Image de couverture de livre

Reconstruct Ising Model with Global Optimality via SLIDE

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Chen, Xuanyu, Zhu, Jin, Zhu, Junxian, Wang, Xueqin, Zhang, Heping
Format:	Preprint
Publié:	2023
Sujets:	Methodology
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

A Consistent and Scalable Algorithm for Best Subset Selection in Single Index Models
par: Tang, Borui, et autres
Publié: (2023)

Nonparametric Statistical Inference via Metric Distribution Function in Metric Spaces
par: Wang, Xueqin, et autres
Publié: (2021)

Studentized Tests of Independence: Random-Lifter approach
par: Gao, Zhe, et autres
Publié: (2024)

Finite Sample Valid Inference via Calibrated Bootstrap
par: Jiang, Yiran, et autres
Publié: (2024)

Nearly Optimal Subdata Selection
par: Yang, Min, et autres
Publié: (2026)

A Note on Ising Network Analysis with Missing Data
par: Zhang, Siliang, et autres
Publié: (2023)

Multi-Task Learning for High-Dimensional Regression with Many Weak Instruments
par: Zhang, Di, et autres
Publié: (2025)

Green's matching: an efficient approach to parameter estimation in complex dynamic systems
par: Tan, Jianbin, et autres
Publié: (2024)

Optimal Functional Bilinear Regression with Two-way Functional Covariates via Reproducing Kernel Hilbert Space
par: Yang, Dan, et autres
Publié: (2023)

Mixture of Finite Mixtures Model for Basket Trial
par: Geng, Junxian, et autres
Publié: (2020)

Identifying Genetic Variants for Obesity: A Knowledge Integration Quantile Regression (KIQR) Approach for Ultra-High-Dimensional Data
par: Wang, Jiantong, et autres
Publié: (2024)

Dependable Exploitation of High-Dimensional Unlabeled Data in an Assumption-Lean Framework
par: Ying, Chao, et autres
Publié: (2026)

Automatic selection of hyper-parameters via the use of softened profile likelihood
par: Chen, Gengyang, et autres
Publié: (2025)

Sparse Equation Matching: A Derivative-Free Learning for General-Order Dynamical Systems
par: Li, Jiaqiang, et autres
Publié: (2025)

Distributed Reconstruction from Compressive Measurements: Nonconvexity and Heterogeneity
par: Li, Erbo, et autres
Publié: (2025)

Dependence-Aware Label Aggregation for LLM-as-a-Judge via Ising Models
par: Balasubramanian, Krishnakumar, et autres
Publié: (2026)

Consistent Selection of the Number of Groups in Panel Models via Cross-Validation
par: Li, Zhe, et autres
Publié: (2022)

Efficient Synthetic Network Generation via Latent Embedding Reconstruction
par: Jiang, Feifan, et autres
Publié: (2026)

High-Dimensional Covariate-Dependent Discrete Graphical Models and Dynamic Ising Models
par: Roach, Lyndsay, et autres
Publié: (2025)

Approximate Gibbs Sampler for Efficient Inference of Hierarchical Bayesian Models for Grouped Count Data
par: Yu, Jin-Zhu, et autres
Publié: (2022)

HDNRA: An R package for HDLSS location testing with normal-reference approaches
par: Wang, Pengfei, et autres
Publié: (2024)

Partial Identification under High-Dimensional Potential Outcomes and Confounders via Optimal Transport
par: Wang, Yunfeng, et autres
Publié: (2026)

Optimal Fluctuations for Nonlinear Chemical Reaction Systems with General Rate Law
par: Zhao, Feng, et autres
Publié: (2025)

Balanced Stochastic Block Model for Community Detection in Signed Networks
par: Chen, Yichao, et autres
Publié: (2026)

A General Theory of Outcome Weighted Learning for Individualized Treatment Rules
par: Wang, Zhu
Publié: (2026)

Spatial Heterogeneous Additive Partial Linear Model: A Joint Approach of Bivariate Spline and Forest Lasso
par: Zhang, Xin, et autres
Publié: (2024)

DeepSuM: Deep Sufficient Modality Learning Framework
par: Gao, Zhe, et autres
Publié: (2025)

Modeling Non-Uniform Hypergraphs Using Determinantal Point Processes
par: Chen, Yichao, et autres
Publié: (2025)

From Simple to Composite Perturbations: A Unified Decomposition Framework for Stochastic Block Models
par: Hu, Jianwei, et autres
Publié: (2026)

Modeling Hypergraphs with Diversity and Heterogeneous Popularity
par: Yu, Xianshi, et autres
Publié: (2025)

Measuring Variable Importance via Accumulated Local Effects
par: Zhu, Jingyu, et autres
Publié: (2025)

Bayesian Region Selection and Prediction in Poisson Regression with Spatially Dependent Global-Local Shrinkage Prior
par: Zhu, Zihan, et autres
Publié: (2026)

Unified Robust Estimation
par: Wang, Zhu
Publié: (2020)

Private Federated Learning for High-dimensional Time Series
par: Chen, Kejun, et autres
Publié: (2026)

An Ising Similarity Regression Model for Modeling Multivariate Binary Data
par: Tho, Zhi Yang, et autres
Publié: (2024)

PrIsing: Privacy-Preserving Peer Effect Estimation via Ising Model
par: Chakraborty, Abhinav, et autres
Publié: (2024)

Residual-based Alternative Partial Least Squares for Generalized Functional Linear Models
par: Wang, Yue, et autres
Publié: (2025)

Individualized Dynamic Mediation Analysis Using Latent Factor Models
par: Zhang, Yijiao, et autres
Publié: (2024)

Quantiles, Ranks and Signs in Metric Spaces
par: Liu, Hang, et autres
Publié: (2022)

Improving time series estimation and prediction via transfer learning
par: Lin, Yuchang, et autres
Publié: (2025)