arXiv Statistics @arxiv_stats@qoto.org

Ratio Divergence Learning Using Target Energy in Restricted Boltzmann Machines: Beyond Kullback--Leibler Divergence Learning https://arxiv.org/abs/2409.07679 #cond-mat.dis-nn #stat.ML #math.ST #stat.ME #stat.TH #cs.LG

Critically Damped Third-Order Langevin Dynamics https://arxiv.org/abs/2409.07697 #stat.ML #eess.SP #eess.SY #cs.LG #cs.SY

Dataset-Free Weight-Initialization on Restricted Boltzmann Machine https://arxiv.org/abs/2409.07708 #cond-mat.dis-nn #stat.ML #cs.LG

A model-based approach for clustering binned data https://arxiv.org/abs/2409.07738 #stat.ME #math.ST #stat.TH

A Stochastic Weather Model: A Case of Bono Region of Ghana https://arxiv.org/abs/2409.06731 #stat.AP #math.PR

Kramnik vs Nakamura: A Chess Scandal https://arxiv.org/abs/2409.06739 #stat.AP

Learning Deep Kernels for Non-Parametric Independence Testing https://arxiv.org/abs/2409.06890 #stat.ML #cs.LG

k-MLE, k-Bregman, k-VARs: Theory, Convergence, Computation https://arxiv.org/abs/2409.06938 #stat.ML #cs.LG

Toward Model-Agnostic Detection of New Physics Using Data-Driven Signal Regions https://arxiv.org/abs/2409.06960 #physics.data-an #stat.ML #stat.AP #cs.LG

A Practical Theory of Generalization in Selectivity Learning https://arxiv.org/abs/2409.07014 #stat.ML #cs.DB #cs.LG

Clustered Factor Analysis for Multivariate Spatial Data https://arxiv.org/abs/2409.07018 #stat.ME

From optimal score matching to optimal sampling https://arxiv.org/abs/2409.07032 #stat.ML #cs.LG

Identifiability of Polynomial Models from First Principles and via a Gr\"obner Basis Approach https://arxiv.org/abs/2409.07062 #math.ST #stat.TH

Statistical Finite Elements via Interacting Particle Langevin Dynamics https://arxiv.org/abs/2409.07101 #physics.comp-ph #stat.CO

Bridging Rested and Restless Bandits with Graph-Triggering: Rising and Rotting https://arxiv.org/abs/2409.05980 #stat.ML #cs.LG

Learning about Spatial and Temporal Proximity using Tree-Based Methods https://arxiv.org/abs/2409.06046 #stat.AP

Empirical Bernstein in smooth Banach spaces https://arxiv.org/abs/2409.06060 #math.ST #stat.TH

Variational Search Distributions https://arxiv.org/abs/2409.06142 #stat.ML #cs.LG

Nonparametric Inference for Balance in Signed Networks https://arxiv.org/abs/2409.06172 #stat.ME

Optimizing Sample Size for Supervised Machine Learning with Bulk Transcriptomic Sequencing: A Learning Curve Approach https://arxiv.org/abs/2409.06180 #q-bio.GN #stat.ME