Statistics, Machine Learning papers, 2026-03-01 to 2026-08-31

Papers

601. The Sample Complexity of Multiple Change Point Identification under Bandit Feedback2605.13252 · 13 May 2026
602. State-of-art minibatches via novel DPP kernels: discretization, wavelets, and rough objectives2605.13127 · 13 May 2026
603. Amortized Neural Clustering of Time Series based on Statistical Features2605.13128 · 13 May 2026
604. On Hallucinations in Inverse Problems: Fundamental Limits and Provable Assessment Methods2605.13146 · 13 May 2026
605. Causal Learning with the Invariance Principle2605.13589 · 13 May 2026
606. Average Gradient Outer Product in kernel regression provably recovers the central subspace for multi-index models2605.15082 · 14 May 2026
607. On Kernel Eigen-alignments of KRR: Reconstruction and Generalization2605.15240 · 14 May 2026
608. Logging Policy Design for Off-Policy Evaluation2605.15108 · 14 May 2026
609. Scaling Laws from Sequential Feature Recovery: A Solvable Hierarchical Model2605.14567 · 14 May 2026
610. Harnessing Unimodality in Semiparametric Contextual Pricing via Oracle Price Map Learning2605.15411 · 14 May 2026
611. From Data to Action: Accelerating Refinery Optimization with AI2605.15085 · 14 May 2026
612. On the Burden of Achieving Fairness in Conformal Prediction2605.14260 · 14 May 2026
613. RoSHAP: A Distributional Framework and Robust Metric for Stable Feature Attribution2605.15154 · 14 May 2026
614. Training-Free Generative Sampling via Moment-Matched Score Smoothing2605.14276 · 14 May 2026
615. K-Models: a Flexible and Interpretable Method for Ordinal Clustering with Application to Antigen-Antibody Interaction Profiles2605.14828 · 14 May 2026
616. Large Dimensional Kernel Ridge Regression: Extending to Product Kernels2605.14524 · 14 May 2026
617. Pessimistic Risk-Aware Policy Learning in Contextual Bandits2605.15620 · 15 May 2026
618. StAD: Stein Amortized Divergence for Fast Likelihoods with Diffusion and Flow2605.16486 · 15 May 2026
619. Testing properties of trees in graphical models with covariance queries2605.15996 · 15 May 2026
620. MaxSketch: Robust Distinct Counting in Streams via Random Projections2605.15571 · 15 May 2026
621. $α$-TCAV: A Unified Framework for Testing with Concept Activation Vectors2605.15688 · 15 May 2026
622. Unsupervised Domain Shift Detection with Interpretable Subspace Attribution2605.15920 · 15 May 2026
623. Skew-adaptive conformal prediction2605.16145 · 15 May 2026
624. A numerical study into neural network surrogate model performance for uncertainty propagation2605.16078 · 15 May 2026
625. Isotonic Survival Regression: Calibrated Survival Distributions from Deep Cox Models2605.16571 · 15 May 2026
626. A Scalable Nonparametric Continuous-Time Survival Model through Numerical Quadrature2605.16208 · 15 May 2026
627. Explainable AI Isn't Enough! Rethinking Algorithmic Contestability2605.16041 · 15 May 2026
628. Dimension-Uniform Discretization Analysis of Preconditioned Annealed Langevin Dynamics for Multimodal Gaussian Mixtures2605.16473 · 15 May 2026
629. Sample-efficient inductive matrix completion with noise and inexact side-information2605.17189 · 16 May 2026
630. A Fourier perspective on the learning dynamics of neural networks: from sample complexities to mechanistic insights2605.16913 · 16 May 2026
631. CAST: Causal Anchored Simplex Transport for Distribution-Valued Time Series2605.16919 · 16 May 2026
632. HYVINT: Intensity-Driven Hypergraph Generation with Variational Embeddings2605.16836 · 16 May 2026
633. Multi-task Linear Regression without Eigenvalue Lower Bounds: Adaptivity, Robustness, and Safety2605.17126 · 16 May 2026
