Image de couverture de livre

Sampling-based federated inference for M-estimators with non-smooth objective functions

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Li, Xiudi, Tian, Lu, Cai, Tianxi
Format:	Preprint
Publié:	2025
Sujets:	Methodology
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Nonparametric estimation of time-varying network connections by multi-stage smoothing
par: Lee, Jeonghwan, et autres
Publié: (2026)

Efficient Inference for Covariate-adjusted Bradley-Terry Model with Covariate Shift
par: Li, Xiudi, et autres
Publié: (2025)

Efficient Inference for Time-to-Event Outcomes by Integrating Right-Censored and Current Status Data
par: Li, Xiudi, et autres
Publié: (2025)

Model-free Approach to Evaluate a Censored Intermediate Outcome as a Surrogate for Overall Survival
par: Wang, Xuan, et autres
Publié: (2024)

Convolution-smoothing based locally sparse estimation for functional quantile regression
par: Liu, Hua, et autres
Publié: (2025)

Nonparametric estimation of the total treatment effect with multiple outcomes in the presence of terminal events
par: Gronsbell, Jessica, et autres
Publié: (2024)

Semi-supervised Triply Robust Inductive Transfer Learning
par: Cai, Tianxi, et autres
Publié: (2022)

Estimation of High-Dimensional Markov-Switching VAR Models with an Approximate EM Algorithm
par: Li, Xiudi, et autres
Publié: (2022)

Large multi-response linear regression estimation based on low-rank pre-smoothing
par: Tian, Xinle, et autres
Publié: (2024)

Selection of functional predictors and smooth coefficient estimation for scalar-on-function regression models
par: Fathi, Hedayat, et autres
Publié: (2025)

Model-assisted and Knowledge-guided Transfer Regression for the Underrepresented Population
par: Zhou, Doudou, et autres
Publié: (2024)

Transfer Learning with Network Embeddings under Structured Missingness
par: Li, Mengyan, et autres
Publié: (2026)

Online robust estimation and bootstrap inference for function-on-scalar regression
par: Cheng, Guanghui, et autres
Publié: (2024)

Doubly-robust inference and optimality in structure-agnostic models with smoothness
par: Bonvini, Matteo, et autres
Publié: (2024)

Post-selection inference for penalized M-estimators via score thinning
par: Perry, Ronan, et autres
Publié: (2026)

Representation-Enhanced Neural Knowledge Integration with Application to Large-Scale Medical Ontology Learning
par: Liu, Suqi, et autres
Publié: (2024)

Effective and flexible depth-based inference for functional parameters
par: Yeon, Hyemin
Publié: (2026)

Design-based theory for causal inference
par: Lu, Xin, et autres
Publié: (2025)

Towards a turnkey approach to unbiased Monte Carlo estimation of smooth functions of expectations
par: Chopin, Nicolas, et autres
Publié: (2024)

Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift
par: Ying, Chao, et autres
Publié: (2025)

Latent Factor Point Processes for Patient Representation in Electronic Health Records
par: Knight, Parker, et autres
Publié: (2025)

Anisotropic local constant smoothing for change-point regression function estimation
par: Thompson, John R. J., et autres
Publié: (2020)

Sample size and power calculations for causal inference of observational studies
par: Liu, Bo, et autres
Publié: (2025)

On the partial autocorrelation function for locally stationary time series: characterization, estimation and inference
par: Ding, Xiucai, et autres
Publié: (2024)

Domain Adaptation Optimized for Robustness in Mixture Populations
par: Zhan, Keyao, et autres
Publié: (2024)

Spherical Mixture Integration for Latent Embedding Alignment across Multi-Source Feature Spaces
par: Zhang, Yuming, et autres
Publié: (2026)

Design-based edge-level causal inference with machine learning assisted covariate adjustment
par: Yu, Haoyang, et autres
Publié: (2026)

Perturbation-Robust Predictive Modeling of Social Effects by Network Subspace Generalized Linear Models
par: Wang, Jianxiang, et autres
Publié: (2024)

Sample size and power calculations for causal inference with time-to-event outcomes
par: Yang, Chengxin, et autres
Publié: (2026)

Computationally and statistically efficient estimation of time-smoothed counterfactual curves
par: Susmann, Herbert P., et autres
Publié: (2025)

Spatially smoothed robust covariance estimation for local outlier detection
par: Puchhammer, Patricia, et autres
Publié: (2023)

Doubly robust causal inference through penalized bias-reduced estimation: combining non-probability samples with designed surveys
par: Du, Jiacong, et autres
Publié: (2024)

DANIEL: A Distributed and Scalable Approach for Global Representation Learning with EHR Applications
par: Wang, Zebin, et autres
Publié: (2025)

Valid post-selection inference for penalized G-estimation
par: Jaman, Ajmery, et autres
Publié: (2025)

Estimation and inference for minimizer and minimum of convex functions: optimality, adaptivity and uncertainty principles
par: Cai, T. Tony, et autres
Publié: (2023)

Semi-supervised Clustering Through Representation Learning of Large-scale EHR Data
par: Wang, Linshanshan, et autres
Publié: (2025)

Simulation-based inference via telescoping ratio estimation for trawl processes
par: Leonte, Dan, et autres
Publié: (2025)

Inference of Dependency Knowledge Graph for Electronic Health Records
par: Xu, Zhiwei, et autres
Publié: (2023)

Optimal and Efficient Sample Size Re-estimation: A Dynamic Cost Framework
par: Jin, Rui, et autres
Publié: (2025)

Conformal inference for random objects
par: Zhou, Hang, et autres
Publié: (2024)