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

Papers

401. Sliced-Regularized Optimal Transport2604.23944 · 27 Apr 2026
402. Conditional Score-Based Modeling of Effective Langevin Dynamics2604.23952 · 27 Apr 2026
403. A Finite Time Analysis of Thompson Sampling for Bayesian Optimization with Preferential Feedback2604.25025 · 27 Apr 2026
404. Nonparametric Instrumental Variable Analysis Without Structural Equations: Debiased Inference on Functionals of Inverse Problems with No Solutions2604.24660 · 27 Apr 2026
405. Occam's Razor is Only as Sharp as Your ELBO2604.25984 · 28 Apr 2026
406. Elite-Driven Support Vector Machines for Classification2604.25158 · 28 Apr 2026
407. Spectral bandits2604.25272 · 28 Apr 2026
408. Robust Representation Learning through Explicit Environment Modeling2604.26128 · 28 Apr 2026
409. Deflation-Free Optimal Scoring2604.25664 · 28 Apr 2026
410. Online learning with Erdős-Rényi side-observation graphs2604.25271 · 28 Apr 2026
411. Residual-loss Anomaly Analysis of Physics-Informed Neural Networks: An Inverse Method for Change-point Detection in Nonlinear Dynamical Systems with Regime Switching2604.25655 · 28 Apr 2026
412. Adversarial Robustness of NTK Neural Networks2604.25965 · 28 Apr 2026
413. Deep-testing: the case of dependence detection2604.26558 · 29 Apr 2026
414. SCOPE-FE: Structured Control of Operator and Pairwise Exploration for Feature Engineering via Quality-Aware Candidate-Space Reduction2604.27025 · 29 Apr 2026
415. Probabilistic data quality assessment for structural monitoring data via outlier-resistant conditional diffusion model2604.26366 · 29 Apr 2026
416. Laplace Approximation for Bayesian Tensor Network Kernel Machines2604.26673 · 29 Apr 2026
417. Adaptive Norm-Based Regularization for Neural Networks2605.00171 · 30 Apr 2026
418. A Novel Computational Framework for Causal Inference: Tree-Based Discretization with ILP-Based Matching2604.27307 · 30 Apr 2026
419. Information-geometric adaptive sampling for graph diffusion2605.00250 · 30 Apr 2026
420. SHIFT: Robust Double Machine Learning for Average Dose-Response Functions under Heavy-Tailed Contamination2605.00176 · 30 Apr 2026
421. A unified perspective on fine-tuning and sampling with diffusion and flow models2605.00229 · 30 Apr 2026
422. Prediction-powered Inference by Mixture of Experts2604.27892 · 30 Apr 2026
423. Bayesian X-Learner: Calibrated Posterior Inference for Heterogeneous Treatment Effects under Heavy-Tailed Outcomes2604.27394 · 30 Apr 2026
424. Adaptive Querying with AI Persona Priors2605.00696 · 1 May 2026
425. Decentralized Proximal Stochastic Gradient Langevin Dynamics2605.00723 · 1 May 2026
426. Gradient Regularized Newton Boosting Trees with Global Convergence2605.00581 · 1 May 2026
427. Stabilizing Private LASSO under Heterogeneous Covariates via Anisotropic Objective Perturbation2605.01492 · 2 May 2026
428. Mean Testing under Truncation beyond Gaussian2605.01335 · 2 May 2026
429. Self-Normalized Martingales and Uniform Regret Bounds for Linear Regression2605.01628 · 2 May 2026
430. Missingness-aware Data Imputation via AI-powered Bayesian Generative Modeling2605.01676 · 3 May 2026
431. PRCD-MAP: Learning How Much to Trust Imperfect Priors in Causal Discovery2605.01669 · 3 May 2026
432. Distributional Causal Mediation via Conditional Generative Modeling2605.01765 · 3 May 2026
433. A Semi-Supervised Kernel Two-Sample Test2605.01775 · 3 May 2026
434. Stable Blanket with Hidden Variables and Cycles2605.01856 · 3 May 2026