634. Diffusion-Based Stochastic Operator Networks for Uncertainty Quantification in Stochastic Partial Differential Equations2605.17107 · 16 May 2026
635. Prediction-Intervention Games and Invariant Sets2605.16828 · 16 May 2026
636. On Gaussian approximation for entropy-regularized Q-learning with function approximation2605.17678 · 17 May 2026
637. Conformal Prediction via Transported Beta Laws2605.19024 · 18 May 2026
638. Statistical Limits and Efficient Algorithms for Differentially Private Federated Learning2605.18656 · 18 May 2026
639. Connections between the Föllmer process and the denoising diffusion probabilistic model2605.18040 · 18 May 2026
640. How does feature learning reshape the function space?2605.17718 · 18 May 2026
641. Flowing with Confidence2605.18472 · 18 May 2026
642. Shallow ReLU$^s$ Networks in $L^p$-Type and Sobolev Spaces: Approximation and Path-Norm Controlled Generalization2605.18468 · 18 May 2026
643. Geometric Dictionary Learning of Dynamical Systems with Optimal Transport2605.18276 · 18 May 2026
644. Canonical Regularisation of Wide Feature-Learning Neural Networks2605.18180 · 18 May 2026
645. Generalized Functional ANOVA in Closed-Form: A Unified View of Additive Explanations2605.18422 · 18 May 2026
646. StatQAT: Statistical Quantizer Optimization for Deep Networks2605.17745 · 18 May 2026
647. Online Conformal Prediction for Non-Exchangeable Panel Data2605.17705 · 18 May 2026
648. Information Processing Capacity of Stationary Physical Systems: Theory, Data-efficient Estimation Methods, and Photonic Demonstration2605.19152 · 18 May 2026
649. Provably Data-driven Lagrangian Relaxation for Mixed Integer Linear Programming2605.19052 · 18 May 2026
650. Feature Learning in Linear-Width Two-Layer Networks: Two vs. One Step of Gradient Descent2605.17767 · 18 May 2026
651. Reducing Diffusion Model Memorization with Higher Order Langevin Dynamics2605.19170 · 18 May 2026
652. Multi-Head Attention as Ensemble Nadaraya-Watson Estimation: Variance Reduction, Decorrelation, and Optimal Head Diversity2605.20271 · 18 May 2026
653. Bayesian Latent Space Models for Graphs Are Misspecified: Toward Robust Inference via Generalized Posteriors2605.18927 · 18 May 2026
654. Markov Chain Decoders Overcome the Heavy-Tail Limitations of Lipschitz Generative Models2605.18931 · 18 May 2026
655. SURGE: Approximation and Training Free Particle Filter for Diffusion Surrogate2605.18745 · 18 May 2026
656. Wasserstein bounds for denoising diffusion probabilistic models via the Föllmer process2605.18069 · 18 May 2026
657. Dual-Channel Tensor Neural Networks: Finite-Sample Theory and Conformal Structure Selection2605.19122 · 18 May 2026
658. Forward-Learned Discrete Diffusion: Learning how to noise to denoise faster2605.18204 · 18 May 2026
659. Simple Approximation and Derivative Free Inference-Time Scaling for Diffusion Models via Sequential Monte Carlo on Path Measures2605.17850 · 18 May 2026
660. A data-driven Fourier-mixture neural-network method for density estimation2605.18019 · 18 May 2026
661. On Stability and Decomposition of Sample Quantiles under Heavy-Tailed Distributions2605.18370 · 18 May 2026
662. A Unified Framework for Structure-Aware Clustering and Heterogeneous Causal Graph Learning2605.19313 · 19 May 2026
663. Posterior Contraction of Lévy Adaptive B-spline Regression in Besov Spaces2605.19610 · 19 May 2026
664. Probabilistic Multivariate Time Series Forecasting with Diffusion Copulas2605.19685 · 19 May 2026
