Statistics, Machine Learning papers, 2024-10-01 to 2025-03-31

Papers

601. Can Bayesian Neural Networks Make Confident Predictions?2501.11773 · 20 Jan 2025
602. Heterogeneous Multi-Player Multi-Armed Bandits Robust To Adversarial Attacks2501.17882 · 21 Jan 2025
603. Quantitative Error Bounds for Scaling Limits of Stochastic Iterative Algorithms2501.12212 · 21 Jan 2025
604. Uncertainty Quantification With Noise Injection in Neural Networks: A Bayesian Perspective2501.12314 · 21 Jan 2025
605. Dual NUP Representations and Min-Maximization in Factor Graphs2501.12113 · 21 Jan 2025
606. A note on the relations between mixture models, maximum-likelihood and entropic optimal transport2501.12005 · 21 Jan 2025
607. Sublinear Variational Optimization of Gaussian Mixture Models with Millions to Billions of Parameters2501.12299 · 21 Jan 2025
608. Singular leaning coefficients and efficiency in learning theory2501.12747 · 22 Jan 2025
609. Low-dimensional adaptation of diffusion models: Convergence in total variation2501.12982 · 22 Jan 2025
610. Sequential Change Point Detection via Denoising Score Matching2501.12667 · 22 Jan 2025
611. On Generalization and Distributional Update for Mimicking Observations with Adequate Exploration2501.12785 · 22 Jan 2025
612. Ultralow-dimensionality reduction for identifying critical transitions by spatial-temporal PCA2501.12582 · 22 Jan 2025
613. Fixed-Budget Change Point Identification in Piecewise Constant Bandits2501.12957 · 22 Jan 2025
614. A dimensionality reduction technique based on the Gromov-Wasserstein distance2501.13732 · 23 Jan 2025
615. Robust Amortized Bayesian Inference with Self-Consistency Losses on Unlabeled Data2501.13483 · 23 Jan 2025
616. Learning under Commission and Omission Event Outliers2501.13599 · 23 Jan 2025
617. EFiGP: Eigen-Fourier Physics-Informed Gaussian Process for Inference of Dynamic Systems2501.14107 · 23 Jan 2025
618. LITE: Efficiently Estimating Gaussian Probability of Maximality2501.13535 · 23 Jan 2025
619. Explaining Categorical Feature Interactions Using Graph Covariance and LLMs2501.14932 · 24 Jan 2025
620. Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective2501.14710 · 24 Jan 2025
621. coverforest: Conformal Predictions with Random Forest in Python2501.14570 · 24 Jan 2025
622. Optimal Transport Barycenter via Nonconvex-Concave Minimax Optimization2501.14635 · 24 Jan 2025
623. Conformal Inference of Individual Treatment Effects Using Conditional Density Estimates2501.14933 · 24 Jan 2025
624. Distributionally Robust Coreset Selection under Covariate Shift2501.14253 · 24 Jan 2025
625. Statistical Verification of Linear Classifiers2501.14430 · 24 Jan 2025
626. A Review on Self-Supervised Learning for Time Series Anomaly Detection: Recent Advances and Open Challenges2501.15196 · 25 Jan 2025
627. Median of Forests for Robust Density Estimation2501.15157 · 25 Jan 2025
628. I-trustworthy Models. A framework for trustworthiness evaluation of probabilistic classifiers2501.15617 · 26 Jan 2025
629. A Unified Information-Theoretic Framework for Meta-Learning Generalization2501.15559 · 26 Jan 2025
630. Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths2501.15522 · 26 Jan 2025
631. Scale-Insensitive Neural Network Significance Tests2501.15753 · 27 Jan 2025
632. Measuring Heterogeneity in Machine Learning with Distributed Energy Distance2501.16174 · 27 Jan 2025
633. The Effect of Optimal Self-Distillation in Noisy Gaussian Mixture Model2501.16226 · 27 Jan 2025
