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
- Non-asymptotic error bounds for probability flow ODEs under weak log-concavity2510.17608 · 20 Oct 2025
- Arbitrated Indirect Treatment Comparisons2510.18071 · 20 Oct 2025
- Certified Self-Consistency: Statistical Guarantees and Test-Time Training for Reliable Reasoning in LLMs2510.17472 · 20 Oct 2025
- Generalization Below the Edge of Stability: The Role of Data Geometry2510.18120 · 20 Oct 2025
- Optimal Best Arm Identification under Differential Privacy2510.17348 · 20 Oct 2025
- DFNN: A Deep Fréchet Neural Network Framework for Learning Metric-Space-Valued Responses2510.17072 · 20 Oct 2025
- Interval Prediction of Annual Average Daily Traffic on Local Roads via Quantile Random Forest with High-Dimensional Spatial Data2510.18548 · 21 Oct 2025
- The Bias-Variance Tradeoff in Data-Driven Optimization: A Local Misspecification Perspective2510.18215 · 21 Oct 2025
- Parametrising the Inhomogeneity Inducing Capacity of a Training Set, and its Impact on Supervised Learning2510.18332 · 21 Oct 2025
- Learning under Quantization for High-Dimensional Linear Regression2510.18259 · 21 Oct 2025
- A Frequentist Statistical Introduction to Variational Inference, Autoencoders, and Diffusion Models2510.18777 · 21 Oct 2025
- Calibrated Principal Component Regression2510.19020 · 21 Oct 2025
- Signature Kernel Scoring Rule: A Spatio-Temporal Diagnostic for Probabilistic Weather Forecasting2510.19110 · 21 Oct 2025
- A Derandomization Framework for Structure Discovery: Applications in Neural Networks and Beyond2510.19382 · 22 Oct 2025
- Learning Upper Lower Value Envelopes to Shape Online RL: A Principled Approach2510.19528 · 22 Oct 2025
- Extreme Event Aware ($η$-) Learning2510.19161 · 22 Oct 2025
- Topology of Currencies: Persistent Homology for FX Co-movements: A Comparative Clustering Study2510.19306 · 22 Oct 2025
- Survival of the fittest Cox model: Pivotal variable selection for time-to-event data2510.19374 · 22 Oct 2025
- Metadata Extraction Leveraging Large Language Models2510.19334 · 22 Oct 2025
- On the Hardness of Reinforcement Learning with Transition Look-Ahead2510.19372 · 22 Oct 2025
- Enhanced Cyclic Coordinate Descent Methods for Elastic Net Penalized Linear Models2510.19999 · 22 Oct 2025
- Kernel Learning with Adversarial Features: Numerical Efficiency and Adaptive Regularization2510.20883 · 23 Oct 2025
- Testing Most Influential Sets2510.20372 · 23 Oct 2025
- Compositional Generation for Long-Horizon Coupled PDEs2510.20141 · 23 Oct 2025
- Finding the Sweet Spot: Trading Quality, Cost, and Speed During Inference-Time LLM Reflection2510.20653 · 23 Oct 2025
- Neural Networks for Censored Expectile Regression Based on Data Augmentation2510.20344 · 23 Oct 2025
- A Spectral Framework for Graph Neural Operators: Convergence Guarantees and Tradeoffs2510.20954 · 23 Oct 2025
- Concentration and excess risk bounds for imbalanced classification with synthetic oversampling2510.20472 · 23 Oct 2025
- Learning Decentralized Routing Policies via Graph Attention-based Multi-Agent Reinforcement Learning in Lunar Delay-Tolerant Networks2510.20436 · 23 Oct 2025
- Diffusion Autoencoders with Perceivers for Long, Irregular and Multimodal Astronomical Sequences2510.20595 · 23 Oct 2025
- Exponential Convergence Guarantees for Iterative Markovian Fitting2510.20871 · 23 Oct 2025
- Deep Ensembles for Epistemic Uncertainty: A Frequentist Perspective2510.22063 · 24 Oct 2025
- Fisher meets Feynman: score-based variational inference with a product of experts2510.21598 · 24 Oct 2025
- Differentially Private High-dimensional Variable Selection via Integer Programming2510.22062 · 24 Oct 2025
- HollowFlow: Efficient Sample Likelihood Evaluation using Hollow Message Passing2510.21542 · 24 Oct 2025
- Oracle-Efficient Combinatorial Semi-Bandits2510.21431 · 24 Oct 2025
- Enforcing Calibration in Multi-Output Probabilistic Regression with Pre-rank Regularization2510.21273 · 24 Oct 2025
- Input Adaptive Bayesian Model Averaging2510.22054 · 24 Oct 2025
- Bridging Prediction and Attribution: Identifying Forward and Backward Causal Influence Ranges Using Assimilative Causal Inference2510.21889 · 24 Oct 2025
- Doubly-Regressing Approach for Subgroup Fairness2510.21091 · 24 Oct 2025
- Multimodal Datasets with Controllable Mutual Information2510.21686 · 24 Oct 2025
- A PyTorch Framework for Scalable Non-Crossing Quantile Regression2510.22419 · 25 Oct 2025
- MetaCaDI: A Meta-Learning Framework for Causal Discovery from Multiple Environments with Unknown Interventions2510.22298 · 25 Oct 2025
- MMbeddings: Parameter-Efficient, Low-Overfitting Probabilistic Embeddings Inspired by Nonlinear Mixed Models2510.22198 · 25 Oct 2025
- Statistical Analysis of the Sinkhorn Iterations for Two-Sample Schrödinger Bridge Estimation2510.22560 · 26 Oct 2025
