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

Papers

501. Gaussian mixture models in Hilbert spaces via kernel methods2605.05996 · 7 May 2026
502. ConquerNet: Convolution-Smoothed Quantile ReLU Neural Networks with Minimax Guarantees2605.06265 · 7 May 2026
503. Kernel Selection is Model Selection: A Unified Complexity-Penalized Approach for MMD Two-Sample Tests2605.06883 · 7 May 2026
504. Dynamic Treatment on Networks2605.06564 · 7 May 2026
505. Variational Smoothing and Inference for SDEs from Sparse Data with Dynamic Neural Flows2605.05606 · 7 May 2026
506. Tuning Derivatives for Causal Fairness in Machine Learning2605.05882 · 7 May 2026
507. An Interpretable and Scalable Framework for Evaluating Large Language Models2605.07046 · 7 May 2026
508. Multimodal Deep Generative Model for Semi-Supervised Learning under Class Imbalance2605.06289 · 7 May 2026
509. TabCF: Distributional Control Function Estimation with Tabular Foundation Models2605.05993 · 7 May 2026
510. Decoupled PFNs: Identifiable Epistemic-Aleatoric Decomposition via Structured Synthetic Priors2605.06413 · 7 May 2026
511. A Note on Non-Negative $L_1$-Approximating Polynomials2605.08072 · 8 May 2026
512. Active Multiple-Prediction-Powered Inference2605.08429 · 8 May 2026
513. Characterizing and Correcting Effective Target Shift in Online Learning2605.07886 · 8 May 2026
514. Reliable Chain-of-Thought via Prefix Consistency2605.07654 · 8 May 2026
515. Causal EpiNets: Precision-corrected Bounds on Individual Treatment Effects using Epistemic Neural Networks2605.07065 · 8 May 2026
516. A Refined Generalization Analysis for Extreme Multi-class Supervised Contrastive Representation Learning2605.07596 · 8 May 2026
517. Sinkhorn Treatment Effects: A Causal Optimal Transport Measure2605.08485 · 8 May 2026
518. Debiased Counterfactual Generation via Flow Matching from Observations2605.07665 · 8 May 2026
519. Flow Matching for Count Data2605.07746 · 8 May 2026
520. Spectrum-Adaptive Generalization Bounds for Trained Deep Transformers2605.07297 · 8 May 2026
521. Every Feedforward Neural Network Definable in an o-Minimal Structure Has Finite Sample Complexity2605.07097 · 8 May 2026
522. Classification Fields: Arbitrarily Fine Recursive Hierarchical Clustering From Few Examples2605.07119 · 8 May 2026
523. Asymptotically Log-Optimal Bayes-Assisted Confidence Sequences for Bounded Means2605.07964 · 8 May 2026
524. CONTRA: Conformal Prediction Region via Normalizing Flow Transformation2605.08561 · 8 May 2026
525. Learnability and Competition in High-Dimensional Multi-Component ICA2605.08552 · 8 May 2026
526. TopoFisher: Learning Topological Summary Statistics by Maximizing Fisher Information2605.07720 · 8 May 2026
527. Expectation-Maximization as a Spectrally Governed Relaxation Flow2605.07818 · 8 May 2026
528. TRACE: Transport Alignment Conformal Prediction via Diffusion and Flow Matching Models2605.07100 · 8 May 2026
529. Consistency Regularised Gradient Flows for Inverse Problems2605.07907 · 8 May 2026
530. Sliced Inner Product Gromov-Wasserstein Distances2605.08546 · 8 May 2026
531. Semiparametric Efficient Test for Interpretable Distributional Treatment Effects2605.08034 · 8 May 2026
532. Tight Generalization Bounds for Noiseless Inverse Optimization2605.08866 · 9 May 2026
533. Core-Halo Decomposition: Decentralizing Large-Scale Fixed-Point Problems2605.08681 · 9 May 2026
534. Measuring and Decomposing Mode Separation via the Canonical Diffusion2605.08777 · 9 May 2026
