Imagen de Portada

Interaction Screening and Pseudolikelihood Approaches for Tensor Learning in Ising Models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Liu, Tianyu, Mukherjee, Somabha
Formato:	Preprint
Publicado:	2023
Materias:	Methodology Statistics Theory Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Robust Estimation for Dependent Binary Network Data
por: Liu, Tianyu, et al.
Publicado: (2025)

Interaction Order Estimation in Tensor Curie-Weiss Models
por: Mukherjee, Somabha
Publicado: (2024)

Optimal Confidence Bands for Shape-restricted Regression in Multidimensions
por: Ashley, et al.
Publicado: (2024)

Jointly Modeling and Clustering Tensors in High Dimensions
por: Cai, Biao, et al.
Publicado: (2021)

Adaptive Estimation and Inference in Semi-parametric Heterogeneous Clustered Multitask Learning via Neyman Orthogonality
por: Chen, Hanxiao, et al.
Publicado: (2026)

Learning under Latent Group Sparsity via Diffusion on Networks
por: Ghosh, Subhroshekhar, et al.
Publicado: (2025)

Winners with Confidence: Discrete Argmin Inference with an Application to Model Selection
por: Zhang, Tianyu, et al.
Publicado: (2024)

Self-Distillation is Optimal Among Spectral Shrinkage Estimators in Spiked Covariance Models
por: Lecoiu, Radu, et al.
Publicado: (2026)

Online Estimation with Rolling Validation: Adaptive Nonparametric Estimation with Streaming Data
por: Zhang, Tianyu, et al.
Publicado: (2023)

Optimal Nuisance Function Tuning for Estimating a Doubly Robust Functional under Proportional Asymptotics
por: McGrath, Sean, et al.
Publicado: (2025)

Minimax optimal adaptive structured transfer learning through semi-parametric domain-varying coefficient model
por: Chen, Hanxiao, et al.
Publicado: (2026)

Optimal Bias-variance Tradeoff in Matrix and Tensor Estimation
por: Kumar, Shivam, et al.
Publicado: (2025)

Statistical and Computational Efficiency for Smooth Tensor Estimation with Unknown Permutations
por: Lee, Chanwoo, et al.
Publicado: (2021)

Nuisance Function Tuning and Sample Splitting for Optimally Estimating a Doubly Robust Functional
por: McGrath, Sean, et al.
Publicado: (2022)

Tensor PCA for Factor Models
por: Babii, Andrii, et al.
Publicado: (2022)

High Dimensional Logistic Regression Under Network Dependence
por: Mukherjee, Somabha, et al.
Publicado: (2021)

UTOPIA: Universally Trainable Optimal Prediction Intervals Aggregation
por: Fan, Jianqing, et al.
Publicado: (2023)

Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift
por: Ge, Jiawei, et al.
Publicado: (2024)

On the estimation rate of Bayesian PINN for inverse problems
por: Sun, Yi, et al.
Publicado: (2024)

Consistent model selection in the spiked Wigner model via AIC-type criteria
por: Mukherjee, Soumendu Sundar
Publicado: (2023)

Method-of-Moments Inference for GLMs and Doubly Robust Functionals under Proportional Asymptotics
por: Chen, Xingyu, et al.
Publicado: (2024)

Learning Linear Polytree Structural Equation Models
por: Lou, Xingmei, et al.
Publicado: (2021)

Tensor-on-Tensor Regression: Riemannian Optimization, Over-parameterization, Statistical-computational Gap, and Their Interplay
por: Luo, Yuetian, et al.
Publicado: (2022)

A Double Machine Learning Approach for the Evaluation of COVID-19 Vaccine Effectiveness under the Test-Negative Design: Analysis of Québec Administrative Data
por: Jiang, Cong, et al.
Publicado: (2023)

A new approach to locally adaptive polynomial regression
por: Chatterjee, Sabyasachi, et al.
Publicado: (2024)

Robust Unsupervised Multi-task and Transfer Learning on Gaussian Mixture Models
por: Tian, Ye, et al.
Publicado: (2022)

MoMA: Model-based Mirror Ascent for Offline Reinforcement Learning
por: Hong, Mao, et al.
Publicado: (2024)

Minimax Regret Learning for Data with Heterogeneous Subgroups
por: Mo, Weibin, et al.
Publicado: (2024)

Robustness Against Weak or Invalid Instruments: Exploring Nonlinear Treatment Models with Machine Learning
por: Guo, Zijian, et al.
Publicado: (2022)

Representation-Enhanced Neural Knowledge Integration with Application to Large-Scale Medical Ontology Learning
por: Liu, Suqi, et al.
Publicado: (2024)

Rates of Convergence of the Magnetization in the Tensor Curie-Weiss Potts Model
por: Bhowal, Sanchayan, et al.
Publicado: (2024)

Preventing Model Collapse Under Overparametrization: Optimal Mixing Ratios for Interpolation Learning and Ridge Regression
por: Garg, Anvit, et al.
Publicado: (2025)

AdaTrans: Feature-wise and Sample-wise Adaptive Transfer Learning for High-dimensional Regression
por: He, Zelin, et al.
Publicado: (2024)

Strongly Consistent Community Detection in Popularity Adjusted Block Models
por: Yuan, Quan, et al.
Publicado: (2025)

The $ϕ$-PCA Framework: A Unified and Efficiency-Preserving Approach with Robust Variants
por: Hung, Hung, et al.
Publicado: (2025)

Online Selective Conformal Prediction with Asymmetric Rules: A Permutation Test Approach
por: Zheng, Mingyi, et al.
Publicado: (2026)

Bayesian Semi-supervised Inference via a Debiased Modeling Approach
por: Sert, Gözde, et al.
Publicado: (2025)

Tensor Methods in High Dimensional Data Analysis: Opportunities and Challenges
por: Auddy, Arnab, et al.
Publicado: (2024)

Revisit CP Tensor Decomposition: Statistical Optimality and Fast Convergence
por: Tang, Runshi, et al.
Publicado: (2025)

PrIsing: Privacy-Preserving Peer Effect Estimation via Ising Model
por: Chakraborty, Abhinav, et al.
Publicado: (2024)