634. Nonparametric Sparse Online Learning of the Koopman Operator2501.16489 · 27 Jan 2025
635. Value-oriented forecast reconciliation for renewables in electricity markets2501.16086 · 27 Jan 2025
636. SAPPHIRE: Preconditioned Stochastic Variance Reduction for Faster Large-Scale Statistical Learning2501.15941 · 27 Jan 2025
637. Knoop: Practical Enhancement of Knockoff with Over-Parameterization for Variable Selection2501.17889 · 28 Jan 2025
638. Exponential Family Attention2501.16790 · 28 Jan 2025
639. Near-Optimal Algorithms for Omniprediction2501.17205 · 28 Jan 2025
640. Testing Conditional Mean Independence Using Generative Neural Networks2501.17345 · 28 Jan 2025
641. Towards the Generalization of Multi-view Learning: An Information-theoretical Analysis2501.16768 · 28 Jan 2025
642. Variational Schrödinger Momentum Diffusion2501.16675 · 28 Jan 2025
643. Marginal and Conditional Importance Measures from Machine Learning Models and Their Relationship with Conditional Average Treatment Effect2501.16988 · 28 Jan 2025
644. Sequential Learning of the Pareto Front for Multi-objective Bandits2501.17513 · 29 Jan 2025
645. A survey on Clustered Federated Learning: Taxonomy, Analysis and Applications2501.17512 · 29 Jan 2025
646. Exact characterization of ε-Safe Decision Regions for exponential family distributions and Multi Cost SVM approximation2501.17731 · 29 Jan 2025
647. Contextual Online Decision Making with Infinite-Dimensional Functional Regression2501.18359 · 30 Jan 2025
648. Unfaithful Probability Distributions in Binary Triple of Causality Directed Acyclic Graph2501.18337 · 30 Jan 2025
649. Optimal generalisation and learning transition in extensive-width shallow neural networks near interpolation2501.18530 · 30 Jan 2025
650. U-aggregation: Unsupervised Aggregation of Multiple Learning Algorithms2501.18084 · 30 Jan 2025
651. A Unified Framework for Entropy Search and Expected Improvement in Bayesian Optimization2501.18756 · 30 Jan 2025
652. Optimal Survey Design for Private Mean Estimation2501.18121 · 30 Jan 2025
653. Beyond Prior Limits: Addressing Distribution Misalignment in Particle Filtering2501.18501 · 30 Jan 2025
654. Random Feature Representation Boosting2501.18283 · 30 Jan 2025
655. On Pareto Optimality for Parametric Choice Bandits2501.19277 · 31 Jan 2025
656. Conformal Prediction in Hierarchical Classification with Constrained Representation Complexity2501.19038 · 31 Jan 2025
657. Statistical Inference for Generative Model Comparison2501.18897 · 31 Jan 2025
658. Spatial Supply Repositioning with Censored Demand Data2501.19208 · 31 Jan 2025
659. Supervised Quadratic Feature Analysis: Information Geometry Approach for Dimensionality Reduction2502.00168 · 31 Jan 2025
660. Time-Varying Bayesian Optimization Without a Metronome2501.18963 · 31 Jan 2025
661. Adaptivity and Convergence of Probability Flow ODEs in Diffusion Generative Models2501.18863 · 31 Jan 2025
662. Beyond Fixed Horizons: A Theoretical Framework for Adaptive Denoising Diffusions2501.19373 · 31 Jan 2025
663. Optimal Transport-based Conformal Prediction2501.18991 · 31 Jan 2025
664. What is causal about causal models and representations?2501.19335 · 31 Jan 2025
665. Sampling Binary Data by Denoising through Score Functions2502.00557 · 1 Feb 2025
666. Doubly Robust Monte Carlo Tree Search2502.01672 · 1 Feb 2025
667. Variance Reduction via Resampling and Experience Replay2502.00520 · 1 Feb 2025
