Optimal Transport Framework2509.23128 · 27 Sept 2025
- A Generative Model for Controllable Feature Heterophily in Graphs2509.23230 · 27 Sept 2025
- Sparse Deep Additive Model with Interactions: Enhancing Interpretability and Predictability2509.23068 · 27 Sept 2025
- Statistical Inference for Gradient Boosting Regression2509.23127 · 27 Sept 2025
- Flow Matching Calibration for Simulation-Based Inference under Model Misspecification2509.23385 · 27 Sept 2025
- End-to-End Deep Learning for Predicting Metric Space-Valued Outputs2509.23544 · 28 Sept 2025
- Mathematically rigorous proofs for Shapley explanations2510.03281 · 28 Sept 2025
- Quantile-Scaled Bayesian Optimization Using Rank-Only Feedback2510.03277 · 28 Sept 2025