665. Sample Complexity of Transfer Learning: An Optimal Transport Approach2605.20545 · 19 May 2026
666. Tweedie's Formulae and Diffusion Generative Models Beyond Gaussian2605.19391 · 19 May 2026
667. Factor Augmented High-Dimensional SGD2605.19291 · 19 May 2026
668. Density-Ratio Losses for Post-Hoc Learning to Defer2605.19557 · 19 May 2026
669. Spectral bandits for smooth graph functions with applications in recommender systems2605.20552 · 19 May 2026
670. Goal-Oriented Lower-Tail Calibration of Gaussian Processes for Bayesian Optimization2605.20145 · 19 May 2026
671. Optimizing Computational-Statistical Runtime for Wasserstein Distance Estimation2605.20122 · 19 May 2026
672. Group-Aware Matrix Estimation and Latent Subspace Recovery2605.20559 · 19 May 2026
673. Contradiction Graphs Determine VC Dimension2605.20434 · 19 May 2026
674. Tail Annealing for Heavy-Tailed Flow Matching2605.20068 · 19 May 2026
675. Corrected Integrated Laplace Approximation for Bayesian Inference in Latent Gaussian Models2605.20345 · 19 May 2026
676. Gaussian Approximation and Multiplier Bootstrap for Federated Linear Stochastic Approximation2605.19629 · 19 May 2026
677. Increasing Missingness to Reduce Bias: Richardson-SGD with Missing Data2605.19641 · 19 May 2026
678. Adaptive RBF-KAN: A Comparative Evaluation of Dynamic Shape Parameters in Kolmogorov-Arnold Networks2605.21534 · 20 May 2026
679. A Rigorous, Tractable Measure of Model Complexity2605.21167 · 20 May 2026
680. Theoretical guidelines for annealed Langevin dynamics in compositional simulation-based inference2605.21253 · 20 May 2026
681. Federated LoRA Fine-Tuning for LLMs via Collaborative Alignment2605.21217 · 20 May 2026
682. Scalable Reinforcement Learning via Adaptive Batch Scaling2605.21557 · 20 May 2026
683. Large-Step Training Dynamics of a Two-Factor Linear Transformer Model2605.21292 · 20 May 2026
684. Conditioning Gaussian Processes on Almost Anything2605.21041 · 20 May 2026
685. Local Covariate Selection for Average Causal Effect Estimation without Pretreatment and Causal Sufficiency Assumptions2605.21548 · 20 May 2026
686. Memorisation, convergence and generalisation in generative models2605.21402 · 20 May 2026
687. Support-aware offline policy selection for advertising marketplaces2605.21736 · 20 May 2026
688. Semiparametric Efficient Bilevel Gradient Estimation2605.21341 · 20 May 2026
689. From Betting to Empirical Bernstein LIL2605.22124 · 21 May 2026
690. Uniform-in-Time Weak Propagation-of-Chaos in Shallow Neural Networks2605.22010 · 21 May 2026
691. Finite-Particle Convergence Rates for Conservative and Non-Conservative Drifting Models2605.22795 · 21 May 2026
692. A Martingale Kernel Independence Test2605.22549 · 21 May 2026
693. Do Not Trust The Auctioneer: Learning to Bid in Feedback-Manipulated Auctions2605.22438 · 21 May 2026
694. LLM Sparsity Prior for Robust Feature Selection2605.23102 · 21 May 2026
695. KAPLAN: Kolmogorov-Arnold Prognostic Learnable Activation Networks for Survival Analysis2605.23082 · 21 May 2026
696. Diffusion-based Denoising Beats Vanilla Score Matching in Parameter Estimation: A Theoretical Explanation2605.22950 · 21 May 2026
697. The ASE-LSE Disagreement Landscape: An End-to-End Characterisation of Extremes and Structural Drivers2605.22346 · 21 May 2026
698. Asymmetric Scaling Laws from Sparse Features2605.23591 · 22 May 2026
699. Detecting Metastable Basins in High Dimensions via Marginal Trajectory Distribution Discrimination2605.24136 · 22 May 2026
700. Causality as the Statistical Conscience of Artificial Intelligence: From Pearl's Ladder to Trustworthy Machines2605.24076 · 22 May 2026