535. Survey-aware Machine Learning: A Guideline for Valid Population Health Inference based on Scoping Review2605.08963 · 9 May 2026
536. Learning Theory of Transformers: Local-to-Global Approximation via Softmax Partition of Unity2605.08811 · 9 May 2026
537. Optimality of Sub-network Laplace Approximations: New Results and Methods2605.09075 · 9 May 2026
538. Learning stochastic multiscale models through normalizing flows2605.09718 · 10 May 2026
539. Quantitative Local Convergence of Mean-Field Stein Variational Gradient Flow2605.09456 · 10 May 2026
540. Optimal Regret for Single Index Bandits2605.09454 · 10 May 2026
541. Empirical Bayes 1-bit matrix completion2605.09509 · 10 May 2026
542. Metropolis-Adjusted Diffusion Models2605.09654 · 10 May 2026
543. Interpretable Machine Learning for Spatial Science: A Lie-Algebraic Kernel for Rotationally Anisotropic Gaussian Processes2605.11179 · 11 May 2026
544. Supercharging Bayesian Inference with Reliable AI-Informed Priors2605.09834 · 11 May 2026
545. Affine Tracing: A New Paradigm for Probabilistic Linear Solvers2605.10566 · 11 May 2026
546. Fast Training of Mixture-of-Experts for Time Series Forecasting via Expert Loss Integration2605.10330 · 11 May 2026
547. Amortizing Causal Sensitivity Analysis via Prior Data-Fitted Networks2605.10590 · 11 May 2026
548. PFN-TS: Thompson Sampling for Contextual Bandits via Prior-Data Fitted Networks2605.10137 · 11 May 2026
549. Sharp feature-learning transitions and Bayes-optimal neural scaling laws in extensive-width networks2605.10395 · 11 May 2026
550. Regret Analysis of Guided Diffusion for Black-Box Optimization over Structured Inputs2605.10385 · 11 May 2026
551. Differentially Private Sampling from Distributions via Wasserstein Projection2605.10015 · 11 May 2026
552. Unified Approach for Weakly Supervised Multicalibration2605.09857 · 11 May 2026
553. Multifidelity Gaussian process regression for solving nonlinear partial differential equations2605.10383 · 11 May 2026
554. Coarsening Linear Non-Gaussian Causal Models with Cycles2605.10163 · 11 May 2026
555. Uniform Scaling Limits in AdamW-Trained Transformers2605.11059 · 11 May 2026
556. Factual recall in linear associative memories: sharp asymptotics and mechanistic insights2605.10795 · 11 May 2026
557. Adaptive Policy Learning Under Unknown Network Interference2605.11191 · 11 May 2026
558. Characterizing the Generalization Error of Random Feature Regression with Arbitrary Data-Augmentation2605.10290 · 11 May 2026
559. Federated Language Models Under Bandwidth Budgets: Distillation Rates and Conformal Coverage2605.09986 · 11 May 2026
560. Uncertainty in Physics and AI: Taxonomy, Quantification, and Validation2605.10378 · 11 May 2026
561. Scalable Gaussian process inference via neural feature maps2605.10285 · 11 May 2026
562. Price of Quality: Sufficient Conditions for Sparse Recovery using Mixed-Quality Data2605.10713 · 11 May 2026
563. Online Conformal Prediction: Enforcing monotonicity via Online Optimization2605.12668 · 12 May 2026
564. Post-ADC Inference: Valid Inference After Active Data Collection2605.11511 · 12 May 2026
565. Variance-aware Reward Modeling with Anchor Guidance2605.11865 · 12 May 2026
566. Model-based Bootstrap of Controlled Markov Chains2605.12410 · 12 May 2026
567. Multi-Variable Conformal Prediction: Optimizing Prediction Sets without Data Splitting2605.12341 · 12 May 2026
