:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhao, Boxin, Kolar, Mladen, Lv, Jinchi
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Methodology
Online Access:	https://arxiv.org/abs/2604.20161
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Trans-Glasso: A Transfer Learning Approach to Precision Matrix Estimation
by: Zhao, Boxin, et al.
Published: (2024)

High-dimensional Functional Graphical Model Structure Learning via Neighborhood Selection Approach
by: Zhao, Boxin, et al.
Published: (2021)

High-Dimensional Markov-switching Ordinary Differential Processes
by: Tsai, Katherine, et al.
Published: (2024)

Provable Accelerated Bayesian Optimization with Knowledge Transfer
by: Lin, Haitao, et al.
Published: (2025)

SOFARI-R: High-Dimensional Manifold-Based Inference for Latent Responses
by: Zheng, Zemin, et al.
Published: (2025)

MOSAIC: Minimax-Optimal Sparsity-Adaptive Inference for Change Points in Dynamic Networks
by: Fan, Yingying, et al.
Published: (2025)

HNCI: High-Dimensional Network Causal Inference
by: Du, Wenqin, et al.
Published: (2024)

LLM-Powered CPI Prediction Inference with Online Text Time Series
by: Fan, Yingying, et al.
Published: (2025)

LIDS: LLM Summary Inference Under the Layered Lens
by: Park, Dylan, et al.
Published: (2026)

ARK: Robust Knockoffs Inference with Coupling
by: Fan, Yingying, et al.
Published: (2023)

SOFARI: High-Dimensional Manifold-Based Inference
by: Zheng, Zemin, et al.
Published: (2023)

Q-Learning with Clustered-SMART (cSMART) Data: Examining Moderators in the Construction of Clustered Adaptive Interventions
by: Song, Yao, et al.
Published: (2025)

Robust and Adaptive Spectral Method for Representation Multi-Task Learning with Contamination
by: Huang, Yian, et al.
Published: (2025)

SMART Fine-tuning Factor Augmented Neural Lasso
by: Chai, Jinhang, et al.
Published: (2026)

Multi-Task Learning with Summary Statistics
by: Knight, Parker, et al.
Published: (2023)

Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback
by: Zhao, Boxin, et al.
Published: (2021)

Gradient Clipping Beyond Vector Norms: A Spectral Approach for Matrix-Valued Parameters
by: Yukhimchuk, Alexander, et al.
Published: (2026)

Multi-Task Learning for Sparsity Pattern Heterogeneity: Statistical and Computational Perspectives
by: Behdin, Kayhan, et al.
Published: (2022)

GeoERM: Geometry-Aware Multi-Task Representation Learning on Riemannian Manifolds
by: Chen, Aoran, et al.
Published: (2025)

A Graphical Approach to State Variable Selection in Off-policy Learning
by: Andersen, Joakim Blach, et al.
Published: (2025)

Few-shot Multi-Task Learning of Linear Invariant Features with Meta Subspace Pursuit
by: Zhang, Chaozhi, et al.
Published: (2024)

Multi-task Learning for Heterogeneous Data via Integrating Shared and Task-Specific Encodings
by: Sui, Yang, et al.
Published: (2025)

Cluster Quilting: Spectral Clustering for Patchwork Learning
by: Zheng, Lili, et al.
Published: (2024)

A Unified Hierarchical Multi-Task Multi-Fidelity Framework for Data-Efficient Surrogate Modeling in Manufacturing
by: Mehta, Manan, et al.
Published: (2026)

Transfer Learning for Kernel-based Regression
by: Wang, Chao, et al.
Published: (2023)

Smoothness Adaptive Hypothesis Transfer Learning
by: Lin, Haotian, et al.
Published: (2024)

Spatial Transfer Learning with Simple MLP
by: Yang, Hongjian
Published: (2024)

Demystifying Spectral Feature Learning for Instrumental Variable Regression
by: Meunier, Dimitri, et al.
Published: (2025)

Personalized Binomial DAGs Learning with Network Structured Covariates
by: Zhao, Boxin, et al.
Published: (2024)

Transfer Learning for Nonparametric Contextual Dynamic Pricing
by: Wang, Fan, et al.
Published: (2025)

Integrating Active Learning in Causal Inference with Interference: A Novel Approach in Online Experiments
by: Zhu, Hongtao, et al.
Published: (2024)

A Transfer Learning Causal Approach to Evaluate Racial/Ethnic and Geographic Variation in Outcomes Following Congenital Heart Surgery
by: Han, Larry, et al.
Published: (2024)

Multivariate and Online Transfer Learning with Uncertainty Quantification
by: Hickey, Jimmy, et al.
Published: (2024)

Transfer Learning of CATE with Kernel Ridge Regression
by: Kim, Seok-Jin, et al.
Published: (2025)

Task-Agnostic Machine-Learning-Assisted Inference
by: Miao, Jiacheng, et al.
Published: (2024)

A Transfer Learning Framework for Multilayer Networks via Model Averaging
by: Qiu, Yongqin, et al.
Published: (2025)

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

Heterogeneous Transfer Learning for Building High-Dimensional Generalized Linear Models with Disparate Datasets
by: Zhao, Ruzhang, et al.
Published: (2023)

Assessing Electricity Service Unfairness with Transfer Counterfactual Learning
by: Wei, Song, et al.
Published: (2023)

Data-Driven Knowledge Transfer in Batch $Q^*$ Learning
by: Chen, Elynn, et al.
Published: (2024)