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

Papers

901. Asymptotic Theory of Eigenvectors for Latent Embeddings with Generalized Laplacian Matrices2503.00640 · 1 Mar 2025
902. Data-Efficient Kernel Methods for Learning Differential Equations and Their Solution Operators: Algorithms and Error Analysis2503.01036 · 2 Mar 2025
903. PABBO: Preferential Amortized Black-Box Optimization2503.00924 · 2 Mar 2025
904. Asymptotic Analysis of Two-Layer Neural Networks after One Gradient Step under Gaussian Mixtures Data with Structure2503.00856 · 2 Mar 2025
905. Mathematical Foundation of Interpretable Equivariant Surrogate Models2503.01942 · 3 Mar 2025
906. Improving the statistical efficiency of cross-conformal prediction2503.01495 · 3 Mar 2025
907. A Tight Regret Analysis of Non-Parametric Repeated Contextual Brokerage2503.02646 · 3 Mar 2025
908. Vector Copula Variational Inference and Dependent Block Posterior Approximations2503.01072 · 3 Mar 2025
909. Learning Stochastic Dynamical Systems with Structured Noise2503.01077 · 3 Mar 2025
910. Gradient-free stochastic optimization for additive models2503.02131 · 3 Mar 2025
911. Quantifying Overfitting along the Regularization Path for Two-Part-Code MDL in Supervised Classification2503.02110 · 3 Mar 2025
912. Weighted Euclidean Distance Matrices over Mixed Continuous and Categorical Inputs for Gaussian Process Models2503.02630 · 4 Mar 2025
913. Unsupervised Attributed Dynamic Network Embedding with Stability Guarantees2503.02859 · 4 Mar 2025
914. A Practical Introduction to Kernel Discrepancies: MMD, HSIC & KSD2503.04820 · 4 Mar 2025
915. Applications of Entropy in Data Analysis and Machine Learning: A Review2503.02921 · 4 Mar 2025
916. Decentralized Reinforcement Learning for Multi-Agent Multi-Resource Allocation via Dynamic Cluster Agreements2503.02437 · 4 Mar 2025
917. BLADE: Bayesian Langevin Active Discovery with Replica Exchange for Identification of Complex Systems2503.02983 · 4 Mar 2025
918. Multiaccuracy and Multicalibration via Proxy Groups2503.02870 · 4 Mar 2025
919. A generalized approach to label shift: the Conditional Probability Shift Model2503.02583 · 4 Mar 2025
920. Spike-and-Slab Posterior Sampling in High Dimensions2503.02798 · 4 Mar 2025
921. Central Limit Theorems for Stochastic Gradient Descent Quantile Estimators2503.02178 · 4 Mar 2025
922. PAC Learning with Improvements2503.03184 · 5 Mar 2025
923. Deep Causal Behavioral Policy Learning: Applications to Healthcare2503.03724 · 5 Mar 2025
924. Feature Matching Intervention: Leveraging Observational Data for Causal Representation Learning2503.03634 · 5 Mar 2025
925. A Criterion for Extending Continuous-Mixture Identifiability Results2503.03536 · 5 Mar 2025
926. Conformal prediction of future insurance claims in the regression problem2503.03659 · 5 Mar 2025
927. DO-IQS: Dynamics-Aware Offline Inverse Q-Learning for Optimal Stopping with Unknown Gain Functions2503.03515 · 5 Mar 2025
928. Convergence Rates for Softmax Gating Mixture of Experts2503.03213 · 5 Mar 2025
929. Exploring specialization and sensitivity of convolutional neural networks in the context of simultaneous image augmentations2503.03283 · 5 Mar 2025
930. Reheated Gradient-based Discrete Sampling for Combinatorial Optimization2503.04047 · 6 Mar 2025
931. Time-varying Factor Augmented Vector Autoregression with Grouped Sparse Autoencoder2503.04386 · 6 Mar 2025
932. InfoSEM: A Deep Generative Model with Informative Priors for Gene Regulatory Network Inference2503.04483 · 6 Mar 2025