568. Optimal Policy Learning under Budget and Coverage Constraints2605.12235 · 12 May 2026
569. Keeping Score: Efficiency Improvements in Neural Likelihood Surrogate Training via Score-Augmented Loss Functions2605.12118 · 12 May 2026
570. Self-Supervised Laplace Approximation for Bayesian Uncertainty Quantification2605.12208 · 12 May 2026
571. Information-Theoretic Generalization Bounds for Sequential Decision Making2605.12190 · 12 May 2026
572. ISOMORPH: A Supply Chain Digital Twin for Simulation, Dataset Generation, and Forecasting Benchmarks2605.12768 · 12 May 2026
573. Posterior Contraction Rates for Sparse Kolmogorov-Arnold Networks in Anisotropic Besov Spaces2605.11652 · 12 May 2026
574. Minimax Rates and Spectral Distillation for Tree Ensembles2605.11841 · 12 May 2026
575. A Unified Framework for Critical Scaling of Inverse Temperature in Self-Attention2605.12697 · 12 May 2026
576. Online Learning-to-Defer with Varying Experts2605.12340 · 12 May 2026
577. Exact Stiefel Optimization for Probabilistic PLS: Closed-Form Updates, Error Bounds, and Calibrated Uncertainty2605.11607 · 12 May 2026
578. Learning U-Statistics with Active Inference2605.11638 · 12 May 2026
579. Spatial Adapter: Structured Spatial Decomposition and Closed-Form Covariance for Frozen Predictors2605.11394 · 12 May 2026
580. Multi-Scale Dequant: Eliminating Dequantization Bottleneck via Activation Decomposition for Efficient LLM Inference2605.13915 · 13 May 2026
581. The Mechanism of Weak-to-Strong Generalization: Feature Elicitation from Latent Knowledge2605.12908 · 13 May 2026
582. LLMs as Implicit Imputers: Uncertainty Should Scale with Missing Information2605.13188 · 13 May 2026
583. AIS: Adaptive Importance Sampling for Quantized RL2605.13907 · 13 May 2026
584. What is Learnable in Valiant's Theory of the Learnable?2605.13840 · 13 May 2026
585. Coupling-Informed Transport Maps for Bayesian Filtering in Nonlinear Dynamical Systems2605.13174 · 13 May 2026
586. Coreset-Induced Conditional Velocity Flow Matching2605.12951 · 13 May 2026
587. On the Limits of Latent Reuse in Diffusion Models2605.13448 · 13 May 2026
588. Reframing preprocessing selection as model-internal calibration in near-infrared spectroscopy: A large-scale benchmark of operator-adaptive PLS and Ridge models2605.13587 · 13 May 2026
589. Adaptive Kernel Density Estimation with Pre-training2605.13092 · 13 May 2026
590. A Survey on Data-Dependent Worst-Case Generalization Bounds2605.13913 · 13 May 2026
591. Kernel-based guarantees for nonlinear parametric models in Bayesian optimization2605.13160 · 13 May 2026
592. Robust Sequential Experimental Design for A/B Testing2605.12899 · 13 May 2026
593. When Should an AI Workflow Release? Always-Valid Inference for Black-Box Generate-Verify Systems2605.12947 · 13 May 2026
594. Learning Perturbations to Extrapolate Your LLM2605.13284 · 13 May 2026
595. Pause and Reflect: Conformal Aggregation for Chain-of-Thought Reasoning2605.14098 · 13 May 2026
596. To discretize continually: Mean shift interacting particle systems for Bayesian inference2605.14142 · 13 May 2026
597. A Regret Perspective on Online Multiple Testing2605.13916 · 13 May 2026
598. Generative Modeling of Approximately Periodic Time Series by a Posterior-Weighted Gaussian Process2605.13150 · 13 May 2026
599. Conformal Anomaly Detection in Python: Moving Beyond Heuristic Thresholds with nonconform2605.13642 · 13 May 2026
600. Covariance-aware sampling for Diffusion Models2605.13910 · 13 May 2026