- Block Coordinate Descent for Neural Networks Provably Finds Global Minima2510.22667 · 26 Oct 2025
- Beyond Normality: Reliable A/B Testing with Non-Gaussian Data2510.23666 · 26 Oct 2025
- OEUVRE: OnlinE Unbiased Variance-Reduced loss Estimation2510.22744 · 26 Oct 2025
- Semi-Supervised Learning under General Causal Models2510.22567 · 26 Oct 2025
- Complexity Dependent Error Rates for Physics-informed Statistical Learning via the Small-ball Method2510.23149 · 27 Oct 2025
- Rate-optimal Design for Anytime Best Arm Identification2510.23199 · 27 Oct 2025
- Understanding Fairness and Prediction Error through Subspace Decomposition and Influence Analysis2510.23935 · 27 Oct 2025
- Minimizing Human Intervention in Online Classification2510.23557 · 27 Oct 2025
- Tighter CMI-Based Generalization Bounds via Stochastic Projection and Quantization2510.23485 · 27 Oct 2025
- Coupled Flow Matching2510.23015 · 27 Oct 2025
- Friction on Demand: A Generative Framework for the Inverse Design of Metainterfaces2511.03735 · 27 Oct 2025
- VIKING: Deep variational inference with stochastic projections2510.23684 · 27 Oct 2025
- Robust Decision Making with Partially Calibrated Forecasts2510.23471 · 27 Oct 2025
- Bayesian neural networks with interpretable priors from Mercer kernels2510.23745 · 27 Oct 2025
- Optimal In-context Adaptivity and Distributional Robustness of Transformers2510.23254 · 27 Oct 2025
- Comparison of generalised additive models and neural networks in applications: A systematic review2510.24601 · 28 Oct 2025
- Self-Concordant Perturbations for Linear Bandits2510.24187 · 28 Oct 2025
- Copula-Stein Discrepancy: A Generator-Based Stein Operator for Archimedean Dependence2510.24056 · 28 Oct 2025
- Score-based constrained generative modeling via Langevin diffusions with boundary conditions2510.23985 · 28 Oct 2025
- Statistical physics of deep learning: Optimal learning of a multi-layer perceptron near interpolation2510.24616 · 28 Oct 2025
- Tree Ensemble Explainability through the Hoeffding Functional Decomposition and TreeHFD Algorithm2510.24815 · 28 Oct 2025
- Using latent representations to link disjoint longitudinal data for mixed-effects regression2510.25531 · 29 Oct 2025
- Multimodal Bandits: Regret Lower Bounds and Optimal Algorithms2510.25811 · 29 Oct 2025
- How Data Mixing Shapes In-Context Learning: Asymptotic Equivalence for Transformers with MLPs2510.25753 · 29 Oct 2025
- E-Scores for (In)Correctness Assessment of Generative Model Outputs2510.25770 · 29 Oct 2025
- Error Bounds and Optimal Schedules for Masked Diffusions with Factorized Approximations2510.25544 · 29 Oct 2025
- Generative Bayesian Optimization: Generative Models as Acquisition Functions2510.25240 · 29 Oct 2025
- Monitoring the calibration of probability forecasts with an application to concept drift detection involving image classification2510.25573 · 29 Oct 2025
- Convergence of off-policy TD(0) with linear function approximation for reversible Markov chains2510.25514 · 29 Oct 2025
- Conformal Prediction Beyond the Horizon: Distribution-Free Inference for Policy Evaluation2510.26026 · 29 Oct 2025
- Assessment of the conditional exchangeability assumption in causal machine learning models: a simulation study2510.26700 · 30 Oct 2025
- Multi-Output Robust and Conjugate Gaussian Processes2510.26401 · 30 Oct 2025
- Bridging the Gap between Empirical Welfare Maximization and Conditional Average Treatment Effect Estimation in Policy Learning2510.26723 · 30 Oct 2025
- Uncertainty-Aware Diagnostics for Physics-Informed Machine Learning2510.26121 · 30 Oct 2025
- Bias-Corrected Data Synthesis for Imbalanced Learning2510.26046 · 30 Oct 2025
- Data-driven Projection Generation for Efficiently Solving Heterogeneous Quadratic Programming Problems2510.26061 · 30 Oct 2025
- Overspecified Mixture Discriminant Analysis: Exponential Convergence, Statistical Guarantees, and Remote Sensing Applications2510.27056 · 30 Oct 2025
- Action-Driven Processes for Continuous-Time Control2510.26672 · 30 Oct 2025
- A Unified Theory for Causal Inference: Direct Debiased Machine Learning via Bregman-Riesz Regression2510.26783 · 30 Oct 2025
- $L_1$-norm Regularized Indefinite Kernel Logistic Regression2510.26043 · 30 Oct 2025
- Gradient Boosted Mixed Models: Flexible Estimation of Mean and Variance Components for Clustered Data2511.00217 · 31 Oct 2025
- Interpretable Model-Aware Counterfactual Explanations for Random Forest2510.27397 · 31 Oct 2025
- Decreasing Entropic Regularization Averaged Gradient for Semi-Discrete Optimal Transport2510.27340 · 31 Oct 2025
- On the Equivalence of Optimal Transport Problem and Action Matching with Optimal Vector Fields2510.27385 · 31 Oct 2025
- Bayesian Optimization on Networks2510.27643 · 31 Oct 2025
- Minimax-Optimal Two-Sample Test with Sliced Wasserstein2510.27498 · 31 Oct 2025
- Optimal Convergence Analysis of DDPM for General Distributions2510.27562 · 31 Oct 2025