933. Poisoning Bayesian Inference via Data Deletion and Replication2503.04480 · 6 Mar 2025
934. A characterization of sample adaptivity in UCB data2503.04855 · 6 Mar 2025
935. Reproducibility Assessment of Magnetic Resonance Spectroscopy of Pregenual Anterior Cingulate Cortex across Sessions and Vendors via the Cloud Computing Platform CloudBrain-MRS2503.04453 · 6 Mar 2025
936. Tightening optimality gap with confidence through conformal prediction2503.04071 · 6 Mar 2025
937. Learning Causal Response Representations through Direct Effect Analysis2503.04358 · 6 Mar 2025
938. Generalization in Federated Learning: A Conditional Mutual Information Framework2503.04091 · 6 Mar 2025
939. Foreclassing: A new machine learning perspective on human decision making with temporal data2503.04956 · 6 Mar 2025
940. Propagating Model Uncertainty through Filtering-based Probabilistic Numerical ODE Solvers2503.04684 · 6 Mar 2025
941. Topology-Aware Conformal Prediction for Stream Networks2503.04981 · 6 Mar 2025
942. Determinant Estimation under Memory Constraints and Neural Scaling Laws2503.04424 · 6 Mar 2025
943. Leveraging priors on distribution functions for multi-arm bandits2503.04518 · 6 Mar 2025
944. Comparing regularisation paths of (conjugate) gradient estimators in ridge regression2503.05542 · 7 Mar 2025
945. Empirical Bound Information-Directed Sampling for Norm-Agnostic Bandits2503.05098 · 7 Mar 2025
946. On Mitigating Affinity Bias through Bandits with Evolving Biased Feedback2503.05662 · 7 Mar 2025
947. Graph Alignment via Birkhoff Relaxation2503.05323 · 7 Mar 2025
948. A Review on Riemannian Metric Learning: Closer to You than You Imagine2503.05321 · 7 Mar 2025
949. Double Debiased Machine Learning for Mediation Analysis with Continuous Treatments2503.06156 · 8 Mar 2025
950. On Statistical Estimation of Edge-Reinforced Random Walks2503.06115 · 8 Mar 2025
951. Fixing the Pitfalls of Probabilistic Time-Series Forecasting Evaluation by Kernel Quadrature2503.06079 · 8 Mar 2025
952. Analyzing the Role of Permutation Invariance in Linear Mode Connectivity2503.06001 · 8 Mar 2025
953. Swift Hydra: Self-Reinforcing Generative Framework for Anomaly Detection with Multiple Mamba Models2503.06413 · 9 Mar 2025
954. Adaptive Bayesian Optimization for Robust Identification of Stochastic Dynamical Systems2503.06381 · 9 Mar 2025
955. Higher Order Reduced Rank Regression2503.06528 · 9 Mar 2025
956. Probabilistic Shielding for Safe Reinforcement Learning2503.07671 · 9 Mar 2025
957. Unique Rashomon Sets for Robust Active Learning2503.06770 · 9 Mar 2025
958. Cost-Aware Optimal Pairwise Pure Exploration2503.07877 · 10 Mar 2025
959. The influence of missing data mechanisms and simple missing data handling techniques on fairness2503.07313 · 10 Mar 2025
960. Efficient Distributed Learning over Decentralized Networks with Convoluted Support Vector Machine2503.07563 · 10 Mar 2025
961. A Unified View of Optimal Kernel Hypothesis Testing2503.07084 · 10 Mar 2025
962. Pure Exploration with Feedback Graphs2503.07824 · 10 Mar 2025
963. Uncertainty quantification and posterior sampling for network reconstruction2503.07736 · 10 Mar 2025
964. Personalized Convolutional Dictionary Learning of Physiological Time Series2503.07687 · 10 Mar 2025
965. Scaffold with Stochastic Gradients: New Analysis with Linear Speed-Up2503.07594 · 10 Mar 2025
966. How good is PAC-Bayes at explaining generalisation?2503.08231 · 11 Mar 2025