668. Learning to Fuse Temporal Proximity Networks: A Case Study in Chimpanzee Social Interactions2502.00302 · 1 Feb 2025
669. Decentralized Inference for Spatial Data Using Low-Rank Models2502.00309 · 1 Feb 2025
670. Learning Difference-of-Convex Regularizers for Inverse Problems: A Flexible Framework with Theoretical Guarantees2502.00240 · 1 Feb 2025
671. Transition Transfer $Q$-Learning for Composite Markov Decision Processes2502.00534 · 1 Feb 2025
672. Scalable Sobolev IPM for Probability Measures on a Graph2502.00737 · 2 Feb 2025
673. Algorithmic Stability of Stochastic Gradient Descent with Momentum under Heavy-Tailed Noise2502.00885 · 2 Feb 2025
674. An Efficient Orlicz-Sobolev Approach for Transporting Unbalanced Measures on a Graph2502.00739 · 2 Feb 2025
675. HASSLE-free: A unified Framework for Sparse plus Low-Rank Matrix Decomposition for LLMs2502.00899 · 2 Feb 2025
676. Error-quantified Conformal Inference for Time Series2502.00818 · 2 Feb 2025
677. Fine-Tuning Discrete Diffusion Models with Policy Gradient Methods2502.01384 · 3 Feb 2025
678. Heterogeneous Treatment Effect in Time-to-Event Outcomes: Harnessing Censored Data with Recursively Imputed Trees2502.01575 · 3 Feb 2025
679. LoRA-One: One-Step Full Gradient Could Suffice for Fine-Tuning Large Language Models, Provably and Efficiently2502.01235 · 3 Feb 2025
680. Graph Canonical Correlation Analysis2502.01780 · 3 Feb 2025
681. Spectral Estimators for Multi-Index Models: Precise Asymptotics and Optimal Weak Recovery2502.01583 · 3 Feb 2025
682. The $\varphi$ Curve: The Shape of Generalization through the Lens of Norm-based Capacity Control2502.01585 · 3 Feb 2025
683. Spurious Correlations in High Dimensional Regression: The Roles of Regularization, Simplicity Bias and Over-Parameterization2502.01347 · 3 Feb 2025
684. PtyGenography: using generative models for regularization of the phase retrieval problem2502.01338 · 3 Feb 2025
685. Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees2502.01027 · 3 Feb 2025
686. Rational Gaussian wavelets and corresponding model driven neural networks2502.01282 · 3 Feb 2025
687. A Scalable Crawling Algorithm Utilizing Noisy Change-Indicating Signals2502.02430 · 4 Feb 2025
688. An Information-Theoretic Analysis of Thompson Sampling with Infinite Action Spaces2502.02140 · 4 Feb 2025
689. Poisson Hierarchical Indian Buffet Processes-With Indications for Microbiome Species Sampling Models2502.01919 · 4 Feb 2025
690. Catoni Contextual Bandits are Robust to Heavy-tailed Rewards2502.02486 · 4 Feb 2025
691. Information-Theoretic Proofs for Diffusion Sampling2502.02305 · 4 Feb 2025
692. Theoretical and Practical Analysis of Fréchet Regression via Comparison Geometry2502.01995 · 4 Feb 2025
693. SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations2502.02472 · 4 Feb 2025
694. Networks with Finite VC Dimension: Pro and Contra2502.02679 · 4 Feb 2025
695. Achievable distributional robustness when the robust risk is only partially identified2502.02710 · 4 Feb 2025
696. FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference2502.02363 · 4 Feb 2025
697. On the Impact of Performative Risk Minimization for Binary Random Variables2502.02331 · 4 Feb 2025
698. Variance-Adjusted Cosine Distance as Similarity Metric2502.02233 · 4 Feb 2025
699. Local minima of the empirical risk in high dimension: General theorems and convex examples2502.01953 · 4 Feb 2025
700. Distribution Transformers: Fast Approximate Bayesian Inference With On-The-Fly Prior Adaptation2502.02463 · 4 Feb 2025