435. Adaptive Estimation and Inference in Semi-parametric Heterogeneous Clustered Multitask Learning via Neyman Orthogonality2605.01907 · 3 May 2026
436. MIRA: A Score for Conditional Distribution Accuracy and Model Comparison2605.02014 · 3 May 2026
437. Extrapolation in Statistical Learning with Extreme Value Theory2605.01909 · 3 May 2026
438. Dynamic Vine Copulas: Detecting and Quantifying Time-Varying Higher-Order Interactions2605.03061 · 4 May 2026
439. Random-Effects Algorithm for Random Objects in Metric Spaces2605.02693 · 4 May 2026
440. Middle-mile logistics through the lens of goal-conditioned reinforcement learning2605.02461 · 4 May 2026
441. Online Generalised Predictive Coding2605.02675 · 4 May 2026
442. The Causal Description Gap: Information-Theoretic Separations Across Pearl's Hierarchy2605.02177 · 4 May 2026
443. Measuring Differences between Conditional Distributions using Kernel Embeddings2605.02260 · 4 May 2026
444. ParaRNN: An Interpretable and Parallelizable Recurrent Neural Network for Time-Dependent Data2605.02692 · 4 May 2026
445. Active multiple matrix completion with adaptive confidence sets2605.02458 · 4 May 2026
446. Black-box optimization of noisy functions with unknown smoothness2605.02462 · 4 May 2026
447. Conformalized Percentile Interval: Finite Sample Validity and Improved Conditional Performance2605.03233 · 4 May 2026
448. Tempered Guided Diffusion2605.03712 · 5 May 2026
449. On the Spectral Structure and Objective Equivalence of Orthogonal Multilabel Fisher Discriminants2605.03283 · 5 May 2026
450. Imbalanced Classification under Capacity Constraints2605.03289 · 5 May 2026
451. Training-Free Probabilistic Time-Series Forecasting with Conformal Seasonal Pools2605.03789 · 5 May 2026
452. Adaptive Estimation and Optimal Control in Offline Contextual MDPs without Stationarity2605.03393 · 5 May 2026
453. Low Rank Tensor Completion via Adaptive ADMM2605.03736 · 5 May 2026
454. Amortized Variational Inference for Joint Posterior and Predictive Distributions in Bayesian Uncertainty Quantification2605.03710 · 5 May 2026
455. Intrinsic effective sample size for manifold-valued Markov chain Monte Carlo via kernel discrepancy2605.03266 · 5 May 2026
456. Adapt or Forget: Provable Tradeoffs Between Adam and SGD in Nonstationary Optimization2605.04269 · 5 May 2026
457. Perturbation is All You Need for Extrapolating Language Models2605.04344 · 5 May 2026
458. Free Decompression with Algebraic Spectral Curves2605.03634 · 5 May 2026
459. Partial Effective Information Decomposition for Synergistic Causality2605.03267 · 5 May 2026
460. Predicting missing values: A good idea?2605.03733 · 5 May 2026
461. The Manokhin Probability Matrix: A Diagnostic Framework for Classifier Probability Quality2605.03816 · 5 May 2026
462. Entropic Riemannian Neural Optimal Transport2605.04255 · 5 May 2026
463. Local-Time Riemannian Score Matching on the Quantum Pure-State Manifold2605.03573 · 5 May 2026
464. Conditional Diffusion Sampling2605.04013 · 5 May 2026
465. Heterogeneous Ordinal Structure Learning with Bayesian Nonparametric Complexity Discovery2605.04191 · 5 May 2026
466. Forecasting Oncology Demand Trends with Boosting-Based Bayesian Conjugate Models2605.05270 · 6 May 2026
467. Sharp Capacity Thresholds in Linear Associative Memory: From Top-1 Retrieval to Tail-Average Learning2605.05189 · 6 May 2026
468. Multiscale Euclidean Network Trajectories: Second-Moment Geometry, Attribution, and Change Points2605.04589 · 6 May 2026
469. Permutation-preserving Functions and Neural Vecchia Covariance Kernels2605.05523 · 6 May 2026
470. Hypergraph Generation via Structured Stochastic Diffusion2605.05024 · 6 May 2026
471. Estimating Implicit Regularization in Deep Learning2605.05436 · 6 May 2026
472. Jacobian-Velocity Bounds for Deployment Risk Under Covariate Drift2605.04932 · 6 May 2026
473. Proximal Projection for Doubly Sparse Regularized Models2605.05093 · 6 May 2026
474. Scalable inference of spatial regions and temporal signatures from time series2605.05008 · 6 May 2026
475. Convexity in Disguise: A Theoretical Framework for Nonconvex Low-Rank Matrix Estimation2605.05446 · 6 May 2026
476. Maximizing Rollout Informativeness under a Fixed Budget: A Submodular View of Tree Search for Tool-Use Agentic Reinforcement Learning2605.05262 · 6 May 2026
477. Spectral Lens: Activation and Gradient Spectra as Diagnostics of LLM Optimization2605.05683 · 7 May 2026
478. Super-Level-Set Regression: Conditional Quantiles via Volume Minimization2605.06210 · 7 May 2026
479. A Differentiable Bayesian Relaxation for Latent Partial-Order Inference2605.06976 · 7 May 2026
480. Neural-Actuarial Longevity Forecasting: Anchoring LSTMs for Explainable Risk Management2605.06438 · 7 May 2026
481. Decentralized Conformal Novelty Detection via Quantized Model Exchange2605.08263 · 7 May 2026
482. In-Context Positive-Unlabeled Learning2605.05591 · 7 May 2026
483. CITE: Anytime-Valid Statistical Inference in LLM Self-Consistency2605.05873 · 7 May 2026
484. DARTS: Targeting Prognostic Covariates in Budget-Constrained Sequential Experiments2605.06608 · 7 May 2026
485. BGM-IV: an AI-powered Bayesian generative modeling approach for instrumental variable analysis2605.07029 · 7 May 2026
486. How Does Attention Help? Insights from Random Matrices on Signal Recovery from Sequence Models2605.06826 · 7 May 2026
487. Beyond the Independence Assumption: Finite-Sample Guarantees for Deep Q-Learning under $τ$-Mixing2605.06373 · 7 May 2026
488. End-to-End Identifiable and Consistent Recurrent Switching Dynamical Systems2605.06315 · 7 May 2026
489. Towards Reliable LLM Evaluation: Correcting the Winner's Curse in Adaptive Benchmarking2605.05973 · 7 May 2026
490. Ratio-based Loss Functions2605.05808 · 7 May 2026
491. Risk-Controlled Post-Processing of Decision Policies2605.06479 · 7 May 2026
492. Locally Near Optimal Piecewise Linear Regression in High Dimensions via Difference of Max-Affine Functions2605.06959 · 7 May 2026
493. Fourier Feature Methods for Nonlinear Causal Discovery: FFML Scoring, TRFF Scoring, and FFCI Testing in Mixed Data2605.05743 · 7 May 2026
494. The Interplay of Data Structure and Imbalance in the Learning Dynamics of Diffusion Models2605.06367 · 7 May 2026
495. One Operator for Many Densities: Amortized Approximation of Conditioning by Neural Operators2605.06873 · 7 May 2026
496. Expressivity of Bi-Lipschitz Normalizing Flows: A Score-Based Diffusion Perspective2605.06172 · 7 May 2026
497. Transformers Provably Implement In-Context Reinforcement Learning with Policy Improvement2605.05755 · 7 May 2026
498. When Does Trimming Help Conformal Prediction? A Retained-Law Diagnostic under Calibration Contamination2605.06204 · 7 May 2026
499. Relaxed Sparsest-Permutation Formulation for Causal Discovery at Scale2605.05568 · 7 May 2026
500. Spherical Flows for Sampling Categorical Data2605.05629 · 7 May 2026