967. A Deep Bayesian Nonparametric Framework for Robust Mutual Information Estimation2503.08902 · 11 Mar 2025
968. Learning Pareto manifolds in high dimensions: How can regularization help?2503.08849 · 11 Mar 2025
969. Rethinking Diffusion Model in High Dimension2503.08643 · 11 Mar 2025
970. Massively Parallel Expectation Maximization For Approximate Posteriors2503.08264 · 11 Mar 2025
971. Benign Overfitting and the Geometry of the Ridge Regression Solution in Binary Classification2503.07966 · 11 Mar 2025
972. Two-Dimensional Deep ReLU CNN Approximation for Korobov Functions: A Constructive Approach2503.07976 · 11 Mar 2025
973. Sparsity-Induced Global Matrix Autoregressive Model with Auxiliary Network Data2503.08579 · 11 Mar 2025
974. Median Consensus Embedding for Dimensionality Reduction2503.08103 · 11 Mar 2025
975. Risk-sensitive Bandits: Arm Mixture Optimality and Regret-efficient Algorithms2503.08896 · 11 Mar 2025
976. Computational bottlenecks for denoising diffusions2503.08028 · 11 Mar 2025
977. Locally Private Nonparametric Contextual Multi-armed Bandits2503.08098 · 11 Mar 2025
978. A Theory of Learning with Autoregressive Chain of Thought2503.07932 · 11 Mar 2025
979. Towards Regulatory-Confirmed Adaptive Clinical Trials: Machine Learning Opportunities and Solutions2503.09226 · 12 Mar 2025
980. Neural Network-Based Change Point Detection for Large-Scale Time-Evolving Data2503.09541 · 12 Mar 2025
981. Self-Consistent Equation-guided Neural Networks for Censored Time-to-Event Data2503.09097 · 12 Mar 2025
982. Power Spectrum Signatures of Graphs2503.09660 · 12 Mar 2025
983. Addressing pitfalls in implicit unobserved confounding synthesis using explicit block hierarchical ancestral sampling2503.09194 · 12 Mar 2025
984. Learn then Decide: A Learning Approach for Designing Data Marketplaces2503.10773 · 13 Mar 2025
985. Exploiting Concavity Information in Gaussian Process Contextual Bandit Optimization2503.10836 · 13 Mar 2025
986. Sample and Map from a Single Convex Potential: Generation using Conjugate Moment Measures2503.10576 · 13 Mar 2025
987. On the Identifiability of Causal Abstractions2503.10834 · 13 Mar 2025
988. Mamba time series forecasting with uncertainty quantification2503.10873 · 13 Mar 2025
989. Explainable Bayesian deep learning through input-skip Latent Binary Bayesian Neural Networks2503.10496 · 13 Mar 2025
990. Positivity sets of hinge functions2503.13512 · 14 Mar 2025
991. Clustering Items through Bandit Feedback: Finding the Right Feature out of Many2503.11209 · 14 Mar 2025
992. CRPS-Based Targeted Sequential Design with Application in Chemical Space2503.11250 · 14 Mar 2025
993. Ranking and Selection with Simultaneous Input Data Collection2503.11773 · 14 Mar 2025
994. When Do Transformers Outperform Feedforward and Recurrent Networks? A Statistical Perspective2503.11272 · 14 Mar 2025
995. Bayes and Biased Estimators Without Hyper-parameter Estimation: Comparable Performance to the Empirical-Bayes-Based Regularized Estimator2503.11854 · 14 Mar 2025
996. Support Collapse of Deep Gaussian Processes with Polynomial Kernels for a Wide Regime of Hyperparameters2503.12266 · 15 Mar 2025
997. Nonlinear Principal Component Analysis with Random Bernoulli Features for Process Monitoring2503.12456 · 16 Mar 2025
998. Optimizing ML Training with Metagradient Descent2503.13751 · 17 Mar 2025
999. Bayesian Kernel Regression for Functional Data2503.13676 · 17 Mar 2025
1000. Edgeworth Expansion for Semi-hard Triplet Loss2503.12893 · 17